TGTU99 · 6 credits · Advanced level (A1N) · Informationsteknologi, Datateknik, Datavetenskap
Ethical Issues in AI
Active · next start HT 2026
100%
passed the latest regular sitting
SEM1 · 16 Jan 2026 · 75 students
100%
passed the regular sittings, all sittings over the last 5 years
SEM1 · 117 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 3 programmes
Hand-in or lab
SEM1 Active participation on seminars
- G
Main rounds
100% passed · 117 students
- 100%75
- 100%42
Later rounds
No sittings with at least 5 students.
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Individual written assignment
- 5
- 4
- 3
Main rounds
100% passed · 110 students
- 100%69
- 100%41
Later rounds
No sittings with at least 5 students.
- Get 4 or 5: 76% (110 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%2
About the course
Aim
After completing the course, the student will be able to:
- describe concepts, theories and problems in the field of applied ethics and the ethics of artificial intelligence (AI)
- develop a theoretically based reasoning in problem areas related to AI
- formulate theory-based recommendations and assessments of a moral question related to AI in a professional environment
Content
The course deals with ethical issues raised by the development of increasingly sophisticated autonomous systems, including which demands can be placed on this technology and why, the different kinds of agents that artificial systems become, whether these systems can be characterized as moral agents and whether they can be held responsible for their actions, and how the overall responsibility for artificial intelligence (AI) should be handled and why. The course places focus on four main topics of moral relevance for autonomous systems and AI: responsibility for decisions made by artificial agents, bias/discrimination as result of using AI, the importance of participation in the development of AI-systems, and how we can ensure that AI implements human values and not other interests. The course takes up theoretical tools for reflecting on ethical implications of developments within AI, which demands can be placed on this type of technology, and how it can be handled by society.
- Scheduled hours
- 0 h
- Main field of study
- Informationsteknologi, Datateknik, Datavetenskap