Philosophy and Artificial Intelligence 2020
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Philosophy and Artificial Intelligence
Draft Schedule
Wed Feb 19 14:30 - 17:15 3h
- General introduction
- The philosophical background of AI
- Turing's test and Searle's Chinese Room argument
- Intelligence vs. consciousness
- What is intelligence and what do intelligence tests measure?
- 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
- Intelligence vs. consciousness
- General AI vs. Narrow AI
- Reading: There is no general AI
Thu Feb 20 09:30 - 12:15 3h
- The role of ontology
- How ontologies are used in information and data science
- The Ontology of Emotions, with applications to datamining
- Ontology of Language, Ontology of Terrorism, Ontology of Obligations
Fri Feb 21 09:30 - 12:15 3h
- Affordances and the background of Artificial Intelligence
Tue May 19 14:30 - 17:15 3h
- AI and Transhumanism: Can we download the contents of our brains onto a computer and become immortal?
- AI and the meaning of life:
- AI and The Matrix
Wed May 20 09:30 - 12:15 3h
Fri May 22 9:30 - 12:15 3h
- Artificial intelligence and digital manufacturing
Tue May 26 14:30 - 17:15 3h
- The problem of meaningful AI
- AI and intelligence analysis
- The Cognitive Process Ontology
- Warrant
Wed May 27 13:30 - 17:00 4h
- Driverless philosophy
Thu May 28 09:30 - 12:15 3h
- Dialogue with Jobst Landgrebe (Cognotekt, Cologne) on the Social Impact of AI
Further Background Reading
Jordan Peterson's Essay Writing Guide
- 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