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>> WELCOME BACK EVERYONE
TO THE

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OPEN PORTION OF THE LSTRC

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MEETING. WE NEXT HAVE A

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DIRECTOR'S UPDATE BY DR. MICHAEL

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HUERTA, ACTING DEPUTY DIRECTOR

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FOR OPERATIONS AND INNOVATION.

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NATIONAL LIBRARY OF MEDICINE. WE

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WILL TURN THE TIME OVER TO DR.

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HUERTA.

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>> GOOD AFTERNOON,
EVERYBODY, I

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WILL BE SHARING MY SCREEN. THERE

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WE GO. OOPS. THERE WE GO. MOVE

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SOME OF THESE WINDOWS OFF OF MY

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SLIDES. SO I CAN SEE THE SCREEN 

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ALL RIGHT. THANKS AGAIN, SORRY

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FOR THOSE GLITCHES GETTING

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STARTED. PATTY IS NOT ABLE TO

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MAKE IT TODAY SHE IS AT OUR

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ANNUAL TRAINING CONFERENCE. WE

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HAVE A NUMBER OF EXTRAMURAL

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INSTITUTIONAL TRAINING GRANTS

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THAT WE SUPPORT AROUND THE

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COUNTRY. AND EVERY YEAR THEY ALL

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GET TOGETHER, THIS YEAR THEY ARE

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AT STANFORD UNIVERSITY. SO SHE

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SENDS REGRETS BUT I WILL BRING

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YOU UP TO DATE ON THE LATEST AND

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GREATEST AT NLM SINCE OUR LAST

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MEETING WHICH I BELIEVE WAS IN

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OCTOBER. THE BIGGEST NEWS YOU

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PROBABLY HEARD ALREADY IF ONLY

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BY MY SHOWING YOU THE SLIDE

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ALREADY, JERRY SHEEHAN DEPUTY

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DIRECTOR FOR EXTERNAL POLICY AND

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AFFAIRS HAS LEFT THE NLM GOING

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TO THE ORGANIZATION FOR ECONOMIC

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COOPERATIVE DEVELOPMENT IN PARIS

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TO LEAD THE SCIENCE TECHNOLOGY

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AND INNOVATION DIRECTORATE.

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JERRY HAD WORKED AT OECD IN

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PARIS A WHILE BACK, A LONG TIME

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BEFORE HE GOT TO NLM BUT NOW

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HE'S GOING BACK AS THE BIG BOSS.

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SO WE WISH HIM WELL. HE

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CERTAINLY HAS CONTRIBUTED AN

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AWFUL LOT TO THE NLM 16 YEARS HE

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SPENT WITH US.  HE MADE THE

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PLACE BETTER EVERY DAY WE ALL

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WOULD AGREE. REGARDING

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LEADERSHIP, THIS LAYS OUT

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MEMBERS OF LEADERSHIP AT NLM. 

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YOU CAN SEE JERRY'S POSITION IS

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VACANT. BUT I WANT TO BRING YOUR

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ATTENTION TO THE FACT THAT MORE

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THAN THAT WE WILL BE CHANGING IN

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LEADERSHIP IN THE RELATIVELY

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NEAR FUTURE. BECAUSE NOT ONLY IS

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JERRY GONE BUT SIX OF THE OTHER

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11 MEMBER LEADERSHIP POSITIONS

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ARE IN ACTING CAPACITIES

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INCLUDING MYSELF OF COURSE. WE

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ARE ACTIVELY WORKING ON FILLING

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THESE AND I WILL SAY I THINK WE

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ARE GETTING CLOSE TO BRINGING ON

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A SCIENTIFIC DIRECTOR. EVERYBODY

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KEEP FINGERS CROSSED FOR US IF

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THAT HAPPENS. THIS IS ONE END OF

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THE PIPELINE, THE NLM

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LEADERSHIP. LET'S LOOK AT THE

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OTHER END OF THE PIPELINE IF YOU

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WILL. OUR TRAINEES. THIS SUMMER

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WE WELCOME SOME 55 INTERIMS IN

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VARIOUS PROGRAMS. ONE OF THOSE

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PROGRAMS IS THE NLM DATA

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SCHOLARS -- DATA SCIENCE AND

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INFORMATICS SCHOLARS PROGRAM. WE

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HAVE GOT NINE THERE. TOGETHER

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THESE VARIOUS INTERNSHIPS

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INCLUDE EVERYBODY FROM HIGH

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SCHOOL STUDENTS ALL THE WAY UP

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TO PROFESSIONAL, M.D.s AND

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DENTISTS AND SO FORTH. ALONG

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WITH OTHER PARTS OF NIH, WE HAVE

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RAISED OUR TRAINEE SALARIES AT

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NLM, PROBABLY HAVE SEEN THAT IN

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THE NEWS.  AT THE BOTTOM YOU SEE

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SOME OF OUR TRAINEES AT A

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RESEARCH FESTIVAL AT NIH,

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PRECEPTORS AND POSTS, ANOTHER

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COMING UP AUGUST 3 SUMMER

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INTERNS WILL BE PARTICIPATING. I

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THIS THEY ARE PLANNING NOW TO

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HAVE NINE PRESENTATIONS IN THAT

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RESEARCH FESTIVAL. SINCE OUR

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LAST MEETING WE HAVE HAD SOME

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GOOD DEVELOPMENTS AND CAPACITY

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DEVELOPMENT, AS I MENTIONED WE

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HAVE TRAINING CONFERENCE GOING

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ON RIGHT NOW AT THE TOP. AND

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THAT IS ALWAYS BEEN A VERY

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IMPORTANT PART OF NLM, OUR

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EXTRAMURAL SUPPORT OF TRAINEES

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PRE-DOCTORAL AND POST-DOCTORAL

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LEVELS. THERE ARE SOME 18 SITES

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AROUND THE COUNTRY WITH A TOTAL

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178 TRAINING SLOTS, 119 ARE

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PRE-DOC AND 59 POST DOCS AS OF

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TODAY.  I SHOULD SAY WE HAVE HAD

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THIS EXTRAMURAL TRAINING PROGRAM

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IN PLACE FOR DECADES AND LONG

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BEFORE MANY OTHER PEOPLE AT NIH

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KNEW WHAT INFORMATICS WAS, NLM

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WAS TRAINING. SO MANY OF THE

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LEADERS IN BIOMEDICAL

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INFORMATICS, DEPARTMENT CHAIRS,

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PROFESSORS, THE PROMINENT PEOPLE

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IN INFORMATICS DATA SCIENCE AS

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RELATES TO BIOMEDICINE HAVE BEEN

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TRAINED BY NLM. DIANNE BABSKI,

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ANOTHER ITEM COMPLETED THE AI

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FEDERAL LEADERSHIP PROGRAM

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THROUGH THE PARTNERSHIP FOR

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PUBLIC SERVICE AND HAS GIVEN A

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TALK ON GENERATIVE AI, ITS

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CHALLENGES, PROMISES, HOW NLM IS

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USING IT, WHAT THE BIOMEDICAL

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COMMUNITY MIGHT BE USING IT FOR,

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SO FORTH. SHE'S BEEN GIVING

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TALKS LIKE THIS ON PROBABLY

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EVERY OTHER DAY BASIS, ACROSS

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NIH AND ACROSS FEDERAL

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GOVERNMENT. SHE JUST EARLIER

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THIS WEEK GAVE A TALK TO THE NIH

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INSTITUTE AND CENTER DEPUTY

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DIRECTORS, SHE DID A GREAT JOB.

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LOTS OF INTEREST, LOTS OF

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ATTENTION BEING PAID AT NLM. TWO

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PAPERS CAME OUT REGARDING AI,

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IMAGE INTERPRETATION, ONE HAS TO

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DO WITH A FIELD STUDY THAT

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SHOWED THE ALGORITHMS DEVELOPED

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IN THE NLM INTRAMURAL RESEARCH

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PROGRAM ARE ACTUALLY ABLE TO

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PROVIDE EXPERT LEVEL GUIDANCE

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WHEN DIAGNOSED WITH DELIRIUM,

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THIS USES IMAGING DATA THROUGH

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iPHONE ATTACHED TO A

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MICROSCOPE. THAT WORK WAS LED BY

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STEPHAN YAGER AND A PAPER THAT

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ESTABLISHED PRINCIPLE THAT WAS

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DEVELOPED BY KIM TO DETECT

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VASCULAR LEAKAGE IN THE OKAY

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LAS.--OCULAS. SINCE THE LAST TIE

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MET IN FEBRUARY THE EXTRAMURAL

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RESEARCH PROGRAMS HOSTED A

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WORKSHOP CALLED MEETING THE

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NEEDS OF DIVERSION POPULATION

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THROUGH TAILORED PERSONAL HEALTH

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INFORMATICS. PERSONAL HEALTH

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INFORMATICS IS AN IMPORTANT PART

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OF STRATEGIC PLAN THAT WAS 17

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AND THIS EXTRAMURAL INVESTMENT

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IN PERSONAL HEALTH INFORMATICS

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STARTED BACK AROUND THAT TIME

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WHEN THE STRATEGIC PLAN WAS

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ISSUE. THAT PLAN, I'M SORRY,

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THAT PROGRAM WENT ON FOR NUMBER

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OF YEARS. AND WE ENDED UP

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FUNDING 12 APPLICATIONS.  THESE

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APPLICATIONS ARE AIMED FOR USE

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CASES LIKE POPULATIONS OF PEOPLE

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PREVIOUSLY INCARCERATED. T

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PEOPLE WITH SPECIFIC CHRONIC

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DISEASE LIKE MULTIPLE SCLEROSIS,

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ENDOMETRIOSIS OR EPILEPSY. YOUTH

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THAT HAVE AGED OUT OF FOSTER

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CARE, INDIVIDUALS WITH OTHER

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MULTIPLE CHRONIC CONDITIONS, AND

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GROUPS NEGATIVELY AFFECTED BY

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HEALTH DISPARITIES INCLUDING

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AFRICAN AMERICAN AND HISPANICS. 

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THE KINDS OF PRODUCTS DEVELOPED

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FROM THESE GRANTS INCLUDED

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LIBRARIES AND ACCESS TO

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INFORMATION THROUGH MOBILE APPS

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AND PORTALS.  NLP SYSTEMS THAT

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ALLOW MEDICAL JARGON IN

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ELECTRONIC HEALTH RECORDS TO BE

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TRANSLATED INTO ACTUAL

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DEFINITIONS SO THAT PEOPLE

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LOOKING AT THEIR PATIENT RECORDS

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WILL UNDERSTAND WHAT THOSE

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RECORDS ARE SAYING. A NUMBER OF

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OTHER, I WON'T READ THEM ALL

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HERE BUT THIS HAS BEEN A VERY

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SUCCESSFUL PROGRAM. AND AS

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MENTIONED IN FEBRUARY BROUGHT

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TOGETHER PRINCIPLE INVESTIGATORS

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FUNDED UNDER THIS PROGRAM AS

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WELL AS OTHER EXPERT MS. THE

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FIELD AND MEMBERS FROM THE

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COMMUNITY, TO TALK ABOUT HOW TO

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DESIGN PERSONAL HEALTH

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INFORMATICS IN WAYS THAT MEET

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THE NEEDS OF VERY SPECIFIC

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POPULATIONS.  THEY LOOKED AT THE

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CURRENT STATE OF THE SCIENCE,

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RESEARCH OPPORTUNITIES, AND

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RESEARCH CHALLENGES. AND THEY

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CAME TOGETHER AND CAME UP WITH A

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NUMBER OF RECOMMENDATIONS AND

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BEST PRACTICES. THOSE ARE SHOWN

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HERE. ONE TO EMPLOY MULTIPLE

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METHODS ALONG THE DESIGN

215
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SPECTRUM FROM USABILITY TESTING

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TO CO-DESIGN. ANOTHER IS TO

217
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THINK ABOUT SUSTAINABILITY AND

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SCALABILITY FROM THE VERY

219
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OUTSET. NEXT IS TO CONSIDER

220
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PARTNERSHIPS WITH COMMUNITY

221
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BASED ORGANIZATIONS AND PRIVATE

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SECTOR COLLABORATIONS IN

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ADDITION TO YOUR ACADEMIC

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COLLABORATORS.  FINALLY, THE

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USEFULNESS OF HAVING A MODULAR

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APPROACH WHERE COMPONENTS ARE

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REUSED REASSEMBLED WAS FOUND TO

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BE ONE OF THE BEST PRACTICES

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THIS GROUP IDENTIFIED.  WE HAVE

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ALSO IMPROVED LOTS IN OUR WORLD

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OF PROVIDING SERVICES TO THE

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WORLD. I WON'T GO THROUGH ALL

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THE THINGS BUT A FEW THINGS. THE

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SEQUENCE READ ARCHIVE HAS BEEN

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MADE MORE ROBUST IN A NUMBER OF

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WAYS WE HAVE ISSUED A DISCLAIMER

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ON PUBMED CENTRAL. TO MAKE CLEAR

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TO PEOPLE THAT THE PAPERS THAT

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THEY ARE READING FROM PUBMED

240
00:10:02,600 --> 00:10:04,600
CENTRAL ARE NOT THE SCIENCE OF

241
00:10:04,600 --> 00:10:07,000
NLM BUT NHL WILL SIMPLY SERVE

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THAT SCIENCE UP. IT IS NOT

243
00:10:09,160 --> 00:10:11,400
UNCOMMON TO READ AN ARTICLE IN

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00:10:11,400 --> 00:10:14,840
THE NEWSPAPER THAT SAYS

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ACCORDING TO NLM X Y AND Z AND

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THE X Y AND Z IS A PAPER IN

247
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PUBMED CENTRAL SO THAT IS AN

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IMPORTANT DISCLAIMER THAT WE PUT

249
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UP. AS YOU PROBABLY KNOW WE

250
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STARTED HUGE SPANISH JOURNALS

251
00:10:30,000 --> 00:10:34,800
FOR PMC AND AUTOMATED DOCUMENT.

252
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AND A NUMBER OF OTHER THINGS. 

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NEXT I WANT TO TALK ABOUT

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LEADERSHIP NLM IS PROVIDING TO

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NIH AND WE DO THIS IN A NUMBER

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OF WAYS, THIS IS JUST ONE

257
00:10:45,760 --> 00:10:47,480
EXAMPLE. THERE IS AN INITIATIVE

258
00:10:47,480 --> 00:10:51,440
CALLED DIGITAL NIH, CO--LED BY

259
00:10:51,440 --> 00:10:54,320
PATTY BRENNAN AND DENNIS CAPULA

260
00:10:54,320 --> 00:10:56,320
AN NIH WIDE INITIATIVE TO

261
00:10:56,320 --> 00:10:58,760
TRANSFORM THE WAY NIH PLAYERS,

262
00:10:58,760 --> 00:11:02,160
MANAGERS AND GOVERNS ITS

263
00:11:02,160 --> 00:11:05,320
ENTERPRISE DIGITAL SYSTEMS. NIH

264
00:11:05,320 --> 00:11:08,200
DOESN'T JUST GIVE GRANTS TO

265
00:11:08,200 --> 00:11:10,840
WORLD AND THAT IS IT, WE ARE A

266
00:11:10,840 --> 00:11:12,400
BIG ENTERPRISE WITH TENS OF

267
00:11:12,400 --> 00:11:14,840
THOUSANDS OF EMPLOYEES AND WE

268
00:11:14,840 --> 00:11:15,960
HAVE A LOT OF DIGITAL SYSTEMS

269
00:11:15,960 --> 00:11:19,280
UNDER THE HOOD.  VERY OFTEN THE

270
00:11:19,280 --> 00:11:24,160
SYSTEMS ARE DONE IN ONE OFF

271
00:11:24,160 --> 00:11:24,720
NON-COORDINATED WAY BY

272
00:11:24,720 --> 00:11:26,720
INDIVIDUAL INSTITUTE OR CENTER,

273
00:11:26,720 --> 00:11:28,560
THE IDEA IS TO BRING LOTS OF

274
00:11:28,560 --> 00:11:30,480
COORDINATION TO THE WHOLE LIFE

275
00:11:30,480 --> 00:11:35,200
CYCLE, IF YOU WILL, OF THIS

276
00:11:35,200 --> 00:11:38,720
INFRASTRUCTURE. PATTY AND DENNIS

277
00:11:38,720 --> 00:11:41,600
LED THE ENGAGEMENT WITH OVER 400

278
00:11:41,600 --> 00:11:43,840
NIH STAFF, HAD CONVERSATIONS

279
00:11:43,840 --> 00:11:47,200
WITH 20 OUTSIDE ORGANIZATIONS,

280
00:11:47,200 --> 00:11:48,840
MET WITH A NUMBER OF NIH

281
00:11:48,840 --> 00:11:50,520
GOVERNANCE COMMITTEES TO FIGURE

282
00:11:50,520 --> 00:11:53,080
OUT HOW TO PUT IN PLACE THIS

283
00:11:53,080 --> 00:11:56,200
TRANSFORMATIVE INITIATIVE. THE

284
00:11:56,200 --> 00:11:58,160
ENTERPRISE SYSTEMS THAT WERE

285
00:11:58,160 --> 00:11:58,760
SPECIFICALLY TALKING ABOUT ARE

286
00:11:58,760 --> 00:12:01,200
THOSE THAT ARE USED BY OUR

287
00:12:01,200 --> 00:12:02,360
EXTRAMURAL RESEARCH MANAGEMENT

288
00:12:02,360 --> 00:12:04,480
LIKE ERA FOR EXAMPLE, YOU ARE

289
00:12:04,480 --> 00:12:05,720
PROBABLY FAMILIAR WITH THAT.

