Thesis topic:

AI-Driven compliance monitoring using Z-inspection for secure and trustworthy AI systems

• Supervisor: Ijeoma Faustina Ekeh
• Co-Supervisor: Raimundas Matulevicius, Prof.
  • contact: ijeomafa@ut.ee
• This thesis would explore the use of Z-inspection in carrying out an in-depth analysis on the ethical considerations of AI with respect to the EU AI Act regulation on high-risk AI systems, and evaluate how Z-inspection can enhance the security of these AI systems by uncovering the vulnerabilities in the design of AI systems. At the end of the thesis, the student should be able to develop a method that drives AI compliance with respect to security and trustworthiness.

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