Level of Study
Will be offered for the first time autumn 2023
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 topics of 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:
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
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Open to all students at the UiB.
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 lectures, seminars and labs (at least 75%).
Approved compulsory requirements are valid for the two following semesters.
Forms of Assessment
- One Individual assignment and one group assignment from the obligatory assignments (60%)
- Oral presentation (30%)
- Reflection note (10%)
Examination Support Material
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.
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.
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.