Technologische innovaties gaan tegenwoordig met een exponentiele groei, mensen zijn lineair en kunnen die snelle veranderingen niet aan. Dit leidt tot steeds meer maatschappelijk ongemak en ongenoegen. Daarom zal onze maatschappij geen andere keuze hebben dan een figuurlijk hek te zetten rond al deze nieuwe technologische mogelijkheden. Toekomstige innovaties uit de wereld van de Artificial Intelligence zullen hier rekening mee moeten houden. Dit is wat we Augmented Intelligence noemen. In deze korte presentatie hebik 4 juni 2019 eenpresentatie gegeven bij Active Professionals in Rotterdam. Hierin heb ik uitgelegd waar deze snelle veranderingen ineens vandaan komen en welke aanvullende reguleringen en veranderingen we voor 2030 kunnen verwachten.

1. Augmented Intelligence:
and the impact on your world in 2030
Prof dr ir Jan C. Scholtes

2. Johannes (Jan) C. Scholtes

3. The world is radically changing
SLIDE / 3

4. SLIDE / 4
Shifting balance of power

5. SLIDE / 5
Environmental change

6. SLIDE / 6
Energy transition

7. SLIDE / 7

8. SLIDE / 8
Population change

9. SLIDE / 9
From products…

10. SLIDE / 10
… to services

11. With the Internet, asymmetry of information is gone
SLIDE / 11

12. SLIDE / 12
New business models

13. SLIDE / 13
These new business models are not
only disrupting for the business, but
also lead to several social side
effects.

14. SLIDE / 14
With humans: change takes a generation to adopt

15. How the US labor market changed in 150 years …

16. But, now we change is faster than ever …
SLIDE / 16

17. SLIDE / 17
New innovations only good for a few years

18. SLIDE / 18
Different balance of duties & rights

19. SLIDE / 19
The company of the future?

20. Traditional service companies have to change
• How to stay relevant?
• Changing business models
• New competition, alternative
service providers, new
technology providers.

21. Governments do not know what to do …
• Law makers cannot keep up
with technology change
• Population cannot keep up
with change
• Populist parties benefit and
win the votes
• Scattered political
landscape
• More indecisiveness

22. SLIDE / 22
Remember this …

23. SLIDE / 23
Today, holograms are for real

24. SLIDE / 24

25. SLIDE / 25
Teleportation

26. SLIDE / 26
Quantum computers

27. The question of whether a
computer can think is no more
interesting than the question of
whether a submarine can swim.-
Edsger Dijkstra
Can computers think?

28. The development of AI over the years
SLIDE / 28
Brute force computer power
(evaluate 200 million positions
per second!). Algorithms
explicitly programmed by
check experts.
Massive information retrieval
(four terabytes of information).
Little learning or reasoning.
Based on (deep) machine-
learning. Started with games
from professional players.
Learned further from playing
30 million games against itself.

29. This is only the beginning …
SLIDE / 29

30. SLIDE / 30

31. Drones
Robotics
Autonomous Vehicles
Oculus Rift / VR
Augmented Reality
3D printing
eHealth
LegalTech
SLIDE / 31
Just a few technologies that grow exponentially
Computer power
Computer memory
(Mobile) network speed
Artificial Intelligence
Genomics
Internet of Things
Domotics
Wearables

32. Where does exponential growth come from ?
61 years of
exponential data
growth

33. TO THE MOON
AND BACK ON
4KB OF MEMORY
SLIDE / 33

34. SLIDE / 34
Technology cost decimation

35. Exponential growth is very deceptive

36. Technology is exponential, humans are not!

39. How to deal with bias?
Source: https://medium.com/@darrenyaoyao.huang/do-you-ever-consider-the-gender-bias-issue-in-
machine-learning-f7847b3fe1aa

40. Computers are ruthless… fruit picking game
• Google’s AI got “highly
aggressive” when
competition got
stressful in a fruit-
picking game.
• Shoot other players at
beginning of game.

41. Strength
Strength and Weakness of AI
Memory
Speed
Force
Vision
Sensory
Weakness
Judgement
Knowledge
Dealing with
uncertainty
and
unexpected
behavior
Creativity
Avoiding bias
Morality &
ethics

42. FROM ARTIFICIAL INTELLIGENCE TO
AUGMENTED INTELLIGENCE
Defensibility
Control

43. So, how will our world look in 2030?

44. Fast change requires transparency

45. Trust to have society accept these changes
SLIDE / 45

46. SLIDE / 46
More regulations to protect us against technology

47. Cyber security is part of this trust
SLIDE / 47

48. Information requests are part of the trust…
SLIDE / 48
• FOIA (WOB)
• Audits
Internal Investigations
• Litigation
• Arbitration
• Regulatory Requests
• Subject Access
Requests
eDiscovery

49. Regulatory oversight for those who do not listen

50. Whistleblowers for what they miss …
SLIDE / 50

51. Ask yourself: how can we add value to society?
SLIDE / 51

52. What is your business value in 2030?
SLIDE / 52

53. Analytics are essential
SLIDE / 53
• Analytics
• Data Enrichment
• Strategic Decision
Support
• Data Visualization
• Anomaly Detection

54. SLIDE / 54
Take a Different Approach… be open to technological changes

55. SLIDE / 55
Is this our future?

56. SLIDE / 56
solve my problem
Or this?

57. Or this .. how augmented do you want to go?

58. ROBOTS FALLING DOWN DARPA ROBOTICS CHALLENGE: HTTPS://WWW.YOUTUBE.COM/WATCH?V=G0TAYHJPOFO&FEATURE=YOUTU.BE

59. Thank you!
Time for Q&A
Prof dr ir Jan C. Scholtes
https://www.linkedin.com/in/jscholtes/
www.textmining.nu