290
00:12:05,720 --> 00:12:07,160
WITH OUR ADMINISTRATION AND

291
00:12:07,160 --> 00:12:08,960
MANAGEMENT IN OUR HR SYSTEMS AND

292
00:12:08,960 --> 00:12:12,160
PAYROLL AND THINGS LIKE THAT. AS

293
00:12:12,160 --> 00:12:14,720
WELL AS INTRAMURAL BASIC AND

294
00:12:14,720 --> 00:12:17,000
INTRAMURAL CLINICAL RESEARCH

295
00:12:17,000 --> 00:12:17,760
ACTIVITIES, THOSE WILL BE

296
00:12:17,760 --> 00:12:20,520
SCIENTIFIC DATABASES, AS WELL AS

297
00:12:20,520 --> 00:12:22,960
OTHER KINDS OF DIGITAL SYSTEMS. 

298
00:12:22,960 --> 00:12:25,240
THEY ALSO LOOK AT CROSS CUTTING

299
00:12:25,240 --> 00:12:27,080
CAPABILITIES THAT ALL THESE

300
00:12:27,080 --> 00:12:32,560
SYSTEMS WILL LEAD. I PUT THIS UP

301
00:12:32,560 --> 00:12:35,040
TO MAKE THE POINT EACH OF THESE

302
00:12:35,040 --> 00:12:38,400
FOUR FOCI IF YOU WILL, IS BEING

303
00:12:38,400 --> 00:12:41,320
LED BY A -- KIND OF THE TOP

304
00:12:41,320 --> 00:12:44,480
SUBSTANTIVE LEADER AT NIH FOR

305
00:12:44,480 --> 00:12:47,520
EACH OF YOU FOR EXAMPLE, NINA

306
00:12:47,520 --> 00:12:49,600
SHORE IS DIRECTOR OF THE

307
00:12:49,600 --> 00:12:51,920
INTRAMURAL RESEARCH PROGRAM FOR

308
00:12:51,920 --> 00:12:57,920
ALL OF NIH. MIKE LAWYER OF LAUYS

309
00:12:57,920 --> 00:13:00,440
DIRECTOR OF OFFICE OF RESEARCH.

310
00:13:00,440 --> 00:13:01,800
THEY HAVE GOOD APPROPRIATE

311
00:13:01,800 --> 00:13:03,080
LEADERSHIP AND WE ARE VERY

312
00:13:03,080 --> 00:13:06,400
EXCITED ABOUT MOVING THIS

313
00:13:06,400 --> 00:13:07,920
FORWARD TO GET MORE EFFICIENCY

314
00:13:07,920 --> 00:13:10,080
AND A LOT OF MORE COMMONS SENSE

315
00:13:10,080 --> 00:13:15,360
BUILT INTO THE WAY WE DEPLOY

316
00:13:15,360 --> 00:13:16,800
SYSTEMS. FINAL THING I THINK I

317
00:13:16,800 --> 00:13:18,720
WILL TALK ABOUT HERE IS THE

318
00:13:18,720 --> 00:13:21,560
BUDGET. THE GOOD NEWS IS THAT IN

319
00:13:21,560 --> 00:13:24,720
FISCAL YEAR 23 WE HAVE $18

320
00:13:24,720 --> 00:13:27,360
MILLION WE INVESTED IN NEW

321
00:13:27,360 --> 00:13:29,880
INITIATIVES. AGAIN I WON'T GO

322
00:13:29,880 --> 00:13:32,040
THROUGH ALL THESE. ONE WAS TO

323
00:13:32,040 --> 00:13:33,040
ADVANCE DIVERSITY INCLUSION

324
00:13:33,040 --> 00:13:35,400
EQUITY AND ACCESSIBILITY THROUGH

325
00:13:35,400 --> 00:13:39,080
A NUMBER OF ACTIVITI ACTIVITIESE

326
00:13:39,080 --> 00:13:40,600
ALSO STRENGTHENED OUR SECURITY

327
00:13:40,600 --> 00:13:42,120
POSTURE WITH SOME OF OUR MAJOR

328
00:13:42,120 --> 00:13:45,960
RESOURCES. WE HAVE IN THE PAST

329
00:13:45,960 --> 00:13:47,640
POLICY LEGISLATIVE ANALYSIS

330
00:13:47,640 --> 00:13:52,760
CAPACITY OF NLM BY ADDING STAFF

331
00:13:52,760 --> 00:13:53,760
AND THINKING ABOUT DOING

332
00:13:53,760 --> 00:13:55,960
CONSOLIDATION AND REORGANIZATION

333
00:13:55,960 --> 00:13:57,640
AROUND THAT. THAT IS AN

334
00:13:57,640 --> 00:13:59,440
IMPORTANT POINT BECAUSE AT NIH

335
00:13:59,440 --> 00:14:04,000
NLM HAS AN OUTSIDE OUTSIZED

336
00:14:04,000 --> 00:14:05,640
POSTURE WHEN IT COMES TO POLICY

337
00:14:05,640 --> 00:14:08,480
AND LEGISLATION, VERY OFTEN YOU

338
00:14:08,480 --> 00:14:10,120
INVOLVED WITH THE NIH OFFICE OF

339
00:14:10,120 --> 00:14:13,320
SCIENCE POLICY. IN OTHER KINDS

340
00:14:13,320 --> 00:14:15,320
OF OFFICES AT THE NIH OD BECAUSE

341
00:14:15,320 --> 00:14:16,520
OF THE NATURE OF THE WORK THAT

342
00:14:16,520 --> 00:14:22,800
WE DO. BUILDING UP POLICY IS A

343
00:14:22,800 --> 00:14:24,760
WELCOME THING I THINK. SO HERE

344
00:14:24,760 --> 00:14:25,480
IS OUR ONE OVER THE LAST FEW

345
00:14:25,480 --> 00:14:30,200
YEARS. YOU CAN SEE FY 23

346
00:14:30,200 --> 00:14:31,880
ENCIRCLED IN RED. AS YOU

347
00:14:31,880 --> 00:14:32,920
PROBABLY KNOW THERE WAS THE

348
00:14:32,920 --> 00:14:37,040
BUDGET DEAL THAT WILL LEAVE

349
00:14:37,040 --> 00:14:39,600
SPENDING CAPS AT FY 123

350
00:14:39,600 --> 00:14:40,680
REFERRALS FOR NON-DISCRETIONARY

351
00:14:40,680 --> 00:14:48,360
FUNDING. THERE IS INTEREST IN

352
00:14:48,360 --> 00:14:50,920
THE HOUSE TO HAVE LOWER

353
00:14:50,920 --> 00:14:52,880
APPROPRIATION THAN FY 23 THAT

354
00:14:52,880 --> 00:14:55,360
MAY NOT GET THROUGH THE SENATE

355
00:14:55,360 --> 00:14:56,720
SO I THINK THIS IS PROBABLY

356
00:14:56,720 --> 00:14:59,080
PRETTY CLOSE, I SHOULD MAKE THE

357
00:14:59,080 --> 00:15:03,800
POINT HOWEVER THAT THAT STAYING

358
00:15:03,800 --> 00:15:06,840
AT THAT LEVEL IS THE OVERALL

359
00:15:06,840 --> 00:15:11,360
BUDGET SO DOESN'T MEAN EVERY

360
00:15:11,360 --> 00:15:13,440
FEDERAL AGENCY GETS THE SAME FY

361
00:15:13,440 --> 00:15:15,560
23, THAT WOULD BE TWEAKED AROUND

362
00:15:15,560 --> 00:15:18,320
THEN. BUT ANY CASE I THINK NEXT

363
00:15:18,320 --> 00:15:20,360
YEAR IS PROBABLY NOT GOING TO BE

364
00:15:20,360 --> 00:15:22,080
AS GOOD AS THIS YEAR IN TERMS OF

365
00:15:22,080 --> 00:15:26,000
GETTING AN INCREASE. THAT WILL

366
00:15:26,000 --> 00:15:27,240
PROBABLY (INAUDIBLE). AS ALWAYS

367
00:15:27,240 --> 00:15:28,640
IF YOU WANT TO CONNECT WITH

368
00:15:28,640 --> 00:15:32,880
PATTY, WITH LEADERSHIP OF NLM,

369
00:15:32,880 --> 00:15:34,080
NUMBER OF WAYS TO DO THAT. YOU

370
00:15:34,080 --> 00:15:36,320
CAN SEE THE EMAIL ADDRESSES

371
00:15:36,320 --> 00:15:41,040
HERE, TWITTER AND I WILL REMIND

372
00:15:41,040 --> 00:15:45,520
EVERYBODY FROM PATTY FROM THE

373
00:15:45,520 --> 00:15:47,760
MEZZANINE BLOG. SHE POSTS

374
00:15:47,760 --> 00:15:49,280
INTERESTING KIND AND THOUGHTFUL

375
00:15:49,280 --> 00:15:51,360
MESSAGES ON HER BLOG. SOMETHING

376
00:15:51,360 --> 00:15:53,360
YOU CAN FOLLOW IF YOU ARE

377
00:15:53,360 --> 00:15:54,760
INTERESTED IN KEEPING UP WITH

378
00:15:54,760 --> 00:15:58,800
NLM ON A MORE REGULAR BASIS THAN

379
00:15:58,800 --> 00:15:59,800
JUST THESE MEETINGS. WITH THAT

380
00:15:59,800 --> 00:16:04,960
THANK YOU FOR YOUR ATTENTION. 

381
00:16:04,960 --> 00:16:06,280
AND HAPPY TO ANSWER ANY

382
00:16:06,280 --> 00:16:06,920
QUESTIONS YOU MAY HAVE.

383
00:16:06,920 --> 00:16:09,120
>> THANK YOU VERY MUCH,
DR.

384
00:16:09,120 --> 00:16:10,400
HUERTA FOR GIVING THAT

385
00:16:10,400 --> 00:16:14,040
DIRECTOR'S UPDATE. WHILE I GIVE

386
00:16:14,040 --> 00:16:18,560
SOME MEMBERS OF THE COMMITTEE

387
00:16:18,560 --> 00:16:22,080
CHANCE A CHANCE TO COLLECT

388
00:16:22,080 --> 00:16:24,520
THOUGHTS.  ONE QUESTION. YOU

389
00:16:24,520 --> 00:16:25,360
TALKED ABOUT THE INITIATIVE

390
00:16:25,360 --> 00:16:30,120
AROUND DIGITAL NIH. CURIOUS WHAT

391
00:16:30,120 --> 00:16:32,720
IMEXACT IF ANY THAT WOULD HAVE

392
00:16:32,720 --> 00:16:35,160
TO NLM, FOR EXAMPLE WOULD IT

393
00:16:35,160 --> 00:16:37,880
AFFECT DOMAIN NAMES, AFFECT

394
00:16:37,880 --> 00:16:40,400
ARCHITECTURE, SPECIFIC SYSTEMS,

395
00:16:40,400 --> 00:16:40,920
THOSE KINDS OF THINGS?

396
00:16:40,920 --> 00:16:43,400
>> I THINK AT THIS POINT
CERTAIN

397
00:16:43,400 --> 00:16:46,640
ASPECTS OF WHAT NLM USES WILL BE

398
00:16:46,640 --> 00:16:48,200
EFFECTIVE, THOSE ARE THE ASPECTS

399
00:16:48,200 --> 00:16:50,200
RELATED TO ENTERPRISE. SO ALL OF

400
00:16:50,200 --> 00:16:52,440
NIH SYSTEMS. THE INTRAMURAL

401
00:16:52,440 --> 00:16:57,680
RESEARCH PROGRAM FOR EXAMPLE,

402
00:16:57,680 --> 00:16:58,600
MIGHT FIND CERTAIN RESOURCES

403
00:16:58,600 --> 00:17:00,320
AVAILABLE TO THEM THAT MAYBE

404
00:17:00,320 --> 00:17:01,400
DON'T EXIST NOW IF SOMETHING

405
00:17:01,400 --> 00:17:02,520
LIKE THAT IS STARTED. I DON'T

406
00:17:02,520 --> 00:17:05,600
THINK IT WILL HAVE A BIG IMPACT

407
00:17:05,600 --> 00:17:10,800
ON OUR RESOURCES LIKE SRA SO

408
00:17:10,800 --> 00:17:15,200
FORTH EARLY ON. I CAN IMAGINE

409
00:17:15,200 --> 00:17:16,880
ONCE THIS MATURES IT WILL MAKE

410
00:17:16,880 --> 00:17:19,000
SENSE FOR OUR SYSTEMS, FOR THOSE

411
00:17:19,000 --> 00:17:21,040
SYSTEMS TO START ALIGNING WITH

412
00:17:21,040 --> 00:17:25,640
THESE OTHER ENTERPRISE SYSTEMS. 

413
00:17:25,640 --> 00:17:26,880
CERTAINLY NOT AN OVERNIGHT THING

414
00:17:26,880 --> 00:17:32,840
THOUGH.

415
00:17:32,840 --> 00:17:34,480
>> THANK YOU. ANY
COMMITTEE

416
00:17:34,480 --> 00:17:44,960
MEMBERS HAVE QUESTIONS? THANKS

417
00:17:45,680 --> 00:17:46,920
SO MUCH FOR THAT. I HOPE YOU

418
00:17:46,920 --> 00:17:50,680
HAVE A GOOD REST OF THE MEETING 

419
00:17:50,680 --> 00:17:51,680
>> THANK YOU VERY MUCH,
DR.

420
00:17:51,680 --> 00:17:52,840
HUERTA.

421
00:17:52,840 --> 00:18:01,320
>> YOU BET. 

422
00:18:01,320 --> 00:18:05,600
>> FYI DR. PRESENTNAN IS
OPEN TO

423
00:18:05,600 --> 00:18:07,440
ANYONE WHO WANTS TO DO A GUEST

424
00:18:07,440 --> 00:18:09,760
POST ON HER BLOG. IF THAT IS ON

425
00:18:09,760 --> 00:18:11,520
INTEREST TO SOMEONE ESPECIALLY

426
00:18:11,520 --> 00:18:13,520
SOMETHING AROUND SOME EVENT OR

427
00:18:13,520 --> 00:18:14,560
ANNIVERSARY OR MILESTONE OR

428
00:18:14,560 --> 00:18:15,680
SOMETHING LIKE THAT, SHE IS

429
00:18:15,680 --> 00:18:17,760
ALWAYS OPEN TO THAT IF YOU WOULD

430
00:18:17,760 --> 00:18:21,040
LIKE TO PITCH A SUGGESTION.

431
00:18:21,040 --> 00:18:22,320
>> GREAT TO KNOW. THANK
YOU VERY

432
00:18:22,320 --> 00:18:28,120
MUCH, DIANNE. NEXT UP WE HAVE

433
00:18:28,120 --> 00:18:32,000
DR. LAWRENCE HOPPER. LAUREN WE

434
00:18:32,000 --> 00:18:34,200
KNOW ON THE COMMITTEE FAIRLY

435
00:18:34,200 --> 00:18:36,000
WELL, HEAD OF THE DEVELOPMENT

436
00:18:36,000 --> 00:18:38,680
AND ACQUISITIONS SECTION OF THE

437
00:18:38,680 --> 00:18:39,840
NIH. YOU WILL GIVE THE TIME TO

438
00:18:39,840 --> 00:18:43,240
HER.

439
00:18:43,240 --> 00:18:44,920
>> (INAUDIBLE) GAVE ME A
QUICK

440
00:18:44,920 --> 00:18:47,960
PROMOTION THER THERE. I I'M HEAF

441
00:18:47,960 --> 00:18:51,120
UNIT ONE BUT MAYBE SOME DAY. SO

442
00:18:51,120 --> 00:18:53,840
I WAS HERE TO GIVE YOU GUYS SOME

443
00:18:53,840 --> 00:18:55,320
QUICK LITTLE ECLECTIC BUNCH OF

444
00:18:55,320 --> 00:18:56,560
UPDATES FOR YOU THAT ARE

445
00:18:56,560 --> 00:18:58,600
RELEVANT TO OUR TWO JOURNAL

446
00:18:58,600 --> 00:18:59,720
LITERATURE DATABASES THAT ARE

447
00:18:59,720 --> 00:19:02,480
INCLUDED IN PUBMED WHICH ARE MED

448
00:19:02,480 --> 00:19:06,680
LINE AND PUBMED CENTRAL. THE

449
00:19:06,680 --> 00:19:09,120
FIRST UPDATES I WANT TO GIVE ARE

450
00:19:09,120 --> 00:19:11,080
OVERDUE HOUSEKEEPING STATISTICS

451
00:19:11,080 --> 00:19:14,760
FROM FISCAL YEAR 2022. I'M A

452
00:19:14,760 --> 00:19:16,680
LITTLE DELINQUENT SENDING YOUR

453
00:19:16,680 --> 00:19:19,560
GUYS WAY. AS AN FYI IN FISCAL

454
00:19:19,560 --> 00:19:21,600
YEAR 2022 WE DID REVIEW 238

455
00:19:21,600 --> 00:19:24,520
APPLICATIONS FOR MED LINE. OUR

456
00:19:24,520 --> 00:19:29,800
ACCEPTANCE RATE ENDED UP BEING

457
00:19:29,800 --> 00:19:31,360
14%.  WE DON'T HAVE A SET OR

458
00:19:31,360 --> 00:19:34,640
GOAL ACCEPTANCE RATE FOR MED

459
00:19:34,640 --> 00:19:36,440
LINE BUT DOES SEEM TO SHAKE OUT

460
00:19:36,440 --> 00:19:39,280
EVERY YEAR TO BE CONSISTENT AND

461
00:19:39,280 --> 00:19:42,080
IT HAS BEEN BETWEEN 11 TO 14 OR

462
00:19:42,080 --> 00:19:44,040
15% PRETTY MUCH AS LONG AS I CAN

463
00:19:44,040 --> 00:19:46,280
GO BACK WITH STATISTICS. BUT

464
00:19:46,280 --> 00:19:48,280
LOOKING AT THESE MORE

465
00:19:48,280 --> 00:19:51,680
GRANULARLY, IF WE BREAK DOWN THE

466
00:19:51,680 --> 00:19:54,520
JOURNALS NOT ACCEPTED TO MED

467
00:19:54,520 --> 00:19:55,040
LINE, THEY RECOLLECT ARE

468
00:19:55,040 --> 00:19:56,400
JOURNALS REJECTED.  WE LOOK AT

469
00:19:56,400 --> 00:19:58,160
THE PROPORTION OF PERCENTAGE

470
00:19:58,160 --> 00:19:59,160
DEPENDING WHERE THEY WERE

471
00:19:59,160 --> 00:20:01,160
REJECTED IN REVIEW STAGE. WE ARE

472
00:20:01,160 --> 00:20:03,000
ACTUALLY SEEING THAT OVER THE

473
00:20:03,000 --> 00:20:05,200
LAST FEW YEARS, QUITE A FEW ARE

474
00:20:05,200 --> 00:20:07,680
REJECTED DURING OUR INITIAL

475
00:20:07,680 --> 00:20:09,080
APPLICATION STAGE. THESE ARE

476
00:20:09,080 --> 00:20:10,640
JOURNALS THAT DON'T MEET MINIMUM

477
00:20:10,640 --> 00:20:12,240
REQUIREMENTS TO BE ELIGIBLE FOR

478
00:20:12,240 --> 00:20:14,880
MED LINE. THINGS LIKE HAVING

479
00:20:14,880 --> 00:20:16,320
PUBLISHED AT LEAST 40 ARTICLES

480
00:20:16,320 --> 00:20:17,720
PUBLISHED FOR AT LEAST A YEAR,

481
00:20:17,720 --> 00:20:20,800
BEING BIOMEDICAL IN SCOPE. OR

482
00:20:20,800 --> 00:20:22,120
MEETING OUR MINIMUM QUALITY

483
00:20:22,120 --> 00:20:23,440
STANDARD TO EVEN BE ELIGIBLE FOR

484
00:20:23,440 --> 00:20:26,600
THE COLLECTION. SO WE ARE

485
00:20:26,600 --> 00:20:28,360
READING OUT ABOUT 35 TO 40% OF

486
00:20:28,360 --> 00:20:30,760
JOURNALS THAT END UP BEING

487
00:20:30,760 --> 00:20:35,200
REJECTED PRIOR TO LSTRC REVIEW.

488
00:20:35,200 --> 00:20:37,000
SO THE SCIENTIFIC QUALITY REVIEW

489
00:20:37,000 --> 00:20:39,960
STAGE WHICH DID INVOLVE LSTRC IS

490
00:20:39,960 --> 00:20:42,280
RESPONSIBLE FOR 60 TO 65% OF THE

491
00:20:42,280 --> 00:20:43,640
REJECTIONS SO IT IS IMPORTANT TO

492
00:20:43,640 --> 00:20:45,440
KEEP IN MIND WHEN LOOKING AT

493
00:20:45,440 --> 00:20:46,680
ACCEPTANCE RATE THAT THAT DOES

494
00:20:46,680 --> 00:20:48,320
INCLUDE JOURNALS THAT AREN'T

495
00:20:48,320 --> 00:20:50,160
EVEN ELIGIBLE TO BE CONSIDERED

496
00:20:50,160 --> 00:20:54,760
FOR MED LINE. THE NEXT UPDATE TO

497
00:20:54,760 --> 00:20:58,720
GIVE YOU GUYS IS AN UPDATE TO

498
00:20:58,720 --> 00:20:59,960
NLM POLICY OR CHANGES TO

499
00:20:59,960 --> 00:21:00,960
JOURNALS THAT ARE CURRENTLY

500
00:21:00,960 --> 00:21:03,280
INCLUDED IN PUBMED CENTRAL OR

501
00:21:03,280 --> 00:21:06,080
MED LINE SO THIS IS A LONG

502
00:21:06,080 --> 00:21:08,080
STANDING POLICY BUT WE UPDATED

503
00:21:08,080 --> 00:21:10,480
OUR GUIDANCE ON THE POLICY TO

504
00:21:10,480 --> 00:21:12,040
CLARIFY A FEW THINGS AND FINE

505
00:21:12,040 --> 00:21:15,000
TUNE THE POLICY. THE FIRST PART

506
00:21:15,000 --> 00:21:18,240
OF THE POLICY CLARIFIES WHAT NLM

507
00:21:18,240 --> 00:21:19,640
EXPECTS, JOURNALS OR PUBLISHERS

508
00:21:19,640 --> 00:21:22,960
WITH JOURNALS THAT ARE IN PMC

509
00:21:22,960 --> 00:21:25,440
MED LINE TO REPORT BACK TO NLM

510
00:21:25,440 --> 00:21:26,480
ABOUT ANY CHANGES WITH THEIR

511
00:21:26,480 --> 00:21:27,640
JOURNAL SO THE KINDS OF THINGS

512
00:21:27,640 --> 00:21:29,920
WE EXPECT THEM TO REPORT TO US

513
00:21:29,920 --> 00:21:32,720
ARE CHANGES IN JOURNAL TITLE,

514
00:21:32,720 --> 00:21:35,320
CHANGE IN JOURNAL PUBLISHER,

515
00:21:35,320 --> 00:21:36,720
OWNERSHIP, SCOPE, EDITORIAL

516
00:21:36,720 --> 00:21:42,600
BOARD OR EDITORIAL POLICIES.  

517
00:21:42,600 --> 00:21:44,640
CONVERSELY, NLM MONITORS

518
00:21:44,640 --> 00:21:45,720
JOURNALS FOR CHANGE IN

519
00:21:45,720 --> 00:21:47,440
PUBLICATION PRACTICE. SO THIS

520
00:21:47,440 --> 00:21:49,040
INCLUDES THINGS SUCH AS CHANGES

521
00:21:49,040 --> 00:21:51,680
IN PUBLICATION VOLUME AND

522
00:21:51,680 --> 00:21:53,440
CHANGES CONTENT TYPES. THE BIG

523
00:21:53,440 --> 00:21:55,160
ONE HERE IS PUBLICATION VOLUME

524
00:21:55,160 --> 00:21:57,240
SO THIS WOULD BE SOMETHING LIKE

525
00:21:57,240 --> 00:22:00,600
IF A JOURNAL IS IN MED LINE AND

526
00:22:00,600 --> 00:22:01,400
PUBLISHES 50 ARTICLES IN ONE

527
00:22:01,400 --> 00:22:03,120
YEAR AND THEN WE SEE TWO YEARS

528
00:22:03,120 --> 00:22:04,760
LATER THEY ARE PUBLISHING 5,000

529
00:22:04,760 --> 00:22:06,120
ARTICLES IN A YEAR. THAT

530
00:22:06,120 --> 00:22:08,760
DEFINITELY HAPPENS. THAT IS THE

531
00:22:08,760 --> 00:22:09,440
KIND OF THING THAT WILL TRIGGER

532
00:22:09,440 --> 00:22:11,880
US TO LOOK MORE CLOSELY INTO THE

533
00:22:11,880 --> 00:22:15,200
JOURNAL. LIKE I SAID, WE DID

534
00:22:15,200 --> 00:22:16,640
RECENTLY RELEASE GUIDANCE ON

535
00:22:16,640 --> 00:22:18,960
THIS. OUR MAIN MECHANISM FOR

536
00:22:18,960 --> 00:22:20,360
COMMUNICATING POLICY UPDATES

537
00:22:20,360 --> 00:22:22,320
THINGS LIKE THIS TO PUBLIC IS

538
00:22:22,320 --> 00:22:25,640
THROUGH THE NLM TECHNICAL

539
00:22:25,640 --> 00:22:27,600
BULLETIN, OUR NEWS LETTER, SURE

540
00:22:27,600 --> 00:22:30,040
YOU SUBSCRIBE TO THIS AND READ

541
00:22:30,040 --> 00:22:31,320
DAILY BUT JUST IN CASE YOU

542
00:22:31,320 --> 00:22:33,120
DON'T, THIS IS WHAT THIS L

543
00:22:33,120 --> 00:22:35,440
BULLETIN IS MEANT TO DO. AND

544
00:22:35,440 --> 00:22:38,000
THIS ARTICLE IN THE BULLETIN

545
00:22:38,000 --> 00:22:39,640
WENT OUT IN MARCH APRIL ISSUE

546
00:22:39,640 --> 00:22:44,480
EARLIER THIS YEAR. AS FAR AS HOW

547
00:22:44,480 --> 00:22:45,760
NLM PROCESSES A CHANGE WHEN

548
00:22:45,760 --> 00:22:48,800
REPORTED TO US, OUR POLICY ALSO

549
00:22:48,800 --> 00:22:50,200
CLARIFYING THAT THE FIRST THING

550
00:22:50,200 --> 00:22:51,800
NLM DOES IS REACH OUT TO THE

551
00:22:51,800 --> 00:22:53,240
JOURNAL FOR MORE INFORMATION. SO

552
00:22:53,240 --> 00:22:55,960
IF A JOURNAL REPORTS TO US A

553
00:22:55,960 --> 00:22:58,000
CHANGE OR IF WE FIND THE CHANGE

554
00:22:58,000 --> 00:23:00,600
IN PUBLICATION VOLUME, FIRST

555
00:23:00,600 --> 00:23:04,760
THING 2002 IS WE SEND THEM A

556
00:23:04,760 --> 00:23:05,560
QUESTIONNAIRE, THAT WILL BE

557
00:23:05,560 --> 00:23:07,080
ASKING EXTENT OF CHANGE AND IF

558
00:23:07,080 --> 00:23:11,360
THERE ARE ACCOMPANYING CHANGES. 

559
00:23:11,360 --> 00:23:13,800
FOR EXAMPLE, IF JOURNAL HAD A

560
00:23:13,800 --> 00:23:16,760
CHANGE IN TITLE, IT IS

561
00:23:16,760 --> 00:23:19,280
COMPLETELY LOGICAL TOLL THINK

562
00:23:19,280 --> 00:23:20,760
THERE'S AIMS IN SCOPE OF JOURNAL

563
00:23:20,760 --> 00:23:22,600
OR EDITORIAL THAT REFLECT THAT

564
00:23:22,600 --> 00:23:24,360
CHANGE IN TITLE SO WE ARE ASKING

565
00:23:24,360 --> 00:23:26,200
SO WE CAN SEE WHAT HAS HAPPENED

566
00:23:26,200 --> 00:23:28,920
AND WHAT ARE THE EXTENT OF THE

567
00:23:28,920 --> 00:23:29,760
CHANGES. ONCE WE GET THAT

568
00:23:29,760 --> 00:23:31,520
INFORMATION WE REVIEW IT

569
00:23:31,520 --> 00:23:33,760
CAREFULLY AND I WOULD SAY LIKE

570
00:23:33,760 --> 00:23:37,080
90% OF THE TIME, ANECDOTALLY

571
00:23:37,080 --> 00:23:39,200
SPEAKING, THERE IS NO ISSUE. WE

572
00:23:39,200 --> 00:23:40,920
FIND THAT THE CHANGE IS NOT THAT

573
00:23:40,920 --> 00:23:42,520
BIG A DEAL, NOT SIGNIFICANT AND

574
00:23:42,520 --> 00:23:44,080
WE SIGN OFF IN THE JOURNAL IS

575
00:23:44,080 --> 00:23:45,840
ALLOWED TO CONTINUE ON IN ITS

576
00:23:45,840 --> 00:23:47,560
RESPECTIVE DATABASE.  HOWEVER,

577
00:23:47,560 --> 00:23:49,760
SOMETIMES WE FIND THESE CHANGES

578
00:23:49,760 --> 00:23:50,920
ARE SIGNIFICANT AND WHAT WE ARE

579
00:23:50,920 --> 00:23:52,800
LOOKING FOR IS TO SEE IF THIS

580
00:23:52,800 --> 00:23:54,640
JOURNAL IS ESSENTIALLY A

581
00:23:54,640 --> 00:23:55,600
COMPLETELY DIFFERENT JOURNAL

582
00:23:55,600 --> 00:23:57,120
THAN JOURNAL WE ONLY NAYLY

583
00:23:57,120 --> 00:23:58,400
SIGNED OFF ON WHEN IT WAS

584
00:23:58,400 --> 00:24:00,400
INCLUDED MANY THE DATABASE IF WE

585
00:24:00,400 --> 00:24:04,320
FIND THE JOURNAL SEEMS TO BE

586
00:24:04,320 --> 00:24:06,480
DIFFERENT FROM PREVIOUSLY, IT'S

587
00:24:06,480 --> 00:24:07,160
YOU COULD GONE APPROXIMATE

588
00:24:07,160 --> 00:24:09,680
SUBSTANTIVE CHANGE WE WILL KEY

589
00:24:09,680 --> 00:24:11,680
FOR RE-EVALUATION. FOR OUR

590
00:24:11,680 --> 00:24:13,280
RE-EVALUATION PROCESS, THIS

591
00:24:13,280 --> 00:24:17,040
FOLLOWS OUR STANDARD APPLICATION

592
00:24:17,040 --> 00:24:18,640
REVIEW PROCESS. WE WILL REACH

593
00:24:18,640 --> 00:24:20,120
OUT TO THE JOURNAL AND NOTIFY

594
00:24:20,120 --> 00:24:21,680
THEY ARE RE-EVALUATE AND WHY AND

595
00:24:21,680 --> 00:24:24,160
WE WILL ASK THEM TO SUBMIT

596
00:24:24,160 --> 00:24:26,040
APPLICATION SO THAT WE CAN HAVE

597
00:24:26,040 --> 00:24:27,240
UP DO DATE INFORMATION ON THE

598
00:24:27,240 --> 00:24:29,120
JOURNAL. FROM THERE IT PROCEEDS

599
00:24:29,120 --> 00:24:30,280
LIKE IF IT WAS A NEW JOURNAL

600
00:24:30,280 --> 00:24:33,680
APPLYING TO THE DATABASE, GO

601
00:24:33,680 --> 00:24:35,160
THROUGH STANDARD REVIEW PROCESS

602
00:24:35,160 --> 00:24:39,560
AND IF MED LINE IT WILL REVIEW

603
00:24:39,560 --> 00:24:40,880
BY LSTRC. SO SOMETHING TO BE

604
00:24:40,880 --> 00:24:42,760
AWARE OF IF YOU ARE ASSIGNED THE

605
00:24:42,760 --> 00:24:44,880
REVIEW A JOURNAL THAT IS A

606
00:24:44,880 --> 00:24:45,800
RE-EVALUATION IT WILL BE NOTED

607
00:24:45,800 --> 00:24:47,240
IN YOUR SCREENING NOTES AND YOU

608
00:24:47,240 --> 00:24:49,120
SHOULD CONSIDER AND REVIEW THE

609
00:24:49,120 --> 00:24:51,080
WAY YOU WOULD ANY OTHER BRAN NEW

610
00:24:51,080 --> 00:24:53,960
APPLICATION TO MED LINE. BUT

611
00:24:53,960 --> 00:24:55,440
JUST SOMETHING SO YOU GUYS HAVE

612
00:24:55,440 --> 00:25:01,320
MORE CONTEXT ON. THE LAST UPDATE

613
00:25:01,320 --> 00:25:04,920
TO GIVE YOU GUYS, DR. HUERTA

614
00:25:04,920 --> 00:25:06,120
ALLUDED TO IN HIS PRESENTATION,

615
00:25:06,120 --> 00:25:07,920
THIS THIS UPDATE TO PUBMED

616
00:25:07,920 --> 00:25:09,680
CENTRAL LANGUAGE POLICY. SO

617
00:25:09,680 --> 00:25:12,320
PUBMED CENTRAL OR PMC HAS

618
00:25:12,320 --> 00:25:14,200
HISTORICALLY BEEN RESTRICTD TO

619
00:25:14,200 --> 00:25:15,480
REVIEWING ONLY JOURNALS

620
00:25:15,480 --> 00:25:19,280
PUBLISHED IN PRIMARILY ENGLISH. 

