Lecture

AI Ethics: Bias, Responsibility, and Accountability

In course

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Description

This lecture delves into the ethical considerations surrounding AI, focusing on bias in data sets, responsibility in algorithm design, and accountability for AI outcomes. The instructor discusses the importance of considering intersectionality, the impact of categories on fairness, and the need for justifications in decision-making processes.

Official source

https://mediaspace.epfl.ch/media/0_64g4363i

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Ontological neighbourhood

Information engineering

Artificial intelligence: Artificial general intelligence

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