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Machines are the new Digital Natives

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It’s 2025. Internet of things has taken of, and both machines have joined humans on the Web and in society. What do they do, how do we cope, and more importantly, how did we end up here?

User experience has a major peak in importance: digital devices are everywhere, users are utterly diverse, and technology is getting highly advanced. Inventing better ways to let people interact with such technology has been the challenge of the 21st century. UX expectations are through the roof: children grow up as digital natives and think any thing is science. However, that is not all. The user spectrum has some new participants: machines. The rise of digital assistants introduce new challenges about how to deal with these newcomers. But how are we handling the next-gen AI-driven machine players, as they are the real digital natives. In this talk, we go over interesting use cases, positions and developments on AI. Furthermore, we touch on some technical and ethical fallacies in existing systems such as IBM Watson or self-driving cars. Finally, we illustrate future prospects and raise some challenging ethical questions.

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Machines are the new Digital Natives

  1. 1. Miel Vander Sande | IDLab – imec Prototyping Machines are the new Digital Natives
  2. 2. Machine intelligence is not Human intelligence Major challenge for User experience Crucial for AI’s societal adoption
  3. 3. 01 Determine machine behaviour
  4. 4. When do we want Asymmetrical AI?
  5. 5. Or rather Symmetrical AI?
  6. 6. Player Bad guys
  7. 7. Artificial Intelligence doesn’t always need to be sensible Users need to know what to expect
  8. 8. To machines, knowledge is also power Data
  9. 9. 10Democratize knowledge for machines
  10. 10. Quality depends greatly on the amount of accessible knowledge
  11. 11. Annotate the Web to be Machine understandable Autonomous discovery and consumption of distributed data
  12. 12. What are good business models for distributed knowledge?
  13. 13. A robot may not injure a human being or, through inaction, allow a human being to come to harm. Isaac Asimov's ”First law of Robotics"
  14. 14. Find the consensus derived “best self”
  15. 15. 11Reconcile moral values and personal self-interest
  16. 16. Can we trust machines?
  17. 17. We want everyone else in an ethical car
  18. 18. But would you buy one?
  19. 19. Machines will make different mistakes and brutal decisions How to accept that in society?
  20. 20. Determine machine behaviour Democratize knowledge for machines Reconcile moral values and personal self-interest 01 10 11
  21. 21. User Experience for AI is an interdisciplinary task Start talking!
  22. 22. @Miel_vds | IDLab – imec Prototyping Machines are the new Digital Natives
  23. 23. Image attribution 1.  Pepper the robot butler © Vincent Desailly 2.  Watson and the Jeopardy Challenge © IBM Research 3.  Inside the mind of Watson © Chris Welty IBM Research 4.  Design VS. User experience © Guy Cookson 5.  Burr Puzzle © kubiyagames 6.  One of Japan’s lovable store robots was drunkenly punted © Daniel Cooper 7.  Game Development Myths: Players Want Smart Artificial Intelligence © AskAGameDev.tumblr.com 8.  Comparison Between Cortana, Siri & Google Now © Lauren Doucette 9.  Robot surfing the Web © Shutterstock 10.  Money on the Web 11.  12 Angry Men © Metro-Goldwyn-Mayer, United Artists and other respective production studios and distributors 12.  Google self-driving car project © Google 13.  Moral Machine © moralmachine.mit.edu 14.  Distracted dangerous driving © Paul Vasarhelyi 15.  Jimmy Fallon gadgetlab © wired.com 16.  Interdisciplinary AI © Intel Labs, Pradeep Dubey

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