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AI & Us: Are We Intelligent Machines?


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The NFAIS Foresight Webinar - Artificial Intelligence: Weighing the Value for the Information Community, given by Bohyun Kim.

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AI & Us: Are We Intelligent Machines?

  1. 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,
  2. 2. Are We ‘Intelligent Machines’?
  3. 3. Concerns, Fear, Uncertainty
  4. 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. 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. 6. Let’s Get to Know a Bit about AI
  7. 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. 8. I. What Can AI Do?
  9. 9. image classification, object identification, machine translation, audio recognition, text analysis, personalized recommendation…
  10. 10.
  11. 11.
  12. 12. II. How Does AI Work?
  13. 13. duplex-assistant-phone-calls-robot-human
  14. 14.
  15. 15.
  16. 16. III. Learning & Research in the Era of AI & Dataism
  17. 17. the-way-it-does/
  18. 18.
  19. 19. –David Brooks, “The Philosophy of Data,” The New York Times, February 4, 2013, 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. 20.
  21. 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. 22. New Temple University’s Charles Library Building
  23. 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. 24. THANK YOU! @bohyunkim