Tentalabbet

721G28 · 7.5 credits · Basic level (G1N) · Tillämpad etik

Ethics of Artificial Intelligence

Active · next start HT 2026

100%

passed the latest ordinary exam

EXAM · 5 Jun 2026 · 30 students

99%

passed the ordinary exams, all sittings over the last 5 years

EXAM · 266 students

3%

Harder than 3% of courses at basic level

Compared with 874 courses at the same level, ordinary exams over the last three academic years. 133 students.

Exam

EXAM Examination

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Ordinary exams

99% passed · 266 students

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Re-exams

99% passed · 104 students

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  • Pass the re-exam: 99% (104 students), compared with 99% (266 students) on the ordinary exam
  • Get B or A: 66% (370 students)
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Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

SEMI Seminars

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Main rounds

100% passed · 297 students

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Later rounds

100% passed · 85 students

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  • Pass a later round: 100% (85 students), compared with 100% (297 students) on the ordinary exam
Show small sittings (17)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

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About the course

Aim

Having completed course, the student should at a basic level be able to: - provide an account for concepts, theories and problem within applied ethics and the ethics of artificial intelligence (AI), - develop a theoretically informed argumentation in specific problem areas related to AI, - formulate theory-based political recommendations and assessments regarding a moral issue related to AI in a particular professional area, - express an open and critical stance to claims and arguments.

Content

The course deals with ethical questions that rise from the development of more and more sophisticated autonomous systems, questions of what requirements that should hold for the technology and why included, which sort of agents artificial systems are, if these can be considered moral agents and if they can be ascribed moral responsibility as well as where the main responsibility for artificial intelligence (AI) ought to be placed and why. The course focuses three main areas of moral relevance for autonomous systems and AI: responsibility for decisions made by artificial agents, bias/discrimination as a result of AI use and the importance of participation in the development of AI systems. During this course, students are provided theoretical tools for reflection on the development of AI, requirements that ought to made regarding this technology and how it ought to be managed in society.

Examiner
Elin Palm, Adam Robert Briggle
Main field of study
Tillämpad etik
Syllabus on Studieinfo ↗