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