AI Ethics

ECTS Credits

10 ECTS

Level of Study

Bachelor (undergraduate)

Teaching semester

Autumn

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. 

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

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

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

Portfolio:

1. One Individual assignment and one group assignment from the obligatory assignments (60%)
2. Oral presentation (30%)
3. Reflection note (10%)

Examination Support Material

None

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. Only students who have a valid document of absence will be entitled to take a new written exam the following semester.

Reading List

The reading list will be ready before 1 June 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. 

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.  

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB. 

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.