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Artificial Intelligence: An Intersectional Perspective

Graduate Level (Second Cycle). Autumn Semester. Half Speed.

RÄSN12, Artificial Intelligence: An Intersectional Perspective, 7.5 credits

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 in order to investigate ways in which 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 do critical and textual analysis of 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 (pdf, new tab)