The panelists discussed the impact of artificial intelligence (AI) on libraries. They provided several case studies of how libraries are getting involved with AI, including a staff journal club at the University of Maryland discussing topics like privacy and ethics in AI. The University of Rhode Island has an AI lab exploring machine learning bias. Presenters from Elsevier and the University of Oklahoma discussed research on AI publication growth and tools like chatbots and metadata generators. The panel addressed questions on librarian roles in AI training, challenges of collaboration, and rethinking staffing to leverage AI.

1. Impact of Artificial Intelligence (AI)
on Libraries
Panelists:
M.J. Tooey
Bohyun Kim
Adam Griff
Ann Gabriel
Jean P. Shipman, Moderator
ACRL 2019
April 12, 2019

2. Thanks to our Session Sponsor
University of Washington Libraries

3. Defining Artificial Intelligence – A Challenge

4. AI Research Publication Growth -13% a year
Source: Artificial Intelligence: How knowledge is created, transferred, and used. Elsevier, 2019.

5. Library Involvement with AI: Case Studies
• University of Maryland at Baltimore – Staff Journal Club - M.J. Tooey
• University of Rhode Island – AI Lab - Bohyun Kim
• Survey of Library AI Potentials – Adam Griff
• University of Oklahoma University Libraries – PAIR
• (Projects in Artificial Intelligence Registry).
https://pair.libraries.ou.edu/ - Chatbots (UCI and U OK); Metadata
Generators (UU, Indiana U)
• Library and i-school survey and a bibliography – see handouts

6. Getting Ready for AI:
A Library Journal Club
M.J. Tooey, MLS, AHIP, FMLA
Health Sciences and Human Services Library University of
Maryland, Baltimore
ACRL, April 12, 2019

7. Why?

8. 16 participants – faculty and staff
Monthly meetings
One hour
Shared responsibility

9. Topics
• What does Google/Facebook know about us and
how?
• AI in health care.
• Data (in)accuracy and its effect on AI.
• Intelligent agents and how they work.
• Library impact.
• Ethical and privacy considerations.
• Where do we go from here?

10. What have we learned?

11. Where to next?

12. M.J. Tooey
mjtooey@hshsl.umaryland.edu

13. ØWhy Does AI Matters to Librarianship & the Information
Profession?
ØThe URI AI Lab - https://web.uri.edu/ai/
ØMachine Learning Bias
Bohyun Kim
Chief Technology Officer & Associate Professor
University of Rhode Island Libraries

14. Ø The URI AI Lab - https://web.uri.edu/ai/

15. Source:
https://www.reddit.com/r/ProgrammerHumor/comments/7m7ccp/a_machine_learning_algorithm_walked_into_a_bar/

16. Artificial Intelligence: How knowledge
is created, transferred, and used.
Trends in China, Europe, and the U. S.
Ann Gabriel
SVP, Global Strategic Networks
Elsevier
ACRL 2019
April 12, 2019

17. Number of Keywords Among Perspectives

18. Map of AI Publication Volumes

19. AI Research Clusters

20. https://www.elsevier.com/connect/resource-center/artificial-intelligence

21. Panel Questions
1. Should librarians get involved in training their institutions’
personnel about AI?
2. What challenges do librarians face with collaborating with
their institutions on AI implementation and with identifying
appropriate information for machines to ingest?
3. How might librarians rethink their staffing and structure to
leverage AI?

22. Thank You!
Questions?
Share your experiences with AI
Reminder: Please complete an evaluation
of this panel using the conference app.