DELNET (Developing Library Network) Annual Lecture, given by Bohyun Kim, CTO and Associate Professor, University of Rhode Island Libraries, at the 23rd National Convention on Knowledge, Library and Information Networking (NACLIN), Online(/India), Sep. 23, 2020. http://www.naclin.org/

1. AI for Libraries
DELNET (Developing Library Network) Annual Lecture - 23rd National Convention on
Knowledge, Library and Information Networking (NACLIN), Online(/India), Sep. 23, 2020.
Bohyun Kim
CTO & Associate Professor,
University of Rhode Island Libraries, USA

2. https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/?cn-reloaded=1

3. What Comes
toYour Mind
WhenYou
Hear “AI”?

4. Convenience
https://www.theverge.com/2019/7/17/20697540/boston-dynamics-robots-commercial-real-world-business-spot-on-sale

5. https://www.cnn.com/2019/12/02/tech/china-facial-recognition-mobile-intl-hnk-scli/index.html
Surveillance

6. Benevolent AI

7. Malicious AI

8. AI for Libraries
I. What CanToday’s AI Do?
II. How Does AIWork?
III. Deep Learning Applications
IV. AI for Libraries
V. Q/As (15 min)

9. What is the Purpose of AI?

10. I.What CanToday’s AI Do?

11. https://deepmind.com/blog/article/alphago-zero-starting-scratch
Reinforcement Learning

12. https://www.nytimes.com/2019/02/05/busines
s/media/artificial-intelligence-journalism-
robots.html
AITools for NLG
• Heliograf,
Washington Post
• Wibbitz,
USAToday
• Cyborg,
Bloomberg News

13. ComputerVision
real-time translation and object identification from the
camera screen

14. More Examples of AI Applications
• Siri
• Alexa
• Tesla
• Amazon
• Netflix
• Pandora
• Nest

15. https://www.forbes.com/si
tes/gilpress/2019/07/15/is-
ai-going-to-be-a-jobs-
killer-new-reports-about-
the-future-of-
work/#17fd2057afb2

16. Madhumita Murgia, “AI’s New Workforce:The
Data-Labelling Industry Spreads Globally,”
FinancialTimes, July 23, 2019,
https://www.ft.com/content/56dde36c-aa40-
11e9-984c-fac8325aaa04.

17. II. How Does AIWork?

19. Symbolic AI is Rule-Based. (50’s – 80’s)
https://medium.com/@sunilpnwr/expert-systems-42715a5a5b14

20. Machine Learning is Data-Driven.
Diagrams from Francois Chollet and J. J. Allaire, Deep Learning with R, 1st edition (Shelter Island, NY:
Manning Publications, 2018).

21. https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/
Deep Learning Uses Hidden Layers.

22. https://www.amchkg.com/shileiblog/2017.1.4deep-learning

23. https://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-
learning.html
• +1 billion
parameters
• 16,000 CPU cores
• 10 million
unlabeledYouTube
videos

24. III. Deep Learning Applications

25. • 9-layer neural
network
• +120 million weights
• 4 million images
https://research.fb.com/publications/deepface-closing-the-gap-
to-human-level-performance-in-face-verification/
https://www.technologyreview.com/s/525586/facebook-creates-
software-that-matches-faces-almost-as-well-as-you-do/

26. https://www.nature.com/news
/deep-learning-boosts-
google-translate-tool-1.20696

27. https://www.blog.google/pr
oducts/assistant/lost-
translation-try-interpreter-
mode-google-assistant/

28. https://www.theguardian.com/
technology/2018/may/08/googl
e-duplex-assistant-phone-calls-
robot-human

29. https://techcrunch.com/2018/08/20/nyu-and-facebook-team-up-to-supercharge-mri-scans-with-ai/

30. https://firedrop.ai/

31. IV. AI for Libraries

32. (i) Abstracting & Indexing

34. (ii) Information Discovery / Retrieval
& Research Insight

35. https://quartolio.com/

36. https://yewno.com/edu/concept/102e6bf8445dff7c922e1cc4e997ebf3

37. https://mitlibraries-hamlet.mit.edu/similar_to/16605/

38. (iii) Feature Detection & Content Extraction

39. https://2018.code4lib.org/talks/deep-learning-and-historical-collections
Also see : Eric Phetteplace, Bohyun Kim, and Ashley Blewer, “Reflections on Code4Lib 2018,” ACRLTechConnect (blog),
March 12, 2018, https://acrl.ala.org/techconnect/post/reflections-on-code4lib-2018/.

41. (iv)Voice User Interface (VUI) & Chatbots

42. https://www.eventscribe.com/2018/ALA-Midwinter/fsPopup.asp?Mode=presInfo&PresentationID=348820

43. https://books.google.com/talktobooks/
https://research.google.com/semanticexperiences/about.html
+100,000 books

44. https://books.google.com/talktobooks/query?q=what%20is%20the%20best%20place%2
0to%20go%20on%20earth

45. https://books.google.com/talktobooks/query?q=why%20is%20there%20a%20wage%20difference%20b
etween%20men%20and%20women

46. JessamynWest, “TILT #55 - ‘Hey Google AREWomen Smarter than Men...?,’” TinyLetter (blog), accessed June 11, 2018,
http://tinyletter.com/jessamyn/letters/tilt-55-hey-google-are-women-smarter-than-men.

47. Consider:
How can libraries / content providers /
information system vendors make it easier for
AI- powered tools to accurately ingest, process,
and evaluate the content and the metadata?

48. Questions /
Comments?
https://www.alastore.ala.org/ltr56_2

49. ThankYou!
Bohyun Kim
@bohyunkim [Twitter]
http://bohyunkim.net/blog [Blog]
CTO & Associate Professor,
University of Rhode Island Libraries,
USA
Publications:
http://www.bohyunkim.net/blog/publications
Presentations:
http://www.bohyunkim.net/blog/presentations
Slides:
https://www.slideshare.net/bohyunkim