621
00:25:19,280 --> 00:25:21,400
JUST RECENTLY NLM MADE THE

622
00:25:21,400 --> 00:25:22,920
DECISION TO EXPAND THE LANGUAGE

623
00:25:22,920 --> 00:25:24,520
POLICY TO INCLUDE JOURNALS

624
00:25:24,520 --> 00:25:28,360
PUBLISHED PRIMARILY IN SPANISH. 

625
00:25:28,360 --> 00:25:29,280
THERE IS A LOT OF DIFFERENT

626
00:25:29,280 --> 00:25:30,720
REASONS WHY WE DECIDED TO DO

627
00:25:30,720 --> 00:25:32,880
THIS, COUPLE ARE LISTED HERE.

628
00:25:32,880 --> 00:25:36,680
FOR ONE, WHEN LOOKING AT DATA

629
00:25:36,680 --> 00:25:39,200
FROM PUBMED CENTRAL WE NOTICED

630
00:25:39,200 --> 00:25:41,640
STRIKING GEOGRAPHIC COVERAGE

631
00:25:41,640 --> 00:25:42,800
GAPS FOR WHERE WE HAVE JOURNALS

632
00:25:42,800 --> 00:25:48,000
COMING FROM. WE DIDN'T HAVE A

633
00:25:48,000 --> 00:25:50,280
LOT OF JOURNAL LITERATURE IN PMC

634
00:25:50,280 --> 00:25:51,160
FROM SOUTH AMERICA SO WE WERE

635
00:25:51,160 --> 00:25:53,960
HOPING THAT INCLUDING SPANISH AS

636
00:25:53,960 --> 00:25:55,880
PART OF OUR LANGUAGE POLICY,

637
00:25:55,880 --> 00:25:58,720
WOULD HELP TO ADDRESS THIS. 

638
00:25:58,720 --> 00:26:00,240
ANOTHER IMPORTANT TOPIC IS THAT

639
00:26:00,240 --> 00:26:03,320
SPANISH SPEAKING USERS, THERE

640
00:26:03,320 --> 00:26:04,880
ARE INCREDIBLE NUMBER OF SPANISH

641
00:26:04,880 --> 00:26:05,960
SPEAKING INDIVIDUALS IN H THE

642
00:26:05,960 --> 00:26:09,440
UNITED STATES.  IT IS THE SECOND

643
00:26:09,440 --> 00:26:10,720
MOST SPOKEN LANGUAGE AND WE ARE

644
00:26:10,720 --> 00:26:12,680
NATIONAL LIBRARY OF MEDICINE. WE

645
00:26:12,680 --> 00:26:14,920
HAVE ALSO SEEN SPANISH PRODUCTS

646
00:26:14,920 --> 00:26:16,440
NLM PUTS OUT WE HAVE OTHER

647
00:26:16,440 --> 00:26:17,840
SPANISH PRODUCTS GET A LOT OF

648
00:26:17,840 --> 00:26:19,600
USE. IN FACT SOME GET MORE USE

649
00:26:19,600 --> 00:26:22,360
THAN THE ENGLISH LANGUAGE

650
00:26:22,360 --> 00:26:23,400
COUNTERPARTS. SO WE KNOW THERE

651
00:26:23,400 --> 00:26:25,320
IS A STRONG AUDIENCE FOR THIS

652
00:26:25,320 --> 00:26:27,480
TYPE OF CONTENT. INCLUDING THESE

653
00:26:27,480 --> 00:26:29,320
ARGUES WILL ALSO BE SERVICE O TO

654
00:26:29,320 --> 00:26:31,040
O ARTICLES WILL BE SERVICE TO

655
00:26:31,040 --> 00:26:32,840
OUR USERS. FINAL POINT TO STRESS

656
00:26:32,840 --> 00:26:34,320
IS WE HAVE DONE A LOT OF WORK IN

657
00:26:34,320 --> 00:26:36,560
THE LAST FEW YEARS TO ALIGN PMC

658
00:26:36,560 --> 00:26:39,320
AND MED LINE. THEY HAVE A LOT OF

659
00:26:39,320 --> 00:26:40,680
INTERPLAY WITH EACH OTHER AND A

660
00:26:40,680 --> 00:26:42,000
LOT OF JOURNALS PARTICIPATE IN

661
00:26:42,000 --> 00:26:44,960
BOTH, A LOT OF PUBLISHERS APPLY

662
00:26:44,960 --> 00:26:46,600
TO BOTH. SO WE HAVE REALLY TRIED

663
00:26:46,600 --> 00:26:48,800
TO ALIGN POLICIES SO THEY MAKE

664
00:26:48,800 --> 00:26:51,040
SENSE WITH ONE ANOTHER.  AS YOU

665
00:26:51,040 --> 00:26:53,320
GUYS ARE WELL AWARE, MED LINE

666
00:26:53,320 --> 00:26:54,840
REVIEWS JOURNALS IN ANY LANGUAGE

667
00:26:54,840 --> 00:26:56,680
AS LONG AS THEY HAVE ENGLISH

668
00:26:56,680 --> 00:26:58,960
TITLES AND ABSTRACTS. SO

669
00:26:58,960 --> 00:26:59,760
BROADENING THE LANGUAGE POLICY

670
00:26:59,760 --> 00:27:02,720
FOR PUBMED CENTRAL IS ONE STOP

671
00:27:02,720 --> 00:27:04,800
TOWARDS GETTING THESE POLICIES

672
00:27:04,800 --> 00:27:08,280
INTO CLOSER ALIGNMENT AS WELL. 

673
00:27:08,280 --> 00:27:09,400
SO JUST LIKE WITH THE PREVIOUS

674
00:27:09,400 --> 00:27:11,640
POLICY UPDATE WE PUT THIS OUT IN

675
00:27:11,640 --> 00:27:12,960
NLM TECHNICAL BULLETIN. THIS

676
00:27:12,960 --> 00:27:14,040
WENT OUT IN FEBRUARY OF THIS

677
00:27:14,040 --> 00:27:18,560
YEAR. AND I'M HAPPY TO REPORT WE

678
00:27:18,560 --> 00:27:22,040
HAVE REVIEWED ALMOST 20

679
00:27:22,040 --> 00:27:24,280
APPLICATIONS. AFTER THIS

680
00:27:24,280 --> 00:27:28,120
ANNOUNCEMENT WENT OUT. IT IS TOO

681
00:27:28,120 --> 00:27:29,760
SOON TO COMMENT HOW THIS IS

682
00:27:29,760 --> 00:27:31,800
GOING BUT WE ARE CLOSELY

683
00:27:31,800 --> 00:27:33,080
MONITORING SEVERAL OUTCOMES TO

684
00:27:33,080 --> 00:27:35,120
HELP INFORM OUR NEXT STEPS. SO

685
00:27:35,120 --> 00:27:36,520
SOME OF THE THINGS WE ARE

686
00:27:36,520 --> 00:27:40,120
MONITORING ARE THE SUCCESS RATES

687
00:27:40,120 --> 00:27:41,480
OF THESE JOURNALS.  AS WE

688
00:27:41,480 --> 00:27:42,960
DISCUSSED EARLIER, PUBMED

689
00:27:42,960 --> 00:27:44,720
CENTRAL HAS THE OWN JOURNAL

690
00:27:44,720 --> 00:27:45,960
REVIEW PROCESS WHICH IS QUITE

691
00:27:45,960 --> 00:27:47,720
RIGOROUS SO WE ARE LOOKING TO

692
00:27:47,720 --> 00:27:49,600
SEE HOW THESE JOURNALS ARE

693
00:27:49,600 --> 00:27:51,200
FAIRING COMPARED TO OTHERS.  WE

694
00:27:51,200 --> 00:27:52,960
ARE ALSO GOING TO LOOK AT EFFECT

695
00:27:52,960 --> 00:27:54,080
ON GEOGRAPHIC COVERAGE SO I

696
00:27:54,080 --> 00:27:55,480
MENTIONED THERE IS THE COVERAGE

697
00:27:55,480 --> 00:27:57,120
GAP IN SPECIFIC AREAS OF THE

698
00:27:57,120 --> 00:27:58,240
WORLD AND WE ARE HOPING THIS

699
00:27:58,240 --> 00:28:00,360
WILL ADDRESS THAT. WE ARE ALSO

700
00:28:00,360 --> 00:28:02,560
LOOKING AT THE FEASIBILITY OF

701
00:28:02,560 --> 00:28:05,080
REVIEW. SO OUR REVIEWERS FOR

702
00:28:05,080 --> 00:28:06,560
PUBMED CENTRAL WE ARE CHECKING

703
00:28:06,560 --> 00:28:08,920
WITH THEM TO SEE HOW THEY ARE

704
00:28:08,920 --> 00:28:10,000
DOING BECAUSE THIS IS FIRST TIME

705
00:28:10,000 --> 00:28:12,560
FOR MANY OF THEM REVIEWING

706
00:28:12,560 --> 00:28:13,920
NON-ENGLISH CONTENT AND WE WILL

707
00:28:13,920 --> 00:28:15,560
SEE IF IT MAKES SENSE TO PERHAPS

708
00:28:15,560 --> 00:28:16,680
OPEN THE LANGUAGE GUIDELINES

709
00:28:16,680 --> 00:28:18,440
MORE BROADLY OR IF WE SHOULD

710
00:28:18,440 --> 00:28:19,960
TAKE A DIFFERENT DIRECTION.

711
00:28:19,960 --> 00:28:22,560
USING THE OUTCOMES HERE.  SO I

712
00:28:22,560 --> 00:28:23,800
WILL EPICOO IT SHORT AND SWEET. 

713
00:28:23,800 --> 00:28:28,560
THAT WAS MY UPDATES AND I'M

714
00:28:28,560 --> 00:28:30,040
HAPPY TO TALK ANY QUESTIONS. I

715
00:28:30,040 --> 00:28:33,640
THINK I HAVE TWO MINUTES. 

716
00:28:33,640 --> 00:28:35,080
>> THANK YOU VERY MUCH.
ANY

717
00:28:35,080 --> 00:28:35,840
COMMUNITY MEMBERS HAVE

718
00:28:35,840 --> 00:28:42,840
QUESTIONS? IF NOT I WILL ASK YOU

719
00:28:42,840 --> 00:28:44,320
TO FEEL FREE TO ANSWER YOUR

720
00:28:44,320 --> 00:28:48,240
FAVORITE.  ONE IS REGARDING THAT

721
00:28:48,240 --> 00:28:49,720
LANGUAGE EXPANSION WHAT STEPS

722
00:28:49,720 --> 00:28:51,520
ARE BEING TAKEN TO ENSURE

723
00:28:51,520 --> 00:28:52,600
SPANISH LANGUAGE JOURNALS ARE

724
00:28:52,600 --> 00:28:54,480
BEING EVALUATED CONSISTENT WITH

725
00:28:54,480 --> 00:28:57,880
ENGLISH LANGUAGE JOURNALS,OR?

726
00:28:57,880 --> 00:28:59,200
SECOND PART, IT MAKES SENSE WE

727
00:28:59,200 --> 00:29:00,880
ARE LOOKING AT SPANISH FIRST.

728
00:29:00,880 --> 00:29:02,360
ARE THERE PLANS TO LOOK AT OTHER

729
00:29:02,360 --> 00:29:05,240
LANGUAGES AFTER SPANISH?

730
00:29:05,240 --> 00:29:06,480
>> THOSE ARE GREAT
QUESTIONS. T

731
00:29:06,480 --> 00:29:08,960
SO WE ARE HOLDING THESE JOURNALS

732
00:29:08,960 --> 00:29:10,800
TO THE EXACT STANDARD WE DO TO

733
00:29:10,800 --> 00:29:13,320
THE ENGLISH LANGUAGE JOURNALS.

734
00:29:13,320 --> 00:29:15,960
AS AN INITIAL STEP JUST TO MAKE

735
00:29:15,960 --> 00:29:17,760
SURE TO BE CAREFUL WE DID ON

736
00:29:17,760 --> 00:29:19,800
BOARD SPANISH FLUENT REVIEWERS

737
00:29:19,800 --> 00:29:21,960
SPECIFICALLY TO HELP OUT WITH

738
00:29:21,960 --> 00:29:23,000
THIS REVIEW AND WE HAVE BEEN

739
00:29:23,000 --> 00:29:25,240
CO-PAIRING THEM WITH A

740
00:29:25,240 --> 00:29:26,560
NON-FLUENT REVIEWER NOW AND WE

741
00:29:26,560 --> 00:29:28,160
ARE CHECKING IN WITH THE

742
00:29:28,160 --> 00:29:29,600
NON-FLUENT REVIEWER TO SEE HOW

743
00:29:29,600 --> 00:29:31,440
THEY ARE DOING AND COMPARING THE

744
00:29:31,440 --> 00:29:33,360
TWO REVIEWS. ONCE UPON A TIME,

745
00:29:33,360 --> 00:29:34,240
IT WOULD HAVE BEEN MUCH MORE

746
00:29:34,240 --> 00:29:35,840
DIFFICULT TO DO THIS BUT IN THE

747
00:29:35,840 --> 00:29:37,480
SAME AGE AS YOU GUYS KNOW WE

748
00:29:37,480 --> 00:29:39,040
HAVE MANY TRANSLATION TOOLS, SO

749
00:29:39,040 --> 00:29:40,960
WE ARE LOOKING HOW THOSE CAN BE

750
00:29:40,960 --> 00:29:44,600
USED TO FAIRLY EVALUATE THE

751
00:29:44,600 --> 00:29:46,400
SCIENTIFIC QUALITY OF THESE

752
00:29:46,400 --> 00:29:47,960
ARTICLES. ONE LIMITATION I THINK

753
00:29:47,960 --> 00:29:49,520
WE MIGHT RUN INTO, THIS IS

754
00:29:49,520 --> 00:29:51,080
SOMETHING WE ARE AGAIN CHECKING

755
00:29:51,080 --> 00:29:54,120
WITH OUR REVIEWERS ON IS THAT

756
00:29:54,120 --> 00:29:55,360
TRANSLATION TOOLS WORK WELL I

757
00:29:55,360 --> 00:29:57,560
THINK WITH LIKE SPANISH, FRENCH,

758
00:29:57,560 --> 00:29:59,040
LATIN BASED LANGUAGES. WE TEND

759
00:29:59,040 --> 00:30:00,360
TO HAVE MORE ISSUE WHEN TRYING

760
00:30:00,360 --> 00:30:03,800
TO TRANSLATE OTHER LANGUAGES

761
00:30:03,800 --> 00:30:06,480
PARTICULARLY ONES WRITTEN IN THE

762
00:30:06,480 --> 00:30:08,000
OPPOSITE DIRECTION OR HAVE

763
00:30:08,000 --> 00:30:09,440
CHARACTERISTICS LIKE SOMETHING

764
00:30:09,440 --> 00:30:11,040
LIKE CHINESE AND MANDARIN. THEY

765
00:30:11,040 --> 00:30:12,480
DON'T TRANSLATE AS WELL SO THAT

766
00:30:12,480 --> 00:30:14,280
MIGHT BE A LIMITATION FOR US BUT

767
00:30:14,280 --> 00:30:16,000
WE ARE THINKING THAT IT MIGHT

768
00:30:16,000 --> 00:30:18,160
MAKE SENSE TO START OPENING UP

769
00:30:18,160 --> 00:30:19,800
TO OTHER LANGUAGES THAT ARE

770
00:30:19,800 --> 00:30:24,040
FEASIBLE FOR US TO REVIEW.

771
00:30:24,040 --> 00:30:25,520
>> I WOULD LIKE TO ADD,
THE

772
00:30:25,520 --> 00:30:26,440
OTHER THING WE ARE THINKING

773
00:30:26,440 --> 00:30:28,760
ABOUT AS WELL IS HOW IS THIS

774
00:30:28,760 --> 00:30:29,960
LANGUAGE SEARCHING IN OUR

775
00:30:29,960 --> 00:30:33,520
CURRENT SYSTEM? SO IF WE DO ADD

776
00:30:33,520 --> 00:30:38,000
-- IF YOU SEARCH IN PMC ON CASA

777
00:30:38,000 --> 00:30:39,760
IS IT MAPPING TO HOUSE OR

778
00:30:39,760 --> 00:30:41,120
SOMETHING TO THAT EFFECT. ARE WE

779
00:30:41,120 --> 00:30:43,440
COVERING BOTH ASPECTS OF IT AND

780
00:30:43,440 --> 00:30:45,240
HOW DO WE INTRODUCE OTHER

781
00:30:45,240 --> 00:30:50,280
LANGUAGES AND SEARCHING IN OUR

782
00:30:50,280 --> 00:30:51,480
CUBS SYSTEM SO A LITTLE MORE

783
00:30:51,480 --> 00:30:56,120
THAN THE REVIEW PROCESS, WE A

784
00:30:56,120 --> 00:30:57,280
ALSO THINKING THINKING HOW THEY

785
00:30:57,280 --> 00:31:00,760
ARE FINDSABLE BY USERS PROPERLY 

786
00:31:00,760 --> 00:31:04,160
>> THIS SOUNDS LIKE A VERY

787
00:31:04,160 --> 00:31:07,600
COMPLEX TASK AT HAND OF WHAT IS

788
00:31:07,600 --> 00:31:11,680
BEING DONE. SO THIS SOUNDS

789
00:31:11,680 --> 00:31:13,960
WONDERFUL AND GREAT STEPS

790
00:31:13,960 --> 00:31:15,640
FORWARD, EXCITED TO SEE WHAT THE

791
00:31:15,640 --> 00:31:21,720
FUTURE HOLDS IN THAT AREA.

