About the course

Course content

The course is designed for the undergraduate level and welcomes all students with an interest in Artificial Intelligence (AI). It does not require previous knowledge of AI technologies, ethics, policy-making, or everyday politics. This course is intended to fill the gap in English curriculum bachelor’s level education within Swedish universities which addresses the topics of AI technologies and their everyday ethical implications within society as well as policy-making processes. Students will be asked to consider the ethical position of the everyday in relation to existent and emerging AI technologies within global and transnational societies, as well as how the policy sciences help us understand the role of regulation.

This course adopts an interdisciplinary body of research to develop the current and future societal implications, through an approach to the everyday and transnational context of digitalization. The aim of this course is to provide students with a general understanding of the ethical issues around AI and their societal impacts, as well as policy-making, without the need for intensive knowledge of the technologies. The course explores the topic of Ethics and policy in AI through the themes of citizenship, data capitalism, legislation, discrimination, trustworthiness, peace and conflict, discourse determination and future technologies.

Syllabus and course literature

You can find a list of literature in the syllabus, along with other details about the course.

Entry requirements and selection

Entry requirements

General entry requirements + English 6. 30 credits (ECTS) completed courses


University credits completed 100%

Course evaluation

Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).


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