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Philosophy of
Artificial Intelligence
A brief summary
Juho Vaiste
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
Current
Probability to achieve human-level intelligence. Bostrom: Superintelligence.
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
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)
-
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
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)
Are they really thinking?
-
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
My interest areas
- Themes of practical ethics
- Relationship between machine ethics and robot ethics
- Critic towards relativistic idea of society, morality and
humanity
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
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?
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”
Discussion
Ps.
Searching for cofounders for aiethicist.com project
Ping me later or @juhovaiste

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Philosophy of Artificial Intelligence

  • 1. Philosophy of Artificial Intelligence A brief summary Juho Vaiste
  • 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. Current Probability to achieve human-level intelligence. Bostrom: Superintelligence.
  • 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. 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. -
  • 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. 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. Are they really thinking? -
  • 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. My interest areas - Themes of practical ethics - Relationship between machine ethics and robot ethics - Critic towards relativistic idea of society, morality and humanity
  • 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. 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. 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. Discussion Ps. Searching for cofounders for aiethicist.com project Ping me later or @juhovaiste