792
00:31:21,720 --> 00:31:22,800
LAUREN, THANK YOU SO MUCH FOR

793
00:31:22,800 --> 00:31:26,800
THAT UPDATE. WE NOW HAVE TIME

794
00:31:26,800 --> 00:31:29,760
FOR DIANNE BABSKI WHO IS THE

795
00:31:29,760 --> 00:31:32,680
ASSOCIATE DIRECTOR FOR LIBRARY

796
00:31:32,680 --> 00:31:33,720
OPERATIONS, THE LSTRC SCIENTIFIC

797
00:31:33,720 --> 00:31:36,200
REVIEW ADMINISTRATOR NATIONAL

798
00:31:36,200 --> 00:31:37,680
LIBRARY OF MEDICINE. SHE IS

799
00:31:37,680 --> 00:31:41,120
GOING TO BE TALKING WITH US

800
00:31:41,120 --> 00:31:44,600
ABOUT AI, SPECIFICALLY ASKED HER

801
00:31:44,600 --> 00:31:46,040
A QUESTION ABOUT CHATGPT SO I'M

802
00:31:46,040 --> 00:31:47,800
VERY EXCITED TO HEAR WHAT SHE

803
00:31:47,800 --> 00:31:50,400
HAS FOR US THIS AFTERNOON. 

804
00:31:50,400 --> 00:31:55,080
DIANNE, TAKE IT AWAY.

805
00:31:55,080 --> 00:32:02,240
>> DIANNE, I'M SORRY TO

806
00:32:02,240 --> 00:32:03,240
INTERRUPT, APPEARS YOU ARE ON

807
00:32:03,240 --> 00:32:11,560
MUTE. 

808
00:32:11,560 --> 00:32:15,560
>> HOW IS THAT?

809
00:32:15,560 --> 00:32:16,920
>> THAT IS GREAT.

810
00:32:16,920 --> 00:32:19,800
>> OKAY. DO YOU SEE MY
SLIDES?

811
00:32:19,800 --> 00:32:22,440
>> YES.

812
00:32:22,440 --> 00:32:28,160
>> FANTASTIC. LET ME MOVE
THIS

813
00:32:28,160 --> 00:32:34,800
OVER HERE. SO THANK YOU,

814
00:32:34,800 --> 00:32:36,920
EVERYBODY. AS KELLY STATED, I'M

815
00:32:36,920 --> 00:32:39,280
DIANNE BABSKI, EXECUTIVE

816
00:32:39,280 --> 00:32:40,760
DIRECTOR FOR OPERATION, AS MIKE

817
00:32:40,760 --> 00:32:42,360
MENTIONED EARLIER I HAD BEEN ON

818
00:32:42,360 --> 00:32:46,480
THE TOP CIRCUIT WITH MY GEN AI

819
00:32:46,480 --> 00:32:48,080
SLIDES, THE BEST BANG FOR MY

820
00:32:48,080 --> 00:32:50,000
BUCK THAT I INVESTED IN A SLIDE

821
00:32:50,000 --> 00:32:54,680
DECK EVER IN MY CAREER I THINK.

822
00:32:54,680 --> 00:32:59,000
BUT IT IS VERY (INAUDIBLE) SLIDE

823
00:32:59,000 --> 00:33:01,000
DECK BECAUSE THE AI LANDSCAPE IS

824
00:33:01,000 --> 00:33:03,080
SHIFTING SO RAPIDLY AND EVERY

825
00:33:03,080 --> 00:33:05,160
DAY THERE SEEMS TO BE ARTICLES

826
00:33:05,160 --> 00:33:07,720
EITHER TOUTING THE POSSIBILITIES

827
00:33:07,720 --> 00:33:10,200
AND -- OF THIS TECHNOLOGY OR THE

828
00:33:10,200 --> 00:33:12,280
END OF CIVILIZATION AS WE KNOW

829
00:33:12,280 --> 00:33:13,400
IT AND THEN EVERYTHING IN

830
00:33:13,400 --> 00:33:17,400
BETWEEN THERE. THIS TECHNOLOGY

831
00:33:17,400 --> 00:33:20,080
GEN AI HAS GAINED POPULARITY

832
00:33:20,080 --> 00:33:22,200
SINCE DECEMBER OF LAST YEARS

833
00:33:22,200 --> 00:33:24,200
BECAUSE OF ITS HUMAN LIKE

834
00:33:24,200 --> 00:33:26,600
CONVERSATIONAL LANGUAGE

835
00:33:26,600 --> 00:33:28,640
ABILITIES, ITS EASE OF ACCESS

836
00:33:28,640 --> 00:33:31,920
YOU DONE HAVE TO KNOW SYNTAX OR

837
00:33:31,920 --> 00:33:33,600
LANGUAGE. IT IS BROAD

838
00:33:33,600 --> 00:33:35,280
VERSATILITY. IT CAN RECALL AND

839
00:33:35,280 --> 00:33:37,480
BUILD ON VAST AMOUNTS OF TEXT,

840
00:33:37,480 --> 00:33:41,960
IT CAN SYNTHESIZE LARGE DATA

841
00:33:41,960 --> 00:33:45,080
SETS, EVEN GENERATE IMAGERY OF

842
00:33:45,080 --> 00:33:47,040
ARTS AND MUSIC, THESE ARE BASED

843
00:33:47,040 --> 00:33:48,160
ON CONVERSATIONAL PROMPTS THAT

844
00:33:48,160 --> 00:33:50,760
ARE ITERATIVE AS WEL WELL. SO IS

845
00:33:50,760 --> 00:33:52,400
AN INTERESTING SET OF

846
00:33:52,400 --> 00:33:53,720
TECHNOLOGIES TO TRY OUT IF YOU

847
00:33:53,720 --> 00:33:57,160
HAVEN'T DONE THAT ALREADY. MANY

848
00:33:57,160 --> 00:33:59,120
OF US AT NLM ARE EXPERIMENTING

849
00:33:59,120 --> 00:34:02,440
AND FINDING THESE VERY

850
00:34:02,440 --> 00:34:03,640
FASCINATING -- SOME OF THE

851
00:34:03,640 --> 00:34:07,440
RESULTS, VERY HELPFUL. I USE IT

852
00:34:07,440 --> 00:34:11,280
QUITE OFTEN FOR ACTUALLY LOOKING

853
00:34:11,280 --> 00:34:12,920
AT SOME OF THE RETURN ON WHAT IT

854
00:34:12,920 --> 00:34:16,600
BRINGS IN FOR QUESTIONS FOR NLM 

855
00:34:16,600 --> 00:34:18,280
SO LET'S START WITH SOME BASIC

856
00:34:18,280 --> 00:34:22,360
DEFINITIONS HERE. A CHAT BOT IS

857
00:34:22,360 --> 00:34:24,200
A TOOL DRIVEN BY ARTIFICIAL

858
00:34:24,200 --> 00:34:26,160
INTELLIGENCE AUTOMATED RULES,

859
00:34:26,160 --> 00:34:26,840
NATURAL LANGUAGE PROCESSING AND

860
00:34:26,840 --> 00:34:29,080
MACHINE LEARNING TO PROCESS DATA

861
00:34:29,080 --> 00:34:32,120
TO DELIVER RESPONSES TO REQUESTS

862
00:34:32,120 --> 00:34:35,080
OF ALL KIND KINDS. ARTIFICIAL

863
00:34:35,080 --> 00:34:36,320
INTELLIGENCE BROADLY REFERS TO

864
00:34:36,320 --> 00:34:39,440
THE IDEA OF COMPUTERS THAT CAN

865
00:34:39,440 --> 00:34:41,360
LEARN AND MAKE DECISIONS IN A

866
00:34:41,360 --> 00:34:43,920
HUMAN LIKE WAY. A COMMON TYPE OF

867
00:34:43,920 --> 00:34:46,560
GENERATIVE AI GEN AI AS I REFER

868
00:34:46,560 --> 00:34:48,600
OUT IS THE LARGE LANGUAGE MODELS

869
00:34:48,600 --> 00:34:51,840
OR LLMs AND THOSE CAN

870
00:34:51,840 --> 00:34:53,240
RECOGNIZE SUMMARIZE TRANSLATE

871
00:34:53,240 --> 00:34:55,480
PREDICT AND GENERATE TEXT AND

872
00:34:55,480 --> 00:34:57,280
OTHER CONTENT BASED ON KNOWLEDGE

873
00:34:57,280 --> 00:34:59,560
GAINS FROM THESE MASSIVE DATA

874
00:34:59,560 --> 00:35:01,280
SETS AND SCRAPING ACROSS

875
00:35:01,280 --> 00:35:06,800
MILLIONS OF WEB PAGES AND WEB

876
00:35:06,800 --> 00:35:08,400
URLs. MOST PEOPLE ARE TALKING

877
00:35:08,400 --> 00:35:11,440
ABOUT CHATGPT BUT THERE IS A

878
00:35:11,440 --> 00:35:14,800
LOTS OF DIFFERENT BOTS OUT

879
00:35:14,800 --> 00:35:17,320
THERE. THIS IS JUST A HANDFUL.

880
00:35:17,320 --> 00:35:19,240
THIS IS NOT GOING AWAY. THIS IS

881
00:35:19,240 --> 00:35:21,480
NOT A PASSING FAD. THIS

882
00:35:21,480 --> 00:35:25,120
TECHNOLOGY IS HERE AND SO WHAT I

883
00:35:25,120 --> 00:35:28,120
WILL FINISH WITH IS YOU -- WHAT

884
00:35:28,120 --> 00:35:32,520
ARE WE DOING IN THIS ARENA, THIS

885
00:35:32,520 --> 00:35:34,520
RESEARCH LANDSCAPE. VERY

886
00:35:34,520 --> 00:35:36,960
QUICKLY, THIS DIAGRAM CONVEY

887
00:35:36,960 --> 00:35:39,280
HOBBIES MODELS WORK AT SCALE. ON

888
00:35:39,280 --> 00:35:40,640
THE LEFT SIDE YOU WILL SEE

889
00:35:40,640 --> 00:35:42,040
DIFFERENT TYPES OF FORMATS OF

890
00:35:42,040 --> 00:35:43,960
INFORMATION THAT ARE ENTERED.

891
00:35:43,960 --> 00:35:47,080
BEYOND LANGUAGE TO INCLUDE

892
00:35:47,080 --> 00:35:48,760
AUDIO-VISUAL AND OTHER FORMS OF

893
00:35:48,760 --> 00:35:50,560
SIGNALS LIKE 3-D SIGNALS.  THESE

894
00:35:50,560 --> 00:35:52,400
MODELS IN THE MIDDLE COMPLETE A

895
00:35:52,400 --> 00:35:53,840
VARIETY OF TASKS THAT YOU SEE ON

896
00:35:53,840 --> 00:35:57,480
THE RIGHT SUCH AS GENERAL

897
00:35:57,480 --> 00:35:58,720
GENERATING A COMPUTER CODE WHICH

898
00:35:58,720 --> 00:36:02,320
IS ONE OUR USE CASES, GENERATING

899
00:36:02,320 --> 00:36:03,560
SAs, FAIR WELL HOMES O OTHER

900
00:36:03,560 --> 00:36:04,760
THINGS, APPLY FOR INFORMATION

901
00:36:04,760 --> 00:36:07,000
THAT HAD BEEN LEARNED IN

902
00:36:07,000 --> 00:36:09,320
PREVIOUS SITUATIONS. HOWEVER, I

903
00:36:09,320 --> 00:36:11,760
DO WANT TO POINT HERE DOWN TO

904
00:36:11,760 --> 00:36:12,960
THE BOTTOM. THIS IS SOMETHING

905
00:36:12,960 --> 00:36:16,040
THAT I CONSTANTLY POINT OUT TO

906
00:36:16,040 --> 00:36:16,920
PEOPLE, THAT YOU SHOULD KNOW

907
00:36:16,920 --> 00:36:19,920
BEFORE YOU GO. TWO THINGS. FIRST

908
00:36:19,920 --> 00:36:22,840
ANYTHING THAT YOU PUT INTO THESE

909
00:36:22,840 --> 00:36:24,800
MODELS, IF YOU ARE NOT IN A

910
00:36:24,800 --> 00:36:25,680
PRIVATE VERSION OR IF YOU

911
00:36:25,680 --> 00:36:29,720
HAVEN'T OPTED OUT, THEY BECOME

912
00:36:29,720 --> 00:36:32,240
PART OF THE LEARNING ALGORITHM,

913
00:36:32,240 --> 00:36:33,440
PART OF THE PROPERTY OF THE AI

914
00:36:33,440 --> 00:36:35,120
SYSTEM IF YOU WILL. SO REALLY

915
00:36:35,120 --> 00:36:37,160
HAVE TO BE CAREFUL ABOUT

916
00:36:37,160 --> 00:36:39,760
PRIVACY, ENTERING ANY PII,

917
00:36:39,760 --> 00:36:40,880
PATIENT DATA, I SHOULDN'T HAVE

918
00:36:40,880 --> 00:36:43,880
TO SAY THAT OUTLOUD BUT I DO

919
00:36:43,880 --> 00:36:47,000
ANYWAY BECAUSE YOU NEVER KNOW. 

920
00:36:47,000 --> 00:36:50,160
SO LET'S MOVE ON HERE. SO THESE

921
00:36:50,160 --> 00:36:53,760
ARE JUST A FEW WAYS THAT WE ARE

922
00:36:53,760 --> 00:36:56,720
THINKING ABOUT GENERATIVE AI IN

923
00:36:56,720 --> 00:36:58,840
THE SCIENTIFIC AND THE RESEARCH

924
00:36:58,840 --> 00:37:00,840
LANDSCAPE. FOR ONE, ITS ABILITY

925
00:37:00,840 --> 00:37:03,280
TO ANALYZE LARGE AND COMPLEX

926
00:37:03,280 --> 00:37:05,960
DATA SETS IN ARPA-H IS REALLY

927
00:37:05,960 --> 00:37:10,440
THINKING HOW THEY CAN HARNESS

928
00:37:10,440 --> 00:37:13,120
THIS POWER AS WELL. ANOTHER GOOD

929
00:37:13,120 --> 00:37:15,160
THING I HAVE HEARD ABOUT FROM

930
00:37:15,160 --> 00:37:18,560
SOME OF THE DRUG DEVELOPERS IS

931
00:37:18,560 --> 00:37:20,000
THAT ITS ABILITY TO RECOGNIZE

932
00:37:20,000 --> 00:37:21,840
NEW CHEMICAL SYNTHESIS ROUTES

933
00:37:21,840 --> 00:37:23,880
THAT ARE EXPONENTIALLY FASTER

934
00:37:23,880 --> 00:37:26,440
THAN HUMANS, SO THEY ARE REALLY

935
00:37:26,440 --> 00:37:29,160
THINKING HOW THESE MODELS CAN

936
00:37:29,160 --> 00:37:30,520
HELP DETECT NEW OPPORTUNITIES

937
00:37:30,520 --> 00:37:33,760
FOR DRUGS AND OTHER MATERIALS.

938
00:37:33,760 --> 00:37:35,800
YOU CAN SEE SOME OF THESE OTHERS

939
00:37:35,800 --> 00:37:37,400
IDEAS, I DO WANT TO DRAW YOUR

940
00:37:37,400 --> 00:37:38,720
ATTENTION DOWN TO THE BOTTOM

941
00:37:38,720 --> 00:37:39,480
BULLET BECAUSE THIS IS ONE WE

942
00:37:39,480 --> 00:37:41,400
HAVE BEEN TALKING ABOUT WITH

943
00:37:41,400 --> 00:37:45,960
SOME PUBLISHERS AND OTHER

944
00:37:45,960 --> 00:37:48,480
COMMUNICATIONS GROUPS, IT IS A

945
00:37:48,480 --> 00:37:50,040
TOOL THAT YOU CAN USE TO SEE THE

946
00:37:50,040 --> 00:37:52,120
PEER REVIEW PROCESS OR CREATE

947
00:37:52,120 --> 00:37:55,840
EASIER TO READS SUMMARIES OR

948
00:37:55,840 --> 00:37:57,760
LANGUAGE APPROPRIATE SUMMARIES

949
00:37:57,760 --> 00:37:58,360
OF SOME OF THE INFORMATION YOU

950
00:37:58,360 --> 00:38:00,520
HAVE OUT THERE. SO VERY

951
00:38:00,520 --> 00:38:01,440
INTERESTING THOUGHTS GOING ON

952
00:38:01,440 --> 00:38:05,080
WITH THIS. I WILL GO THROUGH A

953
00:38:05,080 --> 00:38:06,320
COUPLE OF USE CASES BECAUSE I

954
00:38:06,320 --> 00:38:09,280
THIS I THIS HELPS TO WRAP YOUR

955
00:38:09,280 --> 00:38:13,200
BRAIN AROUND DIFFERENT USES.

