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Ethics of AI and interactive autonomous systems2021HT
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Course plan
No of lectures
6-8 seminars (exact number depends on number of participants)
Recommended for
The course is mainly intended for PhD students in cognitive science, computer science, design, and related disciplines.
The course was last given
The course was given as a PhD course (10 participants) autumn 2020. It was also given, in a slightly different form, as a separate masters course for cognitive science masters students (7 participants) autumn 2020.
Goals
The main goal is to familiarize students with ethical issues relevant to AI in general - and in particular human interaction with autonomous technologies, such as social robots or automated vehicles.
Prerequisites
Some background in cognitive science, artificial intelligence, and/or human-computer interaction.
Organization
The course mainly consists of student presentations and seminars discussing background literature and recent articles.
Contents
The course addresses different ethical issues relevant to AI, with a focus on human interaction with autonomous technologies, such as social robots and automated vehicles. The course combines background literature on different ethical theories and frameworks with recent articles on current research issues (e.g. explainable AI) and current debates of societal relevance (e.g. autonomous weapon systems).
Literature
Coeckelbergh M (2020). AI Ethics. MIT Press.
+ recent research articles
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory student presentations, active participation in seminar discussions, and coursework.
Credit
6 ho
Comments
Page responsible: Director of Graduate Studies
