back to search

Frontiers in AI Governance

SOT86108Specialisations3 ECTSEnglishsummer semesterDepartment Governance
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will engage with global regulatory frameworks, governance models and policy cycles for AI. You will learn how political actors respond to new AI risks, apply foresight methods and design adaptive, experimental regulatory approaches.

What you will be able to do

  • Analyse global AI governance frameworks and policy cycles
  • Evaluate the adaptability of different governance models
  • Apply foresight methods (scenarios, horizon scanning)
  • Develop experimental, learning-oriented regulatory strategies
  • Critically assess emergent regulatory innovations

What the module consists of

  • Seminarintensive three-day course with case studies, discussions and policy labs

Teaching method

  • Case Study AnalysisInvestigation of real governance and regulatory examples
  • Foresight & Scenario-Building ExercisesStructured anticipation of future governance challenges
  • Group Discussions & DebatesCritical engagement with adaptive governance and learning processes
  • Collaborative Policy LabsDevelopment of forward-looking regulatory strategies and sandboxes
  • Expert Insights & Guest LecturesInsights from practitioners in policy and foresight
  • Reflective LearningApplication of theoretical concepts in individual reflection papers
No dates in the current semester
There are no course dates for this module this semester, or they haven't been matched yet.

Module ratings

No ratings for this module yet.

Rate this module

Only fill in the categories you can judge – for each one, either stars and text together or nothing at all.

Lecture
Tutorial
Exam

Reviews are automatically checked before they are published.

Official page in TUMonline · Details are not binding.