956
00:38:13,200 --> 00:38:17,120
STANFORD UNIVERSITY CREATED NLM

957
00:38:17,120 --> 00:38:19,440
AND IT IS A DOMAIN SPECIFIC

958
00:38:19,440 --> 00:38:23,040
LARGE LANGUAGE MODEL THAT USES

959
00:38:23,040 --> 00:38:26,400
THE DATA BEHIND PMC AND PUBMED.

960
00:38:26,400 --> 00:38:28,360
AND THEY USED IT TO ASSIST

961
00:38:28,360 --> 00:38:29,760
RESEARCHERS AND HEALTHCARE

962
00:38:29,760 --> 00:38:30,920
PROFESSIONALS IN CREATING

963
00:38:30,920 --> 00:38:33,320
SOLUTIONS AND SOLVING COMPLEX

964
00:38:33,320 --> 00:38:34,240
MEDICAL QUESTIONS FROM VAST

965
00:38:34,240 --> 00:38:35,720
AMOUNTS OF BIOMEDICAL ARTICLES

966
00:38:35,720 --> 00:38:38,720
AS I STATED IN OUR RESOURCES SO

967
00:38:38,720 --> 00:38:41,920
THEY PUT IT TO THE TEST BY

968
00:38:41,920 --> 00:38:43,360
ANSWERING COMPLEX CASE REPORT

969
00:38:43,360 --> 00:38:45,920
TYPE OF MEDICAL SCHOOL BOARD

970
00:38:45,920 --> 00:38:47,520
QUESTIONS AT AN IMPRESSIVE RATE

971
00:38:47,520 --> 00:38:49,640
OF SUCCESS THAT YOU CAN SEE HERE

972
00:38:49,640 --> 00:38:54,440
BY 82% ACCURACY. SO IT DOES MAKE

973
00:38:54,440 --> 00:38:57,200
IT A COMPELLING CASE, COULD IT

974
00:38:57,200 --> 00:39:01,560
BE USED AS A ENCATIONAL TOOL

975
00:39:01,560 --> 00:39:03,000
BECAUSE OF THE THAT ITERATIVE

976
00:39:03,000 --> 00:39:04,800
PROMPTING CAPABILITY. ANOTHER

977
00:39:04,800 --> 00:39:10,440
USE CASE, SCIENTIFIC WRITING. SO

978
00:39:10,440 --> 00:39:11,640
I KNOW MY CONVERSATIONS WITH

979
00:39:11,640 --> 00:39:12,720
PEOPLE RESEARCHERS ARE ALREADY

980
00:39:12,720 --> 00:39:16,960
USING THIS TECHNOLOGY TO DRAFT

981
00:39:16,960 --> 00:39:17,880
ARTICLES AND ABOUT ADVANTAGES

982
00:39:17,880 --> 00:39:19,000
SUMMARIZE DATA AND GET

983
00:39:19,000 --> 00:39:21,320
SUGGESTIONS FOR REFERENCES WHICH

984
00:39:21,320 --> 00:39:25,560
IF YOU HAVE SEEN SOME OF THE

985
00:39:25,560 --> 00:39:27,040
ARTICLES OUT THERE, THERE'S

986
00:39:27,040 --> 00:39:28,520
THESE THINGS CALLED

987
00:39:28,520 --> 00:39:30,040
HALLUCINATIONS WHERE THEY JUST

988
00:39:30,040 --> 00:39:32,600
MAKE STUFF UP SO I ALWAYS TELL

989
00:39:32,600 --> 00:39:34,200
PEOPLE USE BY VERIFY IF YOU ARE

990
00:39:34,200 --> 00:39:37,800
GOING TO WORK IN THIS

991
00:39:37,800 --> 00:39:41,840
TECHNOLOGY. SO A RECENT STUDY

992
00:39:41,840 --> 00:39:43,360
SHOWN HERE IS THEY HAD SOME

993
00:39:43,360 --> 00:39:45,080
REVIEWERS THAT WERE LOOKING AT

994
00:39:45,080 --> 00:39:46,960
TWO SETS OF ABSTRACTS. ONE

995
00:39:46,960 --> 00:39:48,640
CREATED BY THE AUTHOR, THE

996
00:39:48,640 --> 00:39:51,800
ORIGINAL. AND ANOTHER ONE WAS

997
00:39:51,800 --> 00:39:54,760
CREATED BY AI GENERATED

998
00:39:54,760 --> 00:39:56,480
ABSTRACT.  THEY FOUND THIS GROUP

999
00:39:56,480 --> 00:40:00,560
OF REVIEWERS FOUND IT VERY

1000
00:40:00,560 --> 00:40:01,560
DIFFICULT TO TELL THE DIFFERENCE

1001
00:40:01,560 --> 00:40:02,640
BETWEEN THE ORIGINAL AND

1002
00:40:02,640 --> 00:40:04,440
GENERATED VERSIONS OF THE

1003
00:40:04,440 --> 00:40:05,320
ABSTRACTS AND SOME COMMENTED

1004
00:40:05,320 --> 00:40:08,360
THAT THEY ACTUALLY PREFERRED THE

1005
00:40:08,360 --> 00:40:12,360
GENERATED ONE BETTER. IS IT A

1006
00:40:12,360 --> 00:40:15,560
WAY WE CAN ACTUALLY HARNESS THIS

1007
00:40:15,560 --> 00:40:16,880
TECHNOLOGY TO MAKE TIME FOR

1008
00:40:16,880 --> 00:40:17,760
SOMETHING ELSE IF YOU DON'T HAVE

1009
00:40:17,760 --> 00:40:22,320
TO WRITE YOUR OWN ABSTRACT. 

1010
00:40:22,320 --> 00:40:23,840
LET'S MOVE TO ANOTHER ONE THAT

1011
00:40:23,840 --> 00:40:25,840
WILL MAKE YOU RAISE SOME EYE

1012
00:40:25,840 --> 00:40:27,480
BROWS IN A FEW MINUTES. SO

1013
00:40:27,480 --> 00:40:29,160
ANOTHER USE CASE IS RADIOLOGY.

1014
00:40:29,160 --> 00:40:33,520
IN THIS PAPER IT STATES

1015
00:40:33,520 --> 00:40:38,800
RADIOLOGISTS ARE USING GPT FOR

1016
00:40:38,800 --> 00:40:40,440
GENERATION, EDUCATIONAL SUPPORT,

1017
00:40:40,440 --> 00:40:41,560
CLINICAL DECISION SUPPORT,

1018
00:40:41,560 --> 00:40:43,040
PATIENT COMMUNICATIONS AND OTHER

1019
00:40:43,040 --> 00:40:45,240
DATA ANALYSIS. AND THEY SAY THAT

1020
00:40:45,240 --> 00:40:48,080
AI HAS POTENTIAL TO IMPROVE THE

1021
00:40:48,080 --> 00:40:51,880
ACCURACY AND EFFICIENCY OF --

1022
00:40:51,880 --> 00:40:53,760
EXCUSE ME MY PHONE SEEMS TO BE

1023
00:40:53,760 --> 00:40:54,680
RINGING. HAVEN'T SEEN THAT IN A

1024
00:40:54,680 --> 00:40:58,080
WHILE. IT HAS THE POTENTIAL TO

1025
00:40:58,080 --> 00:40:59,640
IMPROVE THE ACCURACY AND

1026
00:40:59,640 --> 00:41:01,600
EFFICIENCY OF MEDICAL IMAGING

1027
00:41:01,600 --> 00:41:04,040
ANALYSIS AS WELL AS ASSIST

1028
00:41:04,040 --> 00:41:08,640
RADIOLOGISTS IN THE DIAGNOSTIC

1029
00:41:08,640 --> 00:41:14,800
PROCESS. SO MOVING ON. IS MY

1030
00:41:14,800 --> 00:41:17,040
BIAS AND INTERPRETABILITY IN

1031
00:41:17,040 --> 00:41:20,680
RADIOLOGY. SO LET'S TAKE A LOOK

1032
00:41:20,680 --> 00:41:23,560
AT THIS RADIOLOGY USE CASE. SO

1033
00:41:23,560 --> 00:41:25,040
DEEP IN THEIR OWN NETWORKS WE

1034
00:41:25,040 --> 00:41:28,120
ARE TRAINED USING IMAGES OF SKIN

1035
00:41:28,120 --> 00:41:31,120
LESIONS. AND THEY CLASSIFIED

1036
00:41:31,120 --> 00:41:32,600
MALIGNANT VERSUS BENIGN

1037
00:41:32,600 --> 00:41:34,120
MELANOMAS WITH A HIGH DEGREE OF

1038
00:41:34,120 --> 00:41:36,560
ACCURACY. HOWEVER, IT WAS LATER

1039
00:41:36,560 --> 00:41:39,000
FOUND THAT THESE IMAGES OF THE

1040
00:41:39,000 --> 00:41:42,640
LESIONS THAT INCLUDED RULERS IN

1041
00:41:42,640 --> 00:41:45,520
THE WERE CLASSIFIED ASTHMA

1042
00:41:45,520 --> 00:41:47,360
ANYTHING LANT BECAUSE THE MODEL

1043
00:41:47,360 --> 00:41:49,840
LEARNED THAT WHEN A RULER

1044
00:41:49,840 --> 00:41:51,160
INCLUDED MISDEMEANOR THE IMAGE

1045
00:41:51,160 --> 00:41:53,600
THE LESION WAS MORE LIKELY TO BE

1046
00:41:53,600 --> 00:41:55,680
MALIGNANT. SO THIS BIAS WAS

1047
00:41:55,680 --> 00:41:57,200
INTRODUCED BECAUSE RULERS WERE

1048
00:41:57,200 --> 00:42:00,280
INCLUDED IN THE IMAGES WHERE THE

1049
00:42:00,280 --> 00:42:01,160
CLINICIAN ALREADY THOUGHT THE

1050
00:42:01,160 --> 00:42:04,680
LESION WAS MORE LIKELY TO BE

1051
00:42:04,680 --> 00:42:06,320
MALIGNANT. IF RULERS WERE NOT

1052
00:42:06,320 --> 00:42:07,480
DETECTED THE MODEL WOULD HAVE

1053
00:42:07,480 --> 00:42:09,160
HAD A HIGH FALSE NEGATIVE RATE

1054
00:42:09,160 --> 00:42:12,960
FOR THE NEW IMAGES. SO THIS IS A

1055
00:42:12,960 --> 00:42:14,600
REALLY CLEAR STAND OUT EXAMPLE

1056
00:42:14,600 --> 00:42:18,600
HOW HUMAN EXPERTISE MUST

1057
00:42:18,600 --> 00:42:20,440
INTERVENE BEFORE ANY DIAGNOSIS

1058
00:42:20,440 --> 00:42:22,120
MADE OR TREATMENTS PRESCRIBED

1059
00:42:22,120 --> 00:42:24,240
AGAIN USE BY VERIFY AND ALWAYS

1060
00:42:24,240 --> 00:42:27,280
HUMAN INTERVENTION IN THERE. 

1061
00:42:27,280 --> 00:42:30,160
WHICH LEADS TO MY NEXT TOPIC

1062
00:42:30,160 --> 00:42:31,280
WHICH IS SOME OF THE

1063
00:42:31,280 --> 00:42:32,920
LIMITATIONS.  MY APOLOGIES. WENT

1064
00:42:32,920 --> 00:42:35,800
TOO QUICKLY. SOME OF THE

1065
00:42:35,800 --> 00:42:38,440
LIMITATIONS IN USING GENERATIVE

1066
00:42:38,440 --> 00:42:41,960
AI TECHNOLOGY. I ACTUALLY ASKED

1067
00:42:41,960 --> 00:42:44,800
I THINK IT WAS CHATGPT FOR THIS

1068
00:42:44,800 --> 00:42:46,560
LIST. WHAT ARE SOME OF THE

1069
00:42:46,560 --> 00:42:50,400
LIMITATIONS, IT CREATED A VERY

1070
00:42:50,400 --> 00:42:54,200
GOOD LIST WE ARE THINKING HERE.

1071
00:42:54,200 --> 00:42:55,920
ACT SCRAY SIRE LIABILITY,

1072
00:42:55,920 --> 00:42:58,440
REPRODUCIBILITY. I WANT YOU TO

1073
00:42:58,440 --> 00:43:00,080
FOCUS ON NUMBER 3, IMPORTANT FOR

1074
00:43:00,080 --> 00:43:03,720
THIS GROUP, BECAUSE THE

1075
00:43:03,720 --> 00:43:04,800
INTERNATIONAL COMMITTEE OF

1076
00:43:04,800 --> 00:43:08,680
MEDICAL JOURNAL EDITORS, SO

1077
00:43:08,680 --> 00:43:10,520
ICMJE, YOU HER OF THEM BEFORE,

1078
00:43:10,520 --> 00:43:11,880
THEY RELEASED UPDATE TO THEIR

1079
00:43:11,880 --> 00:43:14,120
RECOMMENDATIONS CONCERNING AII.

1080
00:43:14,120 --> 00:43:16,720
THAT SPECIFIES THAT AUTHORS

1081
00:43:16,720 --> 00:43:19,240
SHOULD NOT LIST AI AND AI

1082
00:43:19,240 --> 00:43:20,560
ASSISTED TECHNOLOGIES PASS

1083
00:43:20,560 --> 00:43:23,400
AUTHOR OR CO-AUTHOR NOR A SITE

1084
00:43:23,400 --> 00:43:26,600
AI AS AN AUTHOR. SO I THINK IN

1085
00:43:26,600 --> 00:43:29,680
OUR LAST MEETING IN FEBRUARY I

1086
00:43:29,680 --> 00:43:31,240
MENTIONED THERE WERE SEVERAL

1087
00:43:31,240 --> 00:43:32,800
INSTANCES OF AUTHORS LISTED IN

1088
00:43:32,800 --> 00:43:35,120
PUBMED AND I'M VERY HAPPY TO

1089
00:43:35,120 --> 00:43:39,440
REPORT THAT THOSE WERE CORRECTED

1090
00:43:39,440 --> 00:43:42,640
AND THOSE WERE RELIVED AS OFFERS

1091
00:43:42,640 --> 00:43:46,200
IN PUBMED SO PUBLISHING INDUSTRY

1092
00:43:46,200 --> 00:43:47,760
IS SELF-CORRECTING. LET'S PUT IT

1093
00:43:47,760 --> 00:43:55,400
THAT WAY. SO IN MY TALKS ABOUT

1094
00:43:55,400 --> 00:43:59,200
TOWN Z I DID TALK TO -- I PUT A

1095
00:43:59,200 --> 00:44:01,320
CALL OUT TO MY COLLEAGUES ACROSS

1096
00:44:01,320 --> 00:44:03,640
NLM AND ASKED IF YOU HAD ACCESS

1097
00:44:03,640 --> 00:44:05,560
TO THIS TECHNOLOGY, OR IF YOU

1098
00:44:05,560 --> 00:44:06,920
WANTED TO EMBRACE IT WHAT WOULD

1099
00:44:06,920 --> 00:44:12,760
YOU DO WITH IT? AND SO I WAS HIT

1100
00:44:12,760 --> 00:44:14,600
WITH A LOT OF USE CASES, I WILL

1101
00:44:14,600 --> 00:44:16,440
GIVE YOU A FEW THAT I THOUGHT

1102
00:44:16,440 --> 00:44:17,440
WERE SOMETHING WE CAN MEASURE

1103
00:44:17,440 --> 00:44:19,040
BECAUSE WE WANT TO LOOK AT THIS

1104
00:44:19,040 --> 00:44:20,320
MEASURE AND THINK ABOUT WHAT WE

1105
00:44:20,320 --> 00:44:21,520
ARE GOING TO DO WITH THIS

1106
00:44:21,520 --> 00:44:26,600
TECHNOLOGY GOING FORWARDS.  

