Artificial Intelligence Regulation and Governance
The EU AI Act, risk classification, general-purpose AI, transparency, human oversight, impact assessment and the protection of fundamental rights.
Research
My research asks how legal systems can respond to technological change while preserving fundamental rights, institutional accountability and meaningful human agency.
Research approach
I work primarily in European information technology law. My research combines doctrinal analysis with interdisciplinary collaboration and applied regulatory assessments. I am interested in how legal concepts operate in technical systems and organisational practice, particularly when responsibility is distributed across developers, deployers, platforms and public authorities.
A recurring theme of my work is the relationship between formal legal compliance and broader questions of trustworthy technology. This includes the use of impact assessments, risk management, auditing and participatory methods.
Research areas
The EU AI Act, risk classification, general-purpose AI, transparency, human oversight, impact assessment and the protection of fundamental rights.
The scope and interpretation of the GDPR, automated decision-making, profiling, lawful bases, data governance, privacy by design and accountability.
Platform governance under the Digital Services Act, recommender systems, content moderation, disinformation, online advertising and the protection of minors.
Privacy, mental integrity, freedom of expression, non-discrimination, human autonomy and democratic values.
The psychosocial and legal implications of AI companions, persuasive design, emotional dependency, vulnerable users and responsibility.
The legal basis, methods and accountability structures for algorithmic auditing and its interaction with data protection and AI governance.
Current research focus
Selected collaborative work
A Horizon Europe project developing tools to support investigations of disinformation-related crime. My contribution concerns the legal and ethical conditions for data collection and AI-assisted analysis.
Interdisciplinary work on trustworthy AI in healthcare, including the legal and ethical assessment of AI-supported technologies.
Research and applied assessment addressing transparency, human dignity and responsible governance in facial-recognition systems.
Applied work on ethical data use, automated decision-making and responsible design of AI-supported financial services.
Research collaboration
I welcome collaboration with researchers, public institutions and technology organisations working on AI governance, privacy, platform regulation and fundamental rights.
Discuss a research collaboration