Forskingstema i kunstig intelligens og etikk



Mål og innhald

AI ethics is the common reference to a collection of sub-fields in AI developed to respond to the issues of how to manage the moral, personal and societal impact of replacing people tasks and roles with AI powered computing. AI Ethics comprises of four main research sub-disciplines: fair-accountable-transparent AI (FAccT), explainable AI (XAI),responsible AI, and machine ethics (also called artificial morality). 

This course gives an introduction to AI Ethics and a general overview of the state of the art in AI ethics through immersing the students in the research process of an AI ethics topic.  



  • Identify the basic problems studied in explainable AI (XAI), Fairness, Accountability and Transparency (FAccT), Responsible AI and machine ethics.
  • Understand the premises of the core moral theories.
  • Interpret, explain and extend the need for, and challenges of, AI Ethics.
  • Experience the entire process of research in machine ethics from the inception of an idea, analysis of research work, refining a research question, planing and executing group work and reporting on the work in the form of a scientific report.


  • Appraise the ethical aspects of AI problems.
  • Match a specific AI Ethics challenge to its most relevant discipline.

General competence.

  • Reading and explaining scientific articles.
  • Research project management. Scientific reporting

Studiepoeng, omfang


Studienivå (studiesyklus)

Master level


Krav til forkunnskapar
INFO283 or INF264 
Tilrådde forkunnskapar

INFO282, INFO180 (or INFO283)

Solid background in discrete mathematics and logic. 

Krav til studierett
Master in Information Science. Other master students may apply for admission.
Arbeids- og undervisningsformer
Obligatorisk undervisningsaktivitet

Mandatory participation: Attendance at 80 % of course sessions is mandatory.

Obligatory group and individual assignments throughout the course. 

Compulsory requirements are only valid the semester they are approved.

  • Participation in class discussions 20%
  • Oral individual presentation 30%
  • Group Project  50%
  • The exam assignment will be given in the language of instruction in the course.

    The exam answer must be submitted in the same language as the exam assignment.

    The grading system has a descending scale from A to E for passes and F for fail.

    Assessment in teaching semester

    Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to The application must be submitted before the deadline for submission has expired.

    The reading list will be ready before 1 July for the autumn semester and 1 Decemeber for the spring semester. 
    All courses are evaluated according to UiB's system for quality assurance of education.
    The Programme Committee is responsible for the content, structure and quality of the study programme and courses.  
    Administrativt ansvarleg
    Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.