Teodora Groza

researcher | lecturer | speaker

I'm an AI governance researcher committed to the belief that technological developments need to be paired with adequate governance structures. My work lies at the intersection of law & economics and law & technology, investigating how we can leverage various legal modules (from sector-specific regulation to corporate governance) to align AI with the public interest. I hold a Ph.D. in law from Sciences Po Law School.

I'm a research fellow for the Track AI project, an initiative co-hosted by Sciences Po Law School and CodeX, The Stanford Center for Legal informatics and financed by Project Liberty Institute. I lead a team of law and computer science RAs working together on two axes: 1) the governance ecosystems of AI firms, and 2) the development of an AI-powered antitrust compliance tool.

Current projects:

  • AI foundation models as self-improving infrastructures (to be presented at the AI & Law conference);

  • Mapping the meaning of the public interest in AI regulation & industry initiatives;

  • Governing AI Firms: Antitrust, Corporate Governance, and Regulation (co-editor, forthcoming with Cambridge University Press)

  • The role of courts in safeguarding electoral competition (to be presented at AFED 2025)

As a lecturer, I teach modules on AI governance, comparative antitrust law, and law & economics. My classes have repeatedly received satisfaction rates of 100%.

I have intervened at and organized numerous conferences bringing together voices from academia, the public sector, and industry, hosted by fora ranging from the OECD to start-up incubator Station F. I am a founding member of the Sciences Po Law & Technology group and the Editor-in-Chief of the Stanford Computational Antitrust Journal.

I have published on AI governance, data markets, the governance of new technologies, and the role of antitrust in promoting innovation. Selected publications:

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