1107
00:44:26,600 --> 00:44:28,120
COUPLE TO WRITE CODE AUTOMATION

1108
00:44:28,120 --> 00:44:30,320
SCRIPS FASTER, CONCERT FILES TO

1109
00:44:30,320 --> 00:44:32,000
DIFFERENT FORMATS, TEST AND

1110
00:44:32,000 --> 00:44:33,680
REPRODUCE FUNCTIONALITY. WE

1111
00:44:33,680 --> 00:44:39,000
THOUGHT ABOUT USING IT FOR AUTO

1112
00:44:39,000 --> 00:44:40,840
RESPONSES TO TRADITIONAL

1113
00:44:40,840 --> 00:44:42,720
CUSTOMER SERVI SERVICE. WE ARE A

1114
00:44:42,720 --> 00:44:44,400
LIBRARY AND WE GET A LOT OF

1115
00:44:44,400 --> 00:44:45,760
REFERENCE QUESTIONS, HOW CAN WE

1116
00:44:45,760 --> 00:44:47,640
RESPOND TO THOSE QUICKER OR

1117
00:44:47,640 --> 00:44:51,280
AUTOMATE THAT PROCESS. FEEDING

1118
00:44:51,280 --> 00:44:54,400
LARGE AMOUNTS OF DATA TO GET

1119
00:44:54,400 --> 00:44:55,920
MEANINGFUL SUMMARIZATIONS USING

1120
00:44:55,920 --> 00:44:57,960
THIS TECHNOLOGY IS LARGE USE

1121
00:44:57,960 --> 00:45:00,320
CASE FOR US AND EVEN CREATING

1122
00:45:00,320 --> 00:45:03,400
USER DOCUMENTAT DOCUMENTATION. D

1123
00:45:03,400 --> 00:45:05,960
ME FILES. SO WHEN WE UPDATE

1124
00:45:05,960 --> 00:45:07,520
INFORMATION ON OUR SYSTEMS, YOU

1125
00:45:07,520 --> 00:45:11,840
CAN INPUT THAT AND GET A WELL

1126
00:45:11,840 --> 00:45:16,080
DRAFTED TEXT DOCUMENT OUT OF IT 

1127
00:45:16,080 --> 00:45:19,000
SO WITH THAT, THERE'S MANY OTHER

1128
00:45:19,000 --> 00:45:20,520
USE CASES THAT WE ARE THINKING

1129
00:45:20,520 --> 00:45:27,520
ABOUT AS WELL.  SO SHORT TERM

1130
00:45:27,520 --> 00:45:29,040
OPTIONS FOR FEDERAL AGENCIES. 

1131
00:45:29,040 --> 00:45:30,320
HOW CAN WE THINK ABOUT NEW WAYS

1132
00:45:30,320 --> 00:45:34,000
TO HARNESS THE TECHNOLOGY AND

1133
00:45:34,000 --> 00:45:38,360
CONDUCT RESEARCH? IF YOU PUT IN

1134
00:45:38,360 --> 00:45:40,160
GO TO REPORTER AND CUT AND PASTE

1135
00:45:40,160 --> 00:45:41,880
SOME DIFFERENT RESEARCH TOPICS

1136
00:45:41,880 --> 00:45:43,280
AND YOU CAN ASK IT O GENERATE

1137
00:45:43,280 --> 00:45:47,920
NEW IDEAS, IT IS THINKING BEYOND

1138
00:45:47,920 --> 00:45:52,040
OUR OWN LIMITATIONS AND OUR OWN

1139
00:45:52,040 --> 00:45:53,240
BLINDERS SOMETIMES. CONSIDER

1140
00:45:53,240 --> 00:45:56,880
INFORMATION MANAGEMENT AND

1141
00:45:56,880 --> 00:45:58,960
PRACTICES AND TOOLS FOR MAKING

1142
00:45:58,960 --> 00:46:01,320
DATA MORE FAIR. AS I MENTIONED

1143
00:46:01,320 --> 00:46:03,360
EARLIER, MUCH OF WHAT WE DO IN

1144
00:46:03,360 --> 00:46:05,240
LIBRARY OPERATIONS, IN FACT

1145
00:46:05,240 --> 00:46:06,760
ACROSS THE ENTIRE LIBRARY IS

1146
00:46:06,760 --> 00:46:17,320
CURATION OF DATA. MAKING IT MORE

1147
00:46:17,640 --> 00:46:18,640
INTEROPERABLE AND FRIENDLY

1148
00:46:18,640 --> 00:46:19,920
ACROSS THE SYSTEMS.

1149
00:46:19,920 --> 00:46:22,600
REPRESENTATION IN YOUR RESEARCH 

1150
00:46:22,600 --> 00:46:23,880
AND OF COURSE INVESTING IN

1151
00:46:23,880 --> 00:46:25,480
DEVELOPING NEW EXPERTISE IN

1152
00:46:25,480 --> 00:46:29,480
AREAS LIKE AI LITERACY, PROMPT

1153
00:46:29,480 --> 00:46:30,520
ENGINEERING, PROMPT ENGINEERING

1154
00:46:30,520 --> 00:46:32,480
IS A BIG THING WE ARE LEARNING

1155
00:46:32,480 --> 00:46:35,960
ABOUT. YOU DON'T ENTER IT IN

1156
00:46:35,960 --> 00:46:37,960
THESE CHAT BOTS, YOU DON'T TREAT

1157
00:46:37,960 --> 00:46:40,400
THEM LIKE GOOGLE WHERE YOU THROW

1158
00:46:40,400 --> 00:46:42,760
COUPLE OF WORDS IN AND PRESS THE

1159
00:46:42,760 --> 00:46:48,440
ENTER KEY AND GO. YOU CAN CREATE

1160
00:46:48,440 --> 00:46:50,560
SOME. YOU CAN CREATE VERY

1161
00:46:50,560 --> 00:46:52,160
SPECIFIC PROMPT AND QUESTIONS TO

1162
00:46:52,160 --> 00:46:57,480
GET MUCH BETTER QUALITY RETURNS.

1163
00:46:57,480 --> 00:46:59,960
AND OF COURSE FOUNDATION MODEL

1164
00:46:59,960 --> 00:47:01,320
CUSTOMIZATION. THE BIGGEST THING

1165
00:47:01,320 --> 00:47:02,120
HERE THAT I HAVE BEEN

1166
00:47:02,120 --> 00:47:07,800
EXPERIENCING IS PEOPLE WANT SOME

1167
00:47:07,800 --> 00:47:09,520
GRINDS. THEY ARE LIKE CAN I USE

1168
00:47:09,520 --> 00:47:12,960
THIS AND PLAY WITH THIS? AS YOU

1169
00:47:12,960 --> 00:47:14,400
CAN IMAGINE, IN THE GOVERNMENT

1170
00:47:14,400 --> 00:47:16,400
WE HAVE A LOT OF DIFFERENT INPUT

1171
00:47:16,400 --> 00:47:19,200
REGARDING USING AI. THERE'S A

1172
00:47:19,200 --> 00:47:21,640
LOT OUT THERE. I HAVE INCLUDED

1173
00:47:21,640 --> 00:47:24,200
IN THESE AND I'M SURE LAUREN

1174
00:47:24,200 --> 00:47:25,200
WILL SHARE THESE WITH EVERYONE.

1175
00:47:25,200 --> 00:47:29,880
I DID ADD AN APPENDIX THAT HAS A

1176
00:47:29,880 --> 00:47:35,560
LOT OF THESE EXECUTIVE ORDERS

1177
00:47:35,560 --> 00:47:41,360
AND SOME OTHER CORE NIH BILL OF

1178
00:47:41,360 --> 00:47:43,480
RIGHTS AND THE AUTOMATED

1179
00:47:43,480 --> 00:47:44,760
INTELLIGENCE STRATEGY POSITION

1180
00:47:44,760 --> 00:47:46,680
AND THE NEST AI MANAGEMENT

1181
00:47:46,680 --> 00:47:49,400
FRAMEWORK, SOMETHING THAT IS ONE

1182
00:47:49,400 --> 00:47:52,560
OF THE BEGINNING BASIS FOR

1183
00:47:52,560 --> 00:47:54,360
EVERYTHING WE ARE DOING IN AI IS

1184
00:47:54,360 --> 00:47:56,640
USING THIS NIST FRAMEWORK. IF

1185
00:47:56,640 --> 00:47:58,560
YOU ARE NOT FAMILIAR WITH IT I

1186
00:47:58,560 --> 00:47:59,880
ENCOURAGE YOU TO TAKE A PEAK AT

1187
00:47:59,880 --> 00:48:02,360
THAT. SO WITH THAT, I'M GOING TO

1188
00:48:02,360 --> 00:48:03,560
END HERE AND OPEN IT UP TO ANY

1189
00:48:03,560 --> 00:48:07,720
QUESTIONS. OR COMMENTS,

1190
00:48:07,720 --> 00:48:15,840
THOUGHTS. 

1191
00:48:15,840 --> 00:48:17,120
>> THANK YOU VERY MUCH
DIANNE. I

1192
00:48:17,120 --> 00:48:21,040
APPRECIATE YOU TAKING THIS TOPIC

1193
00:48:21,040 --> 00:48:24,800
AND HELPING US UNDERSTAND MORE

1194
00:48:24,800 --> 00:48:27,200
HOW THIS INTERFACES AND YOU CAN

1195
00:48:27,200 --> 00:48:30,240
JUST -- THINGS TO THINK ABOUT AS

1196
00:48:30,240 --> 00:48:31,840
WE REACH OUR INDIVIDUAL AREAS OF

1197
00:48:31,840 --> 00:48:37,240
INFLUENCE AND WORK. THIS IS IN

1198
00:48:37,240 --> 00:48:39,800
MY MIND A NEW CHAPTER IN A

1199
00:48:39,800 --> 00:48:43,160
BRAVER NEW WORLD. WHAT -- SO I

1200
00:48:43,160 --> 00:48:45,760
ASSUME THERE ARE RESEARCHERS IN

1201
00:48:45,760 --> 00:48:51,320
THIS AREA. WHAT IS DOING OUR

1202
00:48:51,320 --> 00:48:53,160
PARTNERING WITH OTHERS TO TAKE

1203
00:48:53,160 --> 00:48:54,880
ADVANTAGE OF GENERATIVE AI THAT

1204
00:48:54,880 --> 00:48:57,200
IS GOING ON OR CONVERSELY

1205
00:48:57,200 --> 00:49:00,480
MONITORING FRAUDULENT USE?

1206
00:49:00,480 --> 00:49:02,480
>> THERE WAS A ROUND TABLE

1207
00:49:02,480 --> 00:49:06,120
THROUGH THE NIH LIBRARY LAST

1208
00:49:06,120 --> 00:49:08,240
WEEK. AND WE HAVE FROM THE

1209
00:49:08,240 --> 00:49:13,720
ETHICS OFFICE TALKING ABOUT

1210
00:49:13,720 --> 00:49:15,120
FRAUD AND DOING DETECTION

1211
00:49:15,120 --> 00:49:17,920
SERVICES AND THINGS LIKE THAT. 

1212
00:49:17,920 --> 00:49:24,760
WE DON'T HAVE ACROSS NLM OR VERY

1213
00:49:24,760 --> 00:49:25,680
SPECIFIC GUIDANCE. WHAT I HAVE

1214
00:49:25,680 --> 00:49:27,280
NOTICED IS PEOPLE ARE IN IT AND

1215
00:49:27,280 --> 00:49:29,800
THEY ARE PLAYING, THE HORSES ARE

1216
00:49:29,800 --> 00:49:32,240
OUTSIDE OF THAT GATE.  AND SO

1217
00:49:32,240 --> 00:49:33,760
WHAT I HAVE FOUND IS PEOPLE ARE

1218
00:49:33,760 --> 00:49:36,080
ASKING ME WHAT IS THE GUIDANCE.

1219
00:49:36,080 --> 00:49:39,880
I TURN TO THESE -- THE DIFFERENT

1220
00:49:39,880 --> 00:49:41,360
APPENDICES THAT -- THE I ITEMS

1221
00:49:41,360 --> 00:49:44,080
ON THE APPENDIX THAT I HAVE IN

1222
00:49:44,080 --> 00:49:48,560
MY SLIDES Z AS YOUR GO TO

1223
00:49:48,560 --> 00:49:55,280
REFERENCES. I REALLY THINK A BIG

1224
00:49:55,280 --> 00:49:59,120
THING WILL BE TRANSPARENCY. I

1225
00:49:59,120 --> 00:50:00,680
THINK GOING FORWARD THERE WILL

1226
00:50:00,680 --> 00:50:02,600
BE AN ACCEPTANCE OF THESE TOOLS

1227
00:50:02,600 --> 00:50:04,640
THAT ARE OUT THERE. YOU CAN USE

1228
00:50:04,640 --> 00:50:06,760
THEM AS TIME SAVERS. I THINK THE

1229
00:50:06,760 --> 00:50:10,320
BIGGEST THING IS GOING TO BE

1230
00:50:10,320 --> 00:50:12,440
ATTRIBUTIONS, TRANSPARENCY, WHEN

1231
00:50:12,440 --> 00:50:14,320
DID YOU USE IT, WHICH VERSION

1232
00:50:14,320 --> 00:50:16,880
DID YOU USE. AND REALLY

1233
00:50:16,880 --> 00:50:19,560
PROVIDING THOSE -- AND HOW YOU

1234
00:50:19,560 --> 00:50:21,920
CAN USE THEM. SO AGAIN, THIS CAN

1235
00:50:21,920 --> 00:50:24,520
LEAD TO MORE ON THE

1236
00:50:24,520 --> 00:50:27,800
REPRODUCIBILITY GOING FORD FORW.

1237
00:50:27,800 --> 00:50:29,560
THE SCHOLARLY COMMUNICATIONS AND

1238
00:50:29,560 --> 00:50:33,120
PUBLISHING COMMUNITY IS REALLY

1239
00:50:33,120 --> 00:50:34,960
SCRAMBLING TO GET AHEAD OF THIS

1240
00:50:34,960 --> 00:50:37,840
AS WELL IN THINKING ABOUT WHAT

1241
00:50:37,840 --> 00:50:39,600
ARE SOME OF THE DETECTION

1242
00:50:39,600 --> 00:50:42,040
SERVICES THEY CAN DO. IT IS

1243
00:50:42,040 --> 00:50:43,320
GOING TO BE ABOUT EDUCATING

1244
00:50:43,320 --> 00:50:47,200
RESEARCHERS.  ON USE BY VERIFY

1245
00:50:47,200 --> 00:50:48,280
SO CHECK THE INFORMATION YOU ARE

1246
00:50:48,280 --> 00:50:52,440
GETTING. THEN BE TRANSPARENT AND

1247
00:50:52,440 --> 00:50:55,920
DISCLOSE IT. 

1248
00:50:55,920 --> 00:50:58,720
>> THANK YOU. LOOKS LIKE
PAMELA

1249
00:50:58,720 --> 00:51:01,080
HAS A QUESTION.

1250
00:51:01,080 --> 00:51:04,000
>> I'M WONDERING, WE HAD
TALKED

1251
00:51:04,000 --> 00:51:09,320
ABOUT TRANSLATING ARTICLES USING

1252
00:51:09,320 --> 00:51:11,680
GOOGLE TRANSLATE. I USE CHATGPT

1253
00:51:11,680 --> 00:51:14,440
TO TRANSLATE ARTICLES FROM ON

1254
00:51:14,440 --> 00:51:19,640
THE ONE I TRIED WAS WRITTEN IN

1255
00:51:19,640 --> 00:51:26,280
KOREAN. AND I COMPARED CHATGPT I

1256
00:51:26,280 --> 00:51:28,600
DON'T SPEAK KOREAN, TO PREFACE.

1257
00:51:28,600 --> 00:51:31,320
SO I LOOK AT CHATGPT AND LOOKED

1258
00:51:31,320 --> 00:51:34,880
AT HOW GOOGLE TRANSLATED IT.  

1259
00:51:34,880 --> 00:51:37,080
AND GOOGLE TRANSLATE I GUESS WAS

1260
00:51:37,080 --> 00:51:38,760
BEING EXTREMELY LITERAL TO A

1261
00:51:38,760 --> 00:51:42,040
POINT OF SOMETIMES BEING GOOFY.

1262
00:51:42,040 --> 00:51:47,320
CHATGPT GAVE A BEAUTIFUL FLOWING

1263
00:51:47,320 --> 00:51:50,280
ARTICLE BUT I QUESTION HOW MUCH

1264
00:51:50,280 --> 00:51:54,240
OF THAT WAS ACCURATE. OR IF IT

1265
00:51:54,240 --> 00:51:57,080
WAS JUST TRYING TO MAKE -- IN

1266
00:51:57,080 --> 00:51:58,320
THE BALANCE OF THOSE TRYING TO

1267
00:51:58,320 --> 00:52:00,360
MAKE IT SOUND GOOD.  VIEW LOOKED

1268
00:52:00,360 --> 00:52:01,720
AT -- LOOKS LIKE YOU ARE NODDING

1269
00:52:01,720 --> 00:52:05,480
ABOUT THIS. SO I'M CURIOUS WITH

1270
00:52:05,480 --> 00:52:07,840
TRANSLATING, WHAT YOU THINK

1271
00:52:07,840 --> 00:52:08,840
ABOUT CHATGPT?

1272
00:52:08,840 --> 00:52:11,560
>> I HAVEN'T USED IT FOR
-- I

1273
00:52:11,560 --> 00:52:14,320
HAVE USED IT FOR TRANSLATIONS

1274
00:52:14,320 --> 00:52:19,160
BUT WHAT I FOUND MORE

1275
00:52:19,160 --> 00:52:21,520
INTERESTING IT HAS A SENTIMENT

1276
00:52:21,520 --> 00:52:25,800
FILTER ON IT SO YOU CAN SAY TURN

1277
00:52:25,800 --> 00:52:31,040
THIS DOWN, MAKE THIS MUCH MORE

1278
00:52:31,040 --> 00:52:36,360
PLAIN LANGUA LANGUAGE. MAKE THIE

1279
00:52:36,360 --> 00:52:37,840
FORMAL LADDER. SO WILL IS A

1280
00:52:37,840 --> 00:52:39,400
SENTIMENT ANALYSIS THAT YOU CAN

1281
00:52:39,400 --> 00:52:41,200
ASK FOR IN P YOUR RESPONSES AS

1282
00:52:41,200 --> 00:52:48,040
WELL. I THINK THE DEFAULT IS THE

1283
00:52:48,040 --> 00:52:49,040
CONVERSATIONAL RESPONSES.  IN

1284
00:52:49,040 --> 00:52:51,040
YOUR TRANSLATION, IT PROBABLY

1285
00:52:51,040 --> 00:52:53,080
GAVE YOU THE CONVERSATIONAL

1286
00:52:53,080 --> 00:52:54,360
TRANSLATION VERSION AS OPPOSED

1287
00:52:54,360 --> 00:52:56,040
TO GAGGLE LIKE YOU SAID, WHICH

1288
00:52:56,040 --> 00:52:57,600
IS -- GOOGLE LIKE YOU SAID WHICH

1289
00:52:57,600 --> 00:53:00,040
IS WORD FOR WORD.

