Philosophy and Artificial Intelligence 2020
From NCOR Wiki
Jump to navigationJump to search
Philosophy and Artificial Intelligence
Draft Schedule
Readings
“Making AI Meaningful Again” [1]
“There is no General AI” [2]
Wed Feb 19 13:30-17:15 4h
- Introduction to philosophy for AI scientists
- A practical problem -- the need for consistently curated data
- How ontology can solve this problem
- The history of philosophy from an ontological perspective
- How philosophy can benefit AI science - the case of HL7
- Slides
Thu Feb 20 09:30 - 12:15 3h
- Searle's Chinese Room argument
- Intelligence vs. consciousness
- What is intelligence and what do intelligence tests measure?
- Driverless philosophy: How data science can help
- the history of philosophy
- to make progress in philosophy
- Readings:
- Slides
Fri Feb 21 09:30 - 12:15 3h
- The cycles of AI enthusiasm and AI winters
- Basic Formal Ontology (ISO/IEC 21838-2)
- Upper Level Ontologies
- DOLCE
- Slides
Tue May 19 14:30 - 17:15 3h
- There is no general AI
- The Turing test
- AI is a family of algorithms to automate repetitive events
- Deep neural networks have nothing to do with neurons
- AI is not artificial intelligence; it is a branch of mathematics in which the attempt is made to use the Turing machine to its limits by using gigantically large amounts of data
- The Turing test
- Slides
Student presentations
- Carola Calabrese: Universal Intelligence - A definition of Machine intelligence
- Lorenzo Bucci: Making AI Meaningful Again
- Emanuele Martinelli: Minds, Brains and Programs
- Vinicius Emmanuel Bloise: The Limits of Machine Intelligence
- Hrishikesh Gupta: Creativity and Artificial Intelligence
Wed May 20 9:30 - 12:15 3h
- AI and Transhumanism: Can we download the contents of our brains onto a computer and become immortal?
- https://buffalo.box.com/v/We-are-living-in-a-simulation Scott Adams: We are living in a simulation]
- AI and the meaning of life:
- AI and The Matrix
Student presentations
- Elia Claudio Esposito: Rationality and Intelligence
- Wei Huang: Solomonoff Prediction and Occam's Razor
- Andrea dell'Orso: The Elephant Doesn't Play Chess
- Michael Denzler: Artificial Life and the Chinese Room Argument
- Fabiana Ballarin: Alan Turing and the Mathematical Objection
- Alessandro Cecconi: Which Symbol Grounding Problem Should We Try to Solve?
Fri May 22 9:30 - 12:15 3h
- Affordances and the background of Artificial Intelligence
- Making AI Meaningful Again
- Applications of AI to intelligence analysis
- Case study: using sentiment analysis for the prediction of terrorist radicalization
Student presentations
- Hrittik Roy: Theoretical Implications of Machine Learning
- Xintan Lin: The Basic AI Drives
- David Limacher: Incorporating Ethics into Artificial Intelligence
- Tommaso Soriani: Mind Embodied and Embedded
- André Garcia Gomez: What to Do with the Singularity Paradox
Tue May 26 14:30 - 17:15 3h
- The problem of meaningful AI
- AI and intelligence analysis
- The Cognitive Process Ontology
- Warrant
Student presentations:
- Mauro Mario Gentile: Can Computer Based Human-Likeness Endanger Humanness?
- Sebastian Obrist: Does Ontology Rest on a Mistake?
- Eric Tremolanti: Why Machine Ethics?
- Marco Mirabello: In Defense of Truth: Skepticism, Morality, and The Matrix
- Michael Mazourik: The Social Dilemma ofAautonomous Vehicles
Wed May 27 14:30 - 17:15 3h
- Driverless philosophy / Philosophy on rails
Thu May 28 09:30 - 12:15 3h
- Dialogue with Jobst Landgrebe (Cognotekt, Cologne) on the Social Impact of AI
Further Background Reading
- Gerald J. Erion and Barry Smith, “In Defense of Truth: Skepticism, Morality, and The Matrix”, in W. Irwin (ed.), Philosophy and The Matrix, La Salle and Chicago: Open Court, 2002, 16–27.
- Max More and Natasha Vita-More (Eds.), The Transhumanist Reader: Classical and Contemporary Essays on the Science, Technology, and Philosophy of the Human Future, Wiley-Blackwell, 2013.
- Jobst Landgrebe and Barry Smith, “Making AI Meaningful Again”, Synthese, DOI 10.1007/s11229-019-02192-y
