The course places the use and the development of artificial intelligence (AI) and associated digital technologies (such as self-learning algorithms, autonomous machines and Human-Machine interfaces) in a historical, social and legal context. The course integrates theories and empirical research from different disciplines to investigate how asymmetrical relations are created and maintained, and how these inequalities are coded in and by the practice and development of AI and new digital technologies.

You are encouraged to critically and textually analyse AI and digitisation in different social and legal contexts. The course focuses on the following four modules:

1. Ethnicity, exploitation and oppression
2. Gender, democratic challenges and sustainable life
3. Population management
4. Adjudicating AI and Digitalisation

Syllabus for Artificial Intelligence: An Intersectional Perspective (pdf, new tab)

Course literature for Artificial Intelligence: An Intersectional Perspective, 2023 (pdf, new tab)

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When you apply to the course Artificial Intelligence: An Intersectional Perspective, University Admissions shows two options with different registration codes. While it is the same course, one is for online/distance participation, and the other is on campus. Make sure to select the one that is relevant to you.