The NFAIS Foresight Webinar - Artificial Intelligence: Weighing the Value for the Information Community, given by Bohyun Kim. https://www.niso.org/events/2019/09/nfais-foresight-artificial-intelligence-weighing-value-information-community

1. AI & US: Are We Intelligent Machines?
Bohyun Kim (Twitter: @bohyunkim)
CTO & Associate Professor, University Libraries, University of Rhode Island
NFAIS/NISO Foresight Webinar, Sep. 25, 2019
Image source: “What If an Artificial Intelligence Chooses Suicide?,” Hasty Reader (blog), February 16, 2018,
https://hastyreader.com/artificial-intelligence-self-destruct/.

2. Are We ‘Intelligent Machines’?

3. Concerns, Fear, Uncertainty

4. Frequently-Asked Questions
Are machines going to be better than humans?
Will AI/intelligent machines eliminate my job?
Will we be forced to interact with machines and have
less and less opportunities for human interactions?
How should I or my organization adjust in order to
survive and succeed in the new era of AI?

5. What will it be like to live, learn, and work with
intelligent machines?
We do NOT have an appropriate model for this, yet.

6. https://www.ft.com/content/56dde36c-aa40-11e9-984c-fac8325aaa04
Let’s Get to Know a Bit about AI

7. Things I Will Cover Today
I. What Can AI Do?
II. How Does AI Work?
III. Learning & Research in the Era of AI & Dataism

8. I. What Can AI Do?

9. image classification, object identification, machine translation,
audio recognition, text analysis, personalized recommendation…

10. https://lens.google.com

11. https://books.google.com/talktobooks/
https://research.google.com/semanticexperiences/about.html

12. II. How Does AI Work?

13. https://www.theguardian.com/technology/2018/may/08/google-
duplex-assistant-phone-calls-robot-human

14. https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

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

16. III. Learning & Research in
the Era of AI & Dataism

17. https://www.technologyreview.com/s/613502/deep-learning-could-reveal-why-the-world-works-
the-way-it-does/

18. https://www.gizmodo.com.au/2019/06/robots-are-not-coming-for-your-jobmanagement-is/

19. –David Brooks, “The Philosophy of Data,” The New York
Times, February 4, 2013, https://www.nytimes.com/
2013/02/05/opinion/brooks-the-philosophy-of-data.html.
Data-ism is a belief that “everything that can be
measured should be measured; that data is a
transparent and reliable lens that allows us to filter
out emotionalism and ideology; that data will help us
do remarkable things - like foretell the future.”

20. https://www.independent.co.uk/life-style/gadgets-and-tech/news/self-driving-car-crash-racial-bias-black-people-study-a8810031.html
https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html

21. In my opinion, the most significant issue
that AI brings to our information profession is
not
how to utilize AI techniques to our field
but
what kind of learning and research we
should support and how in the new era of AI.

22. https://news.temple.edu/news/2018-02-21/temple-libraries-historic-1-million-gift-greenfield-foundation
https://library.temple.edu/explore-charles
New Temple University’s Charles Library Building
https://library.temple.edu/explore-charles

23. More Important Questions
How are we different from intelligent machines?
How should our learning be different from that of a
data-processing AI algorithm?

24. THANK YOU!
@bohyunkim
http://www.bohyunkim.net/blog/