AI Ethics

Undergraduate course

Course description

Objectives and Content

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. 

Learning Outcomes

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

Knowledge:

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

Skills:

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

ECTS Credits

10 ECTS

Level of Study

Bachelor (undergraduate)

Semester of Instruction

Autumn
Required Previous Knowledge
None
Recommended Previous Knowledge
  • INFO180 or equivalent.
  • AIKI110
  • To be taken in parallel with INF264 or after INFO284
  • Basic understanding of programming.
  • Credit Reduction due to Course Overlap
    None
    Access to the Course

    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.

    Application deadline: Wednesday, week 33

    Teaching and learning methods
    Lectures, seminars and data labs, normally 2 + 2 hours per week for 12-15 weeks.
    Compulsory Assignments and Attendance

    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.

    Forms of Assessment

    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 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.

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

    Assessment in teaching semester.

    Retake exam

    Written exam:

    A retake exam is arranged for students with valid absence according to § 5-5. If there is a retake exam, this will be available for students with the follow results/absences:

    • Medical certificate/valid absence
    • Interruption during the exam
    • Fail/failed

    If you have the right to take a retake exam and a retake exam is arranged for students with valid absences, you can sign up yourself in Studentweb after January 15/August 1.

    Individual assignment:

    Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to eksamen.infomedia@uib.no. The application must be submitted before the deadline for submission has expired.

    Reading List
    The reading list will be ready before 1 July for the autumn semester and 1 December for the spring semester. 
    Course Evaluation
    All courses are evaluated according to UiB's system for quality assurance of education. 
    Examination Support Material
    None
    Programme Committee
    The Programme Committee is responsible for the content, structure and quality of the study programme and courses.  
    Course Administrator
    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.