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Project Week AI Meets Antitrust: AI-Based Detection of Cartel Agreements

MGT001481Specialization in Management6 ECTSEnglishUnregelmäßigProfessur für Recht der Digitalgüter, Wirtschafts- und Wettbewerbsrecht (Prof. Mackenrodt)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In a compact project week you develop an AI-based system for the detection of cartels. In the end you will be able to identify legal risks, train an LLM-assisted classification model, and interdisciplinary connect technical as well as legal aspects.

What you will be able to do

  • Identify central antitrust risks in the corporate context
  • Use Large Language Models for targeted legal text analysis
  • Integrate interdisciplinary requirements (law, technology, economics)
  • Collaborate cooperatively in groups and develop practice-oriented solutions
  • Critically reflect on the performance and legal viability of AI-based systems

What the module consists of

  • WorkshopsIntroduction to antitrust law by external experts
  • Case study workApplication of theoretical knowledge to realistic cases
  • Interdisciplinary project workDevelopment of a functional AI-assisted analysis tool
  • SupervisionOngoing legal and technical advisory during the project
  • Presentation trainingPreparation for the final presentation before a specialist panel

Teaching method

  • Workshops with external expertsIntroduction to antitrust fundamentals
  • Case study workPractical application and analysis of fictitious corporate documents
  • Project-based learningDevelopment of an own model and tool in groups
  • Ongoing supervisionSubject-matter support by legal and technical instructors
  • Presentation trainingPreparation for the final presentation before a jury
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Official page in TUMonline · Details are not binding.