Gabriela Commatteo is a legal scholar and policy expert specializing in the governance and regulation of artificial intelligence, with a focus on the development of trustworthy, ethical, and human-centric AI systems. Her work bridges the fields of law, technology, and public policy, examining how emerging AI technologies can be governed responsibly while supporting innovation and public good.

Currently serving as Head of AI Regulation, Policy and Projects within the UK Medicines and Healthcare products Regulatory Agency (MHRA), Prof. Commatteo continues to play a key role in shaping the United Kingdom’s approach to AI regulation, both in her current and previous roles in the UK Department for Science, Innovation and Technology (DSIT) and AI Security Institute (AISI). Her expertise covers AI regulatory strategy, AI systems governance, and international approaches to AI law, with an emphasis on how public and private institutions can design effective frameworks for managing advanced AI models.

She is a lawyer and holds an LL.M. in Intellectual Property and Information Law from King’s College London, where her research explored regulatory and ethical challenges in large language models (LLM). She also earned honours degrees in Law and in Legal Translation from Universidad Católica Argentina, with additional studies in technology policy and international relations. In her academic work, Prof. Commatteo has contributed to the Global Media Initiative at King's, developing legal tools to protect journalists and freedom of the press. In 2025, she was a summer research fellow at the Centre for the Governance of AI (GovAI) examining a new taxonomy of rights in the face of AI, focusing on the right to AI loyalty.

Research interests

Professor Commatteo’s academic and policy contributions address critical questions in AI governance, ethics, transparency, and liability, including the regulation of frontier AI models, mis and disinformation reproduced by AI technologies, and the intersection between AI, human rights, and democratic governance. Her research and professional practice reflect a deep commitment to connecting legal theory with policy implementation of AI, bridging academia, industry, and government to create responsible AI governance ecosystems.