Quick Guide to AI
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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.
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Quick Guide to AI
- 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
- 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
- 21. Problem Solving
- 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