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.

1. Miel Vander Sande | IDLab – imec Prototyping
Machines are the new
Digital Natives

4. Machine
intelligence is not
Human intelligence
Major challenge for
User experience
Crucial for AI’s
societal adoption

5. 01
Determine machine behaviour

6. When do we want
Asymmetrical AI?

7. Or rather
Symmetrical AI?

8. Player Bad guys

9. Artificial Intelligence
doesn’t always need to be
sensible
Users need to know what to expect

10. To machines, knowledge is also power
Data

11. 10Democratize knowledge
for machines

12. Quality depends greatly on
the amount of accessible knowledge

13. Annotate the Web to be
Machine understandable
Autonomous discovery and consumption of
distributed data

14. What are good business models for
distributed knowledge?

15. 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"

16. Find the consensus derived “best self”

17. 11Reconcile moral values and
personal self-interest

18. Can we trust machines?

19. We want everyone else in an ethical car

20. But would you buy one?

21. Machines will
make different
mistakes and
brutal decisions
How to accept
that in society?

22. Determine machine
behaviour
Democratize knowledge
for machines
Reconcile moral values and
personal self-interest
01
10
11

23. User Experience for AI is an
interdisciplinary task
Start talking!

24. @Miel_vds | IDLab – imec Prototyping
Machines are the new
Digital Natives

25. 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