Description
Generative AI is an exciting tool, but it also raises philosophical and ethical questions. For example, if people (e.g. students) rely very
heavily on generative AI to produce outputs such as texts, do they still
deserve the same kind of credit (e.g. a good grade) as they would if
they had written the text without any reliance on generative AI? What
happens to authorship in the age of AI? This presentation will argue
that there are interesting gaps with respect to meaning, authorship, and
credit and blame when people rely heavily on generative AI to produce
texts, images, or other outputs.
Speaker
Sven Nyholm is Professor of the Ethics of Artificial Intelligence at LMU Munich. He is also Principal Investigator for AI ethics at the Munich
Center for Machine Learning. His most recent book is This is Technology
Ethics: an Introduction, which was published by Wiley-Blackwell in 2023.
heavily on generative AI to produce outputs such as texts, do they still
deserve the same kind of credit (e.g. a good grade) as they would if
they had written the text without any reliance on generative AI? What
happens to authorship in the age of AI? This presentation will argue
that there are interesting gaps with respect to meaning, authorship, and
credit and blame when people rely heavily on generative AI to produce
texts, images, or other outputs.
Speaker
Sven Nyholm is Professor of the Ethics of Artificial Intelligence at LMU Munich. He is also Principal Investigator for AI ethics at the Munich
Center for Machine Learning. His most recent book is This is Technology
Ethics: an Introduction, which was published by Wiley-Blackwell in 2023.
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