Philosophy and Artificial Intelligence 2020

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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:
There is no general AI
Humanness
Slides

Fri Feb 21 09:30 - 12:15 3h

The cycles of AI enthusiasm and AI winters
Making AI Meaningful Again
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
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

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