Descriptif
"Ethical challenges of Artificial Intelligence" explores AI Ethics from multiple disciplinary perspectives: legal, ethics, and computer science. The course wil provide students with the necessary background to discuss and defend ethics issues with stakeholders who may be involved in their AI project, as well as address ethics issues in their research.
Taught by Winston Maxwell, the course will focus on the law, regulatory and policy environment. Is AI Ethics just about applying existing law, incuding the EU General Data Protection Regulation and the European Convention on Human Rights?
What do "ethical AI principles" such as the Asilomar principles bring to the table? The course will focus on algorithmic explainability, bias, discrimination, with use cases involving facial recognition, use of algorithms to detect terrorist risks and fraud, AÏ used in employment, self-driving vehicles, autonomous lethal weapons, and Al-enhanced humans. Students will learn the basics of the GDPR and of the proposed European Artificial Inteligence Act, and why machine learning poses special legal and ethical problems compared to symbolic AI.
Diplôme(s) concerné(s)
Parcours de rattachement
Objectifs de développement durable
ODD 5 Egalité entre les sexes, ODD 7 Energie propre et d’un coût abordable, ODD 9 Industrie, Innovation et Infrastructure, ODD 10 Inégalités réduites, ODD 12 Consommation et production responsables, ODD 16 Paix, justice et institutions efficaces.Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Data and Economics for Public Policy (DEPP)
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 3 ECTS
La note obtenue rentre dans le calcul de votre GPA.