Table of contents

The course is connected to the following study programs

  • Applied Artificial Intelligence 1, one-semester programme

Teaching language

English

Recommended previous knowledge

IKT116N Introduction to Artificial Intelligence

Learning outcomes

Upon successful completion of the course, students will be able to:

  • Analyze ethical dilemmas in AI deployment.
  • Critique the fairness and accountability of AI systems.
  • Propose strategies to mitigate bias and increase transparency.
  • Evaluate the social impact of AI technologies.

Contents

This course explores the ethical dimensions of artificial intelligence, focusing on issues of fairness, accountability, and transparency. Students will examine real-world cases of AI bias, data privacy breaches, and algorithmic discrimination, and they will learn strategies to mitigate these risks. The course encourages critical thinking about the social impact of AI and the role of policy and regulation in promoting responsible AI use. Students will also consider the long-term consequences of AI on employment, democracy, and human rights.

Teaching and learning methods

The course is given online and is organized in combination of lectures, assignments, paper studies, labs, report writing and self-study. The tasks are done individually or in small groups with group supervision. The workload for the average student is approximately 135 hours.

Examinations

Graded portfolio assessment, individually or in groups. Groups are given joint grades. Information about the content of the portfolio will be given in Canvas at the start of the semester.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as a free-standing course

Yes
Last updated from FS (Felles studentsystem) Oct. 15, 2026 8:59:25 AM