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Ethics of AI and interactive autonomous systems2020HT
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Course plan
No of lectures
Approximately 10 lectures/seminars (exact number depends on number of participants)
Recommended for
The course is mainly intended for PhD students (and masters students) in cognitive science, computer science, and related disciplines.
The course was last given
Has not been given before.
Goals
The main goal is to familiarize students with different ethical issues, theories and models relevant to artificial intelligence - and in particular human interaction with autonomous technologies, such as social robots, virtual agents, 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 classical literature and recent articles.
Contents
The course addresses different ethical issues, theories and models relevant to artificial intelligence, with a focus on human interaction with autonomous technologies, such as social robots, virtual agents, or automated vehicles. The course combines classical 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
Classical literature and recent articles.
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory student presentations, active participation in seminar discussions, and coursework.
Credit
7.5 hp
Comments
Page responsible: Director of Graduate Studies
