Event Timeslots (1)
Tuesday
-
(Dortmund cooperation seminar)
Location: Emil-Frigge-Straße 50, 2.242.
The seminar will investigate artificial intelligence from an epistemological angle. One focus of the seminar will be on the question of black box AI systems: Why is it difficult to understand many modern AI systems? What tools can help us make AI systems more transparent? What follows from the black box nature of some systems for our ability to know on their basis? Further, we will investigate whether (or under what circumstances) we can trust AI systems, such as Large Language Models, as givers of testimony. Is this analogous to our trust in experts? Or should we conceive of it in a very different way? A third focus will concern the use of data by AI systems, and how this might conflict with the privacy of users. How should the interests of tech companies and of users be balanced? We will highlight the ethical impact of these and similar epistemological questions.
Literature: Claus Beisbart and Tim Räz (2022). Philosophy of science at sea: Clarifying the interpretability of machine learning. Philosophy Compass 17(6), e12830. https://doi.org/10.1111/phc3.12830
Sina Fazelpour and David Danks (2021). Algorithmic bias: Senses, sources, solutions. Philosophy Compass 16(8), e12760. https://doi.org/10.1111/phc3.12760