Etikk i kunstig intelligens



Mål og innhald

The course covers the interdisciplinary aspects of AI specifically how AI methods and systems interact and impact people, society, law and economy. It covers a selection of the following topics: explainable AI (XAI), fairness, algorithmic accountability and trust (FAT), artificial morality, responsible use of AI. It also offers practice in popular dissemination of AI. 


A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The candidate can   

  • Identify and describe the concepts of bias, trust, fairness, explanation, equality and empowerment in the context of artificial intelligence
  • Can discern the sub-fields of AI Ethics, their challenges and relations to social science and humanities
  • Is familiar national and international AI guidelines for responsible use


The candidate

  • Can evaluate the  algorithmic accountability of an AI system
  • Can assess the possible societal and personal impact of an AI system
  • Can apply tools for providing explanations of AI algorithms
  • Can  apply tools for assessing bias in data sets and AI algorithms
  • Can comprehend and communicate the ethical and societal implication of AI to a general audience

Studiepoeng, omfang


Studienivå (studiesyklus)

Bachelor (undergraduate)


Krav til forkunnskapar
Tilrådde forkunnskapar
  • INFO180 or equivalent.
  • AIKI110
  • To be taken in parallel with INF264 or after INFO284
  • Basic understanding of programming.
  • Studiepoengsreduksjon
    Krav til studierett

    The course is open to students with admission to study at the UiB. The course has 60 study places. Students who have this course as a compulsory part of their study plan (students at BASV-AIKI) will have priority access. Students at the following study programs will have second priority:

    BASV-INFO, BASV-IKT, BASV-KOGNI, BASV-MIX, Bachelor's programs at the Department of Informatics and Bachelor's programs at the Department of Mathematics.

    Students at other programs will have third priority.

    Arbeids- og undervisningsformer
    Lectures, seminars and data labs, normally 2 + 2 hours per week for 12-15 weeks.
    Obligatorisk undervisningsaktivitet

    There will be mandatory assignments which must be completed and approved.

    Mandatory participation: Active attendance at seminars and labs (at least 75%).

    Approved compulsory requirements are valid for the two following semesters.


    The assessment comprises of two parts:

    • Written exam (80 %)
    • Individual assignment (20 %)

    All parts of the assessment must be passed in the same semester.

    Grades for each part of assessment and the final grade will be published in Studentweb.

    The grading system has a descending scale from A to E for passes and F for fail.
    Assessment in teaching semester. Only students who have a valid document of absence will be entitled to take a new written exam the following semester.
    The reading list will be ready before 1 June for the autumn semester and 1 December for the spring semester. 
    All courses are evaluated according to UiB's system for quality assurance of education. 
    Hjelpemiddel til eksamen
    The Programme Committee is responsible for the content, structure and quality of the study programme and courses.  
    Course coordinator and administrative contact person can be found on Mitt UiB. 
    Administrativt ansvarleg
    The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.