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.
Description
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. Examples include the nature and role of institutions in governance frameworks generally and for AI in particular; politics and the complexity of data and information; government procurement and use of AI, and distribution of responsibilities among different actors involved in AI governance.
Course objectives
At the end of this course, students will be able to:
Demonstrate the application of course content and analytic frameworks to the critical study of a current instance of AI governance (skills: researching; analyzing; written communication; reflecting; independent learning);
Understand and communicate the challenges associated with governance of AI in regulating private sector use and development, and discuss potential solutions (skills: researching; analyzing; generating solutions; written communication; reflecting; independent learning);
Understand and communicate the challenges associated with governance of public sector AI adoption and use, and discuss potential solutions (skills: researching; analyzing; collaborating; oral communication; written communication; presenting; independent learning); and
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 (skills: researching; analyzing; collaborating; oral communication; written communication; social awareness; independent learning).
Timetable
Zie MyTimetable.
Mode of instruction
Lectures
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) Individual written assignment and a group written assignment and presentation.
Submission procedures
All written materials will be submitted through TurnItIn via Brightspace. Presentations will be held during class sessions. Each component will be weighed equally.
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
Literature:
The study material and the course information guide for this course will be posted on Brightspace.
Registration
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.
Contact
Coordinator: Dr. Matt Young
Email: m.m.young@fgga.leidenuniv.nl
Work address: Turfmarkt 99, 2511 DP Den Haag
Institution/division
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: secrbsk@fgga.leidenuniv.nl