Critical perspectives on AI2022VT
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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, and related disciplines (but see also Prerequisites below).
The course was last given
The course has not been given before.
Goals
The main goal is to familiarize students with critical perspectives addressing limitations, risks, misperceptions, etc. of AI research and technology.
Prerequisites
Some background in artificial intelligence, cognitive science, and/or human-computer interaction. Students do not necessarily need much technology/computing background, though, so PhD students who have a strong interest in AI, but come from other research areas (e.g. STS, or applications of AI in education, healthcare, etc.), are certainly also welcome.
Organization
The course mainly consists of discussion seminars and student presentations.
Contents
The course consists of:
- one introductory lecture/seminar that goes through 'old' criticisms of AI
discussed in the 1960s-90s (e.g. frame problem, common sense problem, symbol
grounding problem)
- 5 seminars discussing 5 recent books (2019-2021) that address critical
perspectives on AI (see Literature for details)
Literature
The course literature mainly consists of the following 5 books:
Aylett & Vargas (2021). Living with Robots: What every anxious human needs to
know. MIT Press.
Crawford (2021). Atlas of AI: Power, politics, and the planetary costs of
artificial intelligence. Yale University Press.
Russell (2019). Human Compatible: Artificial intelligence and the problem of
control. Viking Press.
Smith (2019). The Promise of Artificial Intelligence: Reckoning and judgement.
MIT Press.
Strengers & Kennedy (2020). The Smart Wife: Why Siri, Alexa, and other smart
home devices need a feminist reboot. MIT Press.
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory student presentations, active participation in seminar discussions, and some written coursework.
Credit
6 hp
Comments
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