Philosophy and Artificial Intelligence 2020: Difference between revisions
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==Thu May 14 15:30 - 18:15 3h== | ==Thu May 14 15:30 - 18:15 3h== | ||
:Wittgenstein and the Turing Test. Part 1 | :Wittgenstein and the Turing Test. Part 1 | ||
:[https://buffalo.box.com/v/Wittgenstein- | :[https://buffalo.box.com/v/Wittgenstein-Turing-1 Slides] | ||
::The Turing test | ::The Turing test | ||
:::AI is a family of algorithms to automate repetitive events | :::AI is a family of algorithms to automate repetitive events | ||
Latest revision as of 15:11, 23 September 2020
Philosophy and Artificial Intelligence
Barry Smith
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
Thu May 14 15:30 - 18:15 3h
- Wittgenstein and the Turing Test. Part 1
- Slides
- 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
- Paper:There is no general AI
Student presentations
- Carola Calabrese: Universal Intelligence - A definition of Machine intelligence
- [3]
- Lorenzo Bucci: Making AI Meaningful Again
- [4]
- Emanuele Martinelli: Minds, Brains and Programs
- [5]
- Vinicius Emmanuel Bloise: The Limits of Machine Intelligence
- [6]
- Hrishikesh Gupta: Creativity and Artificial Intelligence
- [7]
Fri May 15 15:30 - 18:15 3h
- Wittgenstein and the Turing Test: Part 2
Student presentations
- Elia Claudio Esposito: Rationality and Intelligence
- [8]
- Wei Huang: Solomonoff Induction Violates Nicod's Criterion
- [9]
- Andrea dell'Orso: The Elephant Doesn't Play Chess
- [10]
- Michael Denzler: Artificial Life and the Chinese Room Argument
- [11]
- Fabiana Ballarin: Alan Turing and the Mathematical Objection
- [12]
- Marco Marabello: In Defense of Truth: Skepticism, Morality, and The Matrix
- [13]
Tue May 19 14:30 - 17:15 3h
- Wittgenstein and Turing. Part 3. Dialogue, Transhumanism and Identity: Can we download the contents of our brains onto a computer and become immortal?
- Slides
- Scott Adams: We are living in a simulation
- AI and the meaning of life:
- AI and The Matrix
- Slides
- Affordances and the background of Artificial Intelligence
- Making AI Meaningful Again
- The Emotion Ontology - Part 1
- Slides
- Applications of AI to intelligence analysis
- Case study: using sentiment analysis for the prediction of terrorist radicalization
- Applications of AI to intelligence analysis
Student presentations
- Hrittik Roy: Theoretical Impediments to Machine Learning: The Role of Causal Modelling
- [14]
- David Limacher: Incorporating Ethics into Artificial Intelligence
- [15]
- Tommaso Soriani: Mind Embodied and Embedded
- [16]
- André Garcia Gomez: What to Do with the Singularity Paradox
- [17]
Wed May 20 15:30 - 18:15 3h
- Slides
- Basic Emotions
- Aesthetic Emotions
- Disease Ontology
- Infectious Disease Ontology
- COVID-19 Ontology
- 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?
- [18]
- Eric Tremolanti: Why Machine Ethics?
- [19]
- Michael Mazourik: The Social Dilemma of Autonomous Vehicles
- Alessandro Cecconi: Which Symbol Grounding Problem Should We Try to Solve?
- [20]
Tue May 26 14:30 - 17:15 3h
- Language+
- An Ontology of Terrorism
- Sentiment Analysis
- An Ontology of Language
- Language+Behaviour
- Language+Violence
- Slides
Wed May 27 14:30 - 17:15 3h
- Dialogue with Jobst Landgrebe (Cognotekt, Cologne)
- 1. AI and the Mathematics of Complex Systems
- 2. AI and the Ontology of Power
Jobst Landgrebe is the founder and CEO of Cognotekt, GmBH, an AI company based in Cologne specialised in the design and implementation of holistic AI solutions. He has 16 years experience in AI field, 8 years as a management consultant and software architect. He has also worked as a physician and mathematician.
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
