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Governance of Artificial Intelligence


Admission requirements

Students need to be registered for the minor AI and Society to follow this course.
Students of all faculties can register for the minor.


One of the core characteristics of AI is its ability for autonomous decision-making. Such decisions can relate to different aspects of our lives, including risk profiling for criminal behavior, the content and ordering of news media, and the search for and application of new information in professional work. This course focuses on practices within organizations regarding decision-making about the design and use AI and the (legal) frameworks that guide those practices. Part of the course deals with the use of AI within governments and the role the government has in regulating AI, particularly when striking a balance between the protection of public and individual interests and facilitating innovation. Challenges for the governance of AI as well as potential solutions are addressed within this course, including topics like politics and the complexity of data and information, the use of data for policymaking, government procurement and use of AI, and distribution of responsibilities among different actors involved in AI governance.

Course objectives

By the end of this course, students are able to:

  • Demonstrate the application of course content and analytic frameworks to the critical study of a current instance of AI governance;

  • Understand and communicate the challenges associated with governance of AI in regulating private sector use and development, and discuss potential solutions;

  • Understand and communicate the challenges associated with governance of public sector AI adoption and use, and discuss potential solutions;

  • Identify the pros and cons of current approaches to AI governance in the public sector using real world examples and academic literature, and take and defend a position on their merits.


Zie MyTimetable.

Mode of instruction


  • Number of (2 hour) lectures: 10

  • Names of lecturers: Dr. Matt Young (FGGA), prof.dr. Anne Meuwese (FdR)

  • Required preparation by students: See Brightspace

Assessment method

Examination form(s) Two individual short papers and a group project.

Submission procedures
Evaluation will consist of two (2) individual short papers (memoranda) and a group project. The group project will include both a written research report and an in-class presentation. All written materials will be submitted through TurnItIn via Brightspace. The short papers/memos will test knowledge of the content of the study materials and insights from class sessions. The group report and presentation will test the students ability to apply the course readings and class sessions in the analysis of a real-world example of AI governance. Each component will be weighed equally – 25% per short paper/memo, and 25% for the group report and presentation, respectively.

Areas to be tested within the exam
The examination syllabus consists of the required reading (literature) for the course, the course information guide and the subjects taught in the lectures, the seminars and all other instructions which are part of the course.

Reading list

Obligatory course materials
The study material and the course information guide for this course will be posted on Brightspace.


Registration for courses and exams takes place via MyStudymap. If you do not have access to MyStudymap (guest students), look here (under the Law-tab) for more information on the registration procedure in your situation.



  • Institute: Institute of Public Administration

  • Department: Faculty of Governance and Global Affairs

  • Room number secretary: 4.80 Wijnhaven, Turfmarkt 99, 2511 DP Den Haag

  • Opening hours: Monday to Friday, 09:00 – 17:00

  • Telephone number secretary: +31 (0)70 800 9400

  • Email: