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
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
Making AI Meaningful Again

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

Why Turing Machines Cannot Pass the Turing Test

Fri May 22 15:30 -> 18:15 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

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


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