1290
00:53:00,040 --> 00:53:03,000
>> IT ACTUALLY SOUNDED
LIKE

1291
00:53:03,000 --> 00:53:03,560
PAPER.

1292
00:53:03,560 --> 00:53:09,040
>> THE GOOGLE TRANSLATE I

1293
00:53:09,040 --> 00:53:10,840
REMEMBER LIKE THE WORD CASTLE

1294
00:53:10,840 --> 00:53:13,080
SHOWING UP AND I THINK THERE WAS

1295
00:53:13,080 --> 00:53:16,240
SOME LIT RATION LIKE THIS IS A

1296
00:53:16,240 --> 00:53:18,400
GARDEN, BUT SO THE GOOGLE

1297
00:53:18,400 --> 00:53:20,000
TRANSLATE YOU CAN GET THE GIST

1298
00:53:20,000 --> 00:53:21,760
OF THE ARTICLE BUT USING GOOGLE

1299
00:53:21,760 --> 00:53:26,000
TRANSLATE IN THE CHATGPT USING

1300
00:53:26,000 --> 00:53:28,160
THEM SIDE BY SIDE IT LIKE I HAD

1301
00:53:28,160 --> 00:53:28,720
BETTER UNDERSTANDING OF THE

1302
00:53:28,720 --> 00:53:32,120
EARLY A. I WAS CONCERNED THAT

1303
00:53:32,120 --> 00:53:36,440
CHATGPT WAS PERHAPS FILLING IN

1304
00:53:36,440 --> 00:53:36,880
SOME BLANK.

1305
00:53:36,880 --> 00:53:40,320
>> WHAT I HAVE DONE IS I
HAVE

1306
00:53:40,320 --> 00:53:43,360
HAD SEVERAL DIFFERENT DO MYSELF

1307
00:53:43,360 --> 00:53:48,200
HERE WITH AN L. BUT I USE

1308
00:53:48,200 --> 00:53:54,560
CHATGPT, I USE THE BING CHAT BOX

1309
00:53:54,560 --> 00:53:58,600
AND BARD SO I LIKE TO PUT MY

1310
00:53:58,600 --> 00:54:00,480
QUESTIONS IN TO EACH OF THEM SO

1311
00:54:00,480 --> 00:54:05,200
SEE HOW IT PULLS THEM OUT. FROM

1312
00:54:05,200 --> 00:54:06,520
MY OWN EXPERIENCE I HAVE FOUND

1313
00:54:06,520 --> 00:54:08,920
THE OPEN AI CHATGPT VERSION, IT

1314
00:54:08,920 --> 00:54:13,280
IS MUCH MORE IN MY OPINION A

1315
00:54:13,280 --> 00:54:15,280
CONVERSATIONAL RETURN. OF THE

1316
00:54:15,280 --> 00:54:16,160
INFORMATION. I DON'T KNOW IF IT

1317
00:54:16,160 --> 00:54:18,080
WAS JUST TRAINED THAT WAY, MAYBE

1318
00:54:18,080 --> 00:54:23,080
THAT IS BECAUSE MORE PEOPLE HAVE

1319
00:54:23,080 --> 00:54:25,640
GIVEN THE THUMBS UP IN THE CHAT

1320
00:54:25,640 --> 00:54:26,680
BOX YEAH THAT WAS A GOOD

1321
00:54:26,680 --> 00:54:27,640
RESPONSE SO IT KEEPS LEARNING

1322
00:54:27,640 --> 00:54:28,960
AND PROVIDES THE FEEDBACK THAT

1323
00:54:28,960 --> 00:54:32,320
WAY AS WELL. 

1324
00:54:32,320 --> 00:54:33,240
>> THANK YOU.

1325
00:54:33,240 --> 00:54:36,000
>> IF YOU HAVE TIME I CAN
THROW

1326
00:54:36,000 --> 00:54:38,680
TO OTHERS AND SEE IF IT IS A --

1327
00:54:38,680 --> 00:54:40,720
IF YOU CAN SEE THE DIFFERENCES

1328
00:54:40,720 --> 00:54:41,160
IN IT.

1329
00:54:41,160 --> 00:54:45,080
>> I HAVE ASKED SOMEONE
WHO

1330
00:54:45,080 --> 00:54:46,840
SPEAKS KOREAN IF SHE CAN JUST

1331
00:54:46,840 --> 00:54:48,840
LOOK AT IT BUT IT TAKES A LOT OF

1332
00:54:48,840 --> 00:54:52,760
TIME FOR AN INDIVIDUAL TO

1333
00:54:52,760 --> 00:54:54,120
TRANSLATE AN ARTICLE EVEN IF

1334
00:54:54,120 --> 00:54:54,960
THEY SPEAK THE LANGUAGE

1335
00:54:54,960 --> 00:55:01,680
FLUENTLY. SO IT IS A BIG ASK.

1336
00:55:01,680 --> 00:55:02,280
>> IT IS.

1337
00:55:02,280 --> 00:55:05,280
>> LOOKS LIKE WE HAVE
ANOTHER

1338
00:55:05,280 --> 00:55:06,880
QUESTION IN THE CHAT FROM CHRIS

1339
00:55:06,880 --> 00:55:09,040
ANDERSON. HOW DOES THIS GUIDANCE

1340
00:55:09,040 --> 00:55:11,240
NOT TO GIVE ATTRIBUTION TO AI

1341
00:55:11,240 --> 00:55:14,280
FIT WITHIN FRAMEWORK OF

1342
00:55:14,280 --> 00:55:16,960
TRANSPARENCY?

1343
00:55:16,960 --> 00:55:21,520
>> I THINK IT IS TO GIVE

1344
00:55:21,520 --> 00:55:24,160
ATTRIBUTIONS. TO BE TRANSPARENT

1345
00:55:24,160 --> 00:55:28,320
ABOUT HOW YOU ARE USING IT.  SO

1346
00:55:28,320 --> 00:55:31,800
I THINK AS WE MOVE FORWARD IT IS

1347
00:55:31,800 --> 00:55:38,480
GOING TO BE AS YOUR DISCLOSING

1348
00:55:38,480 --> 00:55:40,720
YOUR USE OF PARTICULAR CHAT BOT

1349
00:55:40,720 --> 00:55:44,040
OR GENERATIVE AI SERVICE YOU

1350
00:55:44,040 --> 00:55:46,800
WOULD SAY NOT CITE THEM AS AN

1351
00:55:46,800 --> 00:55:48,600
AUTHOR. WE JUST SAW THAT THAT IS

1352
00:55:48,600 --> 00:55:51,400
NOT A LEGITIMATE THING TO DO

1353
00:55:51,400 --> 00:55:53,080
BASED ON THE AUTHORSHIP

1354
00:55:53,080 --> 00:55:56,680
STATEMENT FROM IGME AND OTHER

1355
00:55:56,680 --> 00:55:58,720
PUBLISHER STATEMENTS OUT THERE.

1356
00:55:58,720 --> 00:56:00,520
BUT I THINK THAT WE WOULD -- WE

1357
00:56:00,520 --> 00:56:03,880
WILL BE SEEING RESEARCHERS

1358
00:56:03,880 --> 00:56:06,520
ACTUALLY HAVING SOME DISCLOSURE

1359
00:56:06,520 --> 00:56:08,400
ON THEIR -- IN THEIR RESEARCH

1360
00:56:08,400 --> 00:56:09,280
PROBABLY IN THE PAPERS AND

1361
00:56:09,280 --> 00:56:13,120
THINGS LIKE THAT. WHAT I'M

1362
00:56:13,120 --> 00:56:16,400
CURIOUS ABOUT, AND WASHINGTON

1363
00:56:16,400 --> 00:56:19,280
POST A COUPLE, MAYBE LAST MONTH

1364
00:56:19,280 --> 00:56:22,040
TIMES SEEMS TO BE IN A VACUUM

1365
00:56:22,040 --> 00:56:24,320
LATELY, THERE WAS A DISCLOSURE

1366
00:56:24,320 --> 00:56:29,040
ON ALL OF THE DIFFERENT WEB

1367
00:56:29,040 --> 00:56:31,880
SITES THAT OPEN AI WAS ACCESSING

1368
00:56:31,880 --> 00:56:35,120
AND AS YOU CAN IMAGINE NIH NLM,

1369
00:56:35,120 --> 00:56:38,800
MANY OF OUR SYSTEMS AND OUR

1370
00:56:38,800 --> 00:56:43,920
URLs WERE POSTED ON THERE. I'M

1371
00:56:43,920 --> 00:56:45,600
CURIOUS AS TO EVERY DAY WE ARE

1372
00:56:45,600 --> 00:56:46,800
ADDING MORE INFORMATION, THEY

1373
00:56:46,800 --> 00:56:49,000
ARE NOT USING API TO KEEP

1374
00:56:49,000 --> 00:56:51,040
CURRENT, THEY ARE SCRAPING SO IT

1375
00:56:51,040 --> 00:56:53,280
IS GOT A TIME STAMP. THE OTHER

1376
00:56:53,280 --> 00:56:57,600
THING TO THINK ABOUT IS WHEN WAS

1377
00:56:57,600 --> 00:57:01,000
THIS DATA SCRAPED. IT IS

1378
00:57:01,000 --> 00:57:02,480
TYPICALLY NOT CURRENT. ARE YOU

1379
00:57:02,480 --> 00:57:04,960
GETTING THE MOST RECENT

1380
00:57:04,960 --> 00:57:07,840
INFORMATION SO IN MY HEAD I'M

1381
00:57:07,840 --> 00:57:10,160
THINKING COVIDND EVERY DAY A NEW

1382
00:57:10,160 --> 00:57:12,720
CURE OR NEW THING NOT TO DO OR

1383
00:57:12,720 --> 00:57:13,960
SOME OTHER SOCIAL MEDIA THING

1384
00:57:13,960 --> 00:57:16,640
GOING ON WITH IT. THAT WOULD --

1385
00:57:16,640 --> 00:57:19,720
I'M THINKING HOW THIS COULD

1386
00:57:19,720 --> 00:57:23,280
REALLY BE A PATHWAY TO SOME

1387
00:57:23,280 --> 00:57:24,760
INTERESTING DISINFORMATION

1388
00:57:24,760 --> 00:57:25,720
ESPECIALLY WITH TIME STAMPS ON

1389
00:57:25,720 --> 00:57:28,280
IT.  NOT GETTING THE MOST

1390
00:57:28,280 --> 00:57:30,400
RECENT. SO IN MY HEAD THAT IS

1391
00:57:30,400 --> 00:57:32,080
WHERE I THINK AT LEAST

1392
00:57:32,080 --> 00:57:34,840
DISCLOSING WHEN YOU USED IT AND

1393
00:57:34,840 --> 00:57:36,320
WHICH SERVICE YOU USE BECAUSE

1394
00:57:36,320 --> 00:57:39,920
THEY ARE NOT DISCLOSING WHICH

1395
00:57:39,920 --> 00:57:42,440
SITES THEY ARE SCRAPING AND THE

1396
00:57:42,440 --> 00:57:43,480
DATES THERE ARE SCRAPES ON THERE

1397
00:57:43,480 --> 00:57:47,080
EITHER. LET ALONE THE ALGORITHM

1398
00:57:47,080 --> 00:57:49,400
AND HOW ALL OF THAT HAVE IS

1399
00:57:49,400 --> 00:57:51,720
GOING THROUGH ALL OF THE

1400
00:57:51,720 --> 00:57:55,600
DIFFERENT INDICES IN THOSE AND

1401
00:57:55,600 --> 00:57:56,960
GENERATING A SOLUTION IN ANSWER

1402
00:57:56,960 --> 00:58:00,160
TO YOUR TOP QUESTION. SO THERE

1403
00:58:00,160 --> 00:58:03,680
IS A LOT THAT REMAINS UNKNOWN IN

1404
00:58:03,680 --> 00:58:06,280
THESE THINGS. BUT IT DOES LOOK

1405
00:58:06,280 --> 00:58:07,920
EXCITING. WE ARE PUTTING

1406
00:58:07,920 --> 00:58:09,920
TOGETHER A PROPOSAL TO INTRODUCE

1407
00:58:09,920 --> 00:58:12,200
IT TO NLM STAFF. WE ARE GOING TO

1408
00:58:12,200 --> 00:58:13,280
HAVE A SECURE ENVIRONMENT, WE

1409
00:58:13,280 --> 00:58:15,920
ARE CALLING IT A PLAYGROUND FOR

1410
00:58:15,920 --> 00:58:19,040
STAFF TO USE. WE ARE ASKING IT

1411
00:58:19,040 --> 00:58:20,960
TO HAVE SOME KIND OF METRIC,

1412
00:58:20,960 --> 00:58:22,120
SOME KIND OF MEASURES TO SHOW

1413
00:58:22,120 --> 00:58:24,320
HERE IS WHAT I'M TRYING TO DO,

1414
00:58:24,320 --> 00:58:27,160
IS THIS AN EFFECTIVE TOOL. AND

1415
00:58:27,160 --> 00:58:29,240
FROM THERE OUR PROPOSAL WILL

1416
00:58:29,240 --> 00:58:31,440
TAKE US MUCH FURTHER TO THE

1417
00:58:31,440 --> 00:58:35,000
FUTURE. IT IS CREATING A DOMAIN,

1418
00:58:35,000 --> 00:58:40,480
A LARGE LANGUAGE -- A LARGE LOM

1419
00:58:40,480 --> 00:58:43,200
DOMAIN SPECIFIC FOR ALL OF NLM

1420
00:58:43,200 --> 00:58:44,760
OR NIH INFORMATION RESOURCES. IS

1421
00:58:44,760 --> 00:58:46,520
THAT SOMETHING THAT WE SHOULD

1422
00:58:46,520 --> 00:58:48,440
CONSIDER BUILDING? AND TRAINING

1423
00:58:48,440 --> 00:58:52,600
THAT UP SO THAT YOU JUST GET

1424
00:58:52,600 --> 00:58:55,920
ACCESS AND PROMPT JUST THAT

1425
00:58:55,920 --> 00:58:58,160
CORPUS OF DATA. THAT WOULD BE

1426
00:58:58,160 --> 00:59:01,800
MILLIONS OF DOLLARS TO TRAIN

1427
00:59:01,800 --> 00:59:03,880
THAT UP INTO ALL THE DATA

1428
00:59:03,880 --> 00:59:06,360
TOGETHER BUT YOU SEE THE DIGITAL

1429
00:59:06,360 --> 00:59:11,840
NIH, THAT IS A BEGINNING STEP TO

1430
00:59:11,840 --> 00:59:13,080
HARMONIZING PLATFORM STANDARDS

1431
00:59:13,080 --> 00:59:15,280
AND DATA AND HOW WE CAN MAKE

1432
00:59:15,280 --> 00:59:20,920
THINGS MUCH MORE INTERACTIVE.

1433
00:59:20,920 --> 00:59:23,240
>> THIS HAS BEEN A
FASCINATING

1434
00:59:23,240 --> 00:59:25,240
DISCUSSION, DIANNE. VERY MUCH

1435
00:59:25,240 --> 00:59:28,320
APPRECIATE YOUR EXPERTISE HERE

1436
00:59:28,320 --> 00:59:30,480
AND YOUR LEADING US THROUGH

1437
00:59:30,480 --> 00:59:31,720
THIS. APPRECIATE THE QUESTIONS

1438
00:59:31,720 --> 00:59:34,440
FROM THE COMMITTEE MEMBERS AS

1439
00:59:34,440 --> 00:59:36,840
WELL. IT IS ABOUT 2:30. THIS I

1440
00:59:36,840 --> 00:59:39,640
BELIEVE CONCLUDES THE OPEN

1441
00:59:39,640 --> 00:59:45,000
SESSION OF THE JUNE 2023 LSTRC

1442
00:59:45,000 --> 00:59:48,280
MEETING. LAUREN OR DIANNE,

1443
00:59:48,280 --> 00:59:50,200
ANYTHING BEFORE WE GO INTO A TEN

1444
00:59:50,200 --> 00:59:51,200
MINUTE BREAK HERE?

1445
00:59:51,200 --> 00:59:52,120
>> NONE FROM ME.

1446
00:59:52,120 --> 00:59:53,160
>> NONE FROM ME.

1447
00:59:53,160 --> 00:00:00,000
>> ALL RIGHT. SEE EVERYONE
AT 2:40