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Artificial Intelligence: Opportunity or threat?
Jiří Vokřínek Centre for Artificial Intelligence
Department of Computer Science
FEE, CTU in Prague
I, Robot, e.conomia events, November 8, 2017
Are We Afraid?
• 1920 R.U.R.
• 1942 Asimov’s The Three Laws (of Robotics)
• 1968 Do Androids Dream of Electric Sheep?
(Blade Runner, 1982, 2017)
• 1997 Skynet (Terminator)
• 1999 Matrix
• … artificial beings are with us for ages in culture
Are We Afraid?
• 1920 R.U.R.
• 1942 Asimov’s The Three Laws (of Robotics)
• 1968 Do Androids Dream of Electric Sheep?
(Blade Runner, 1982, 2017)
• 1997 Skynet (Terminator)
• 1999 Matrix
• … artificial beings are with us for ages in culture
1997 2007 2011 2015 2017
Chess Othello
Checkers
Jeopardy!
No-Limit Texas Hold’em Poker
Go
Artificial Intelligence is a family of technologies and scientific field that
allows/studies automation, acceleration and extreme scalability of
human perception, decision making and reasoning
A Narrow I → A Extended I → A General I → A Super I
A Narrow I → A Extended I → A General I → A Super I
What AI Is Technically?
• Machine learning & big data analysis
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
• Multiagent simulation and virtual/augmented reality
What AI Is Technically?
• Machine learning & big data analysis
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
• Multiagent simulation and virtual/augmented reality
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
3,287 extra lives every day | 1.3 million extra lives every year
101 minutes of extra time every day | 25.6 extra days every year
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning & big data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning, data analysis → machine perception
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning, data analysis → machine perception
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning, data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
What AI Is Technically?
• Machine learning, data analysis
• Multiagent simulation and virtual/augmented reality
• Planning, sequential decision making, optimisation
• Game theory, combinatorial auctions, game playing
2017 AI Success Stories: Examples
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016:
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D | – acquisitions
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016:
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016:
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016: $8B - $12B
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016: $8B - $12B
– machine learning
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016: $8B - $12B
– 60% machine learning
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016: $8B - $12B
– 60% machine learning
• AI spent: geographical distribution
McKinsey's State Of Machine Learning And AI, 2017
• total spent in AI by tech giants in 2016: $20B - $30B
– internal R&D 90% | – acquisitions 10%
• total spent in AI by startups 2016: $6B - $9B
• total external investment in AI in 2016: $8B - $12B
– 60% machine learning
• AI spent: geographical distribution
– US 66% | – China 17% | – rest of the world 17%
• CyberSecurity
• Transport & Logistics
• Internet of Things
• Home & Buildings & Cities
• Manufacturing
• Virtual & Augmented Reality
• Journalism & Automated Content
• Fintech, Insurance, Legal
• Medicine
• Education
Artificial Intelligence 2017 - 2027
Next BIG thing in AI:
Next BIG thing in AI: AI Explainability
credit DARPA
Next BIG thing in AI: Simulated Worlds
Challenges of AI in 2020 and Beyond
1. AI Monopoly & Manipulation
2. Security and Privacy
3. Regulation and Oversight
4. Jobs and Social System
Up to 47 percent of jobs in 20 years will go, 3.8 million US jobs are related to driving
AI would replace: 83% of jobs paying < $20/hour and 4% of jobs paying >$40/hour
Opportunity or threat?
