Legal and Ethical Implications of Machine Learning

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Description

This lecture covers the legal and ethical landscape of machine learning, including topics such as the obligation to verify credit capacity, risks related to data and AI outcomes, Swiss and European data protection laws, explainability in AI decision-making, personalized advertising, liability in autonomous vehicles, and ethical considerations in AI applications. It also discusses the importance of trust in AI technologies and proposes solutions like independent data usage audits. The lecture concludes by encouraging the audience to engage with the presented content.

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https://mediaspace.epfl.ch/media/0_gm4u5pua

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