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Philosophy of Artificial Intelligence

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History, current development
Mind–body problem
Other impacts on philosophy
Themes of practical ethics
Relationship between robot ethics and machine ethics

Published in: Science
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Philosophy of Artificial Intelligence

  1. 1. Philosophy of Artificial Intelligence A brief summary Juho Vaiste
  2. 2. History - Leibniz, Descartes - 1940’s: Turing’s work - 1956: Dartmouth Workshop defining the modern field of AI - 1959: McCarthy’s logical AI 1965: I. J. Good, superintelligence and intelligence explosion - 1969: The Ernst-Newell-Simon General Problem Solver - 1987: Machine ethics, "A Question of Responsibility" by Mitchell Waldrop
  3. 3. Current Probability to achieve human-level intelligence. Bostrom: Superintelligence.
  4. 4. Hype? Possibly not. - Breaking “the AI effect” in 2017 - What is developed, it is not considered AI anymore - Broad effect of digilization and AI/ML solutions - Funding and investments
  5. 5. Hype? Existence Proofs of AI Low-Level Appearances and Attributions Theorem Proving and Mathematical Discovery Game Playing Planning Robots Knowledge Representation (KR) Machine Learning (ML) Neural Networks and Connectionism Natural Language Processing (NLP)
  6. 6. -
  7. 7. Current development - Reinforcement learning: Mastering in GO without taught by human - Learning things not intended: strategical thinking, killing - Development of robotics - Consciousness robots - Dominance in mathematical reasoning - Creativity: art and encoding the creative processes - Computer vision - Natural language processing
  8. 8. Can a machine think? - Making moral decisions and actions - Feeling pain - Creating art and thinking strategically - Doing things not intended or planned - Replicating emotions - Approaching level where the only question is consciousness/qualia - Easy problems of consciousness (Chalmers)
  9. 9. Are they really thinking? -
  10. 10. Other impacts on philosophy - Metaphysics: The last battle against physicalism - Metaethics: A big data collection of rules, probabilities and choices - Social and political philosophy: economy, rights, meaning - Breakthroughs in philosophy by a superintelligent agent - Affecting quite a lot
  11. 11. My interest areas - Themes of practical ethics - Relationship between machine ethics and robot ethics - Critic towards relativistic idea of society, morality and humanity
  12. 12. Themes of practical ethics - Data centralization and privacy - Safety and security - Algorithms biases - Distribution of income - Effects on human life - The first 3: Ethical risks - The last 2: Choices we are going to make
  13. 13. Relationship between robot ethics and machine ethics - Robot ethics: How should we treat the robots? - Machine ethics: How we build ethical AI/robots? - Adding the concept of superintelligence - What kind of rights we will give to a species superior to us?
  14. 14. Critic towards relativistic idea of society, morality and humanity - Related to the last slide - Is there a reason to preserve a biological human being? - Building the next level of “the spirituality of humanity” - A construct I can’t explain yet - “Come out of the stage, there’s a philosophical symposium going on”
  15. 15. Discussion Ps. Searching for cofounders for aiethicist.com project Ping me later or @juhovaiste

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