Teaching Offer at the Professorship of Societal Computing
(SOT86074) Aligning Generative AI to Social Values (part of 6 ECTS module)
seminar
This module explores the intersection of generative AI and social values, focusing on ethical considerations, bias mitigation, and the development of AI systems that reflect diverse societal values. Students will engage with theoretical frameworks, practical tools, and case studies to understand and address the ethical challenges in generative AI.
(SOT86097, SOT86074) Aligning Generative AI to Social Values
lecture
This module explores the intersection of generative AI and social values, focusing on ethical considerations, bias mitigation, and the development of AI systems that reflect diverse societal values. Students will engage with theoretical frameworks, practical tools, and case studies to understand and address the ethical challenges in generative AI.
PhD Colloquium - Societal Computing
colloquium (free subject)
(SOT86065) Machine Learning and Society (6 ECTS)
lecture
This lecture sheds light into the profound impact of machine learning (ML) on society, emphasizing the ethical, societal, and technical challenges posed by advanced algorithms. It aims to equip students with a critical understanding of the implications of ML technologies and the responsibility of practitioners in this field.
(SOT86065) Machine Learning and Society (part of 6 ECTS module)
seminar
This lecture sheds light into the profound impact of machine learning (ML) on society, emphasizing the ethical, societal, and technical challenges posed by advanced algorithms. It aims to equip students with a critical understanding of the implications of ML technologies and the responsibility of practitioners in this field.
(SOT86066) Machine Learning and Society (lecture for 3 ECTS)
This lecture sheds light into the profound impact of machine learning (ML) on society, emphasizing the ethical, societal, and technical challenges posed by advanced algorithms. It aims to equip students with a critical understanding of the implications of ML technologies and the responsibility of practitioners in this field.