AI GOVERNANCE AND REGULATION

This cross-sectional field of research enables analysis of how appropriate existing law is in relation with AI applications (e.g., the GDPR) and what AI governance might resemble  in the future. Research focuses on issues such as data and privacy protection - among other human rights - transparency, the audibility of AI systems, accountability/liability and oversight/control, and the fight against bias and discrimination.

ARTICLES

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23/06/2026
Professor Theodore Christakis, Director of the AI Regulation Chair at the University Grenoble Alpes, joins the Masters of Privacy podcast to discuss the privacy of chatbot conversations, government and court access to AI-generated data, cybersecurity risks, and the rapid emergence of AI-powered health assistants in the context of the European Health Data Space.
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17/06/2026
The IAPP recently published an article by Prof. Theodore Christakis about the discourse among European policymakers in response to Anthropic’s decision to block foreign nationals’ access to two of its latest models.
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08/06/2026
Hundreds of millions of people now confide in AI chatbots as though the conversation were private. In law, it is not. The concluding part of our consumer-AI privacy project follows a single conversation into the four places it can surface, a police referral, a government demand, a courtroom and a data breach, and asks what providers and regulators should do, including whether confidentiality can be built into the architecture itself.
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04/06/2026
The Court of Rome has annulled the only GDPR fine ever imposed on a generative-AI launch, holding that Italy’s Garante lost competence once OpenAI’s Irish establishment was recognised. A launch-period enforcement gap, and perhaps a question for the Court of Justice.

NEWS

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