This document provides a quick guide to artificial intelligence (AI). It defines AI as the attempt to remove boundaries between humans and machines. Examples of weak AI include chess-playing programs, while strong AI examples are IBM's Watson and Google's DeepMind. Machine learning allows machines to learn without explicit programming. Deep learning works similarly to how human brains work. AI systems are fed using big data. Key aspects of intelligence are recognition of patterns, prognosis, reasoning, problem-solving, perception, and language understanding. The future outlook discusses potential human-level and super-intelligent AI, as well as predictions that AI may outperform humans by 2048. Risks of advanced AI are also discussed.

1. A Quick Guide to
Artificial
Intelligence
GRIMUR FJELDSTED
CHIEF DIGITAL OFFICER
@GFjeldsted

2. Who am I?
CHIEF DIGITAL OFFICER
FOUNDER
ADVISOR

3. TRANSFORM XO
Corporate Transformation, Digitalisation & Innovation Management

4. Agenda
1. Brief Definition of Artificial Intelligence (AI)
2. Examples of AI
3. Future Outlook

5. Introduction
Artificial Intelligence is the
attempt to remove the
boundaries between
humans and machines

6. Weak AI
Kasparov vs. Deep Blue

7. Strong AI
IBM Watson, Google DeepMind

8. Machine Learning
Machine learning is a type of AI that provides
machines with the ability to learn without being
explicitly programmed - the ultimate goal is to
develop its own dynamics.
https://youtu.be/rVlhMGQgDkY

9. Deep Learning
DE3p Larenn1g mhica3ns wrok smliair to hOw biarns
wrok.

10. Deep Learning
Atari Breakout https://youtu.be/TmPfTpjtdgg

11. AI is hungry - how is it
fed?
Big data

12. What defines an
intelligent system?
1. Recognition of patterns:
Objects in camera recordings/images, facial
recognition, language.
2. Prognosis:
Anticipation and prediction that often turn in
recommendations.

13. Intelligence (simplified)
General Intelligence - learning that enables the learner to
be able to perform better in situations not previously
encountered
Reasoning - to draw conclusions based on the situation at
hand.
Problem Solving - find X, if given a certain starting point or
challenge.
Perception - analysing a scanned environment, features
and relationships between objects.
Language Understanding - by following syntax and similar
rules used by humans

14. General Intelligence
DeepMind by Google

15. Reasoning
Amazon Transactional AI

16. Reasoning
Netflix

17. Reasoning
Computer Games
Civilization 1, 1991 International Soccer, 1988

18. Reasoning
Computer Games
The Sims 4, 2014

19. Problem Solving
IBM Watson, Jeopardy 2011
AlphaGo, 2015

20. Problem Solving
Master Card

21. Problem Solving

22. Perception
Self-driving cars

23. Language
Understanding
Amy - x.ai

24. Language
Understanding
Amazon Echo

25. Gone wrong!
https://youtu.be/r5p0gqCIEa8

26. Future Outlook
HBO Westworld

27. Future Outlook
HBO Westworldhttps://youtu.be/MhSG5ZFX8Mg

28. Future Outlook
Ray Kurzweil

29. 1980’s - Snake Oil

30. Future Outlook
Human Performance
Artificial Intelligence
Mouse
Chimp
Genius
WTF?
Disappointment
Cave Man
Chaos/Amazement

31. Future Predictions
2027
The first AI starts in the
board of a corporation.

32. Future Predictions
2034
Artificial Intelligences claim
to be conscious and openly
petition for recognition of
this fact

33. Future Predictions
2048
AI surpasses human beings
as the smartest and most
capable life forms on the
planet.

34. “The future is already here - it’s just not evenly distributed”
— William Gibson

35. Let’s wait and see…
Vanity Fair
March 26, 2017

36. But when?

37. Steve Hawking
If a superior alien civilisation would send us a
message:
“We will arrive in a few decades”
Would our reaction be:
“OK - let us know, we will leave the lights on”
This is how we treat AI
“TO IGNORE OR UNDERESTIMATE THE RISKS OF AI - WOULD BE THE BIGGEST
MISTAKE IN THE HISTORY OF MANKIND”

38. Scenario: A Centralised
Cybernetic World Society
1. Gather as much data about everyone
2. Secure that data is captured randomly everywhere
3. Control people:
• through manipulation of their decisions
• through punishment mechanism
• through rewarding mechanism

39. “I don’t want to live in a world, where
someone else makes the world a
better place than we do”
HBO, Silicon Valley

40. @gfjeldsted
grimur@transformxo.com
transformxo.com
linkedin.com/grimurfjeldsted
Thank You
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GRIMUR FJELDSTED
CHIEF DIGITAL OFFICER