Philosophy and Artificial Intelligence 2020

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

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

Tue 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 Cluadio 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

Fri May 22 9:30 - 12:15 3h

Affordances and the background of Artificial Intelligence

Making AI Meaningful Again

Basic Formal Ontology (ISO/IEC 21838-2)

The origins of Basic Formal Ontology

Why should an ontology become an ISO standard?

What you can do with BFO in philosophy

How ontologies are used in information and data science

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

Mazourik Michael: 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