Dr Daria Onitiu researches and publishes on the legal, ethical and governance aspects surrounding Artificial Intelligence (AI) technologies, generative AI and deepfakes. She has a particular interest in the governance of AI/ML software as a medical device, ethics of AI in medical settings, as well as the safety and security challenges of general-purpose systems, and generative AI. Other, complementary research include the opportunities and constraints of EU data protection law, platform regulation and international human rights law to address issues of power surrounding complex technological systems and tech industry business models.
Previously she worked at the Trustworthiness Auditing for AI project at the Oxford Internet Institute, University of Oxford, as well as the UKRI Trustworthy Autonomous Systems Governance and Regulation Node and SCRIPT Center at the University of Edinburgh.
AI, algorithmic decision-making, algorithmic personalisation, international human rights law, AI governance, privacy, EU data protection, product safety
8 May 2026
New EU reporting rules for data centre energy and water use may look like progress, but loopholes risk undermining genuine environmental accountability.
7 July 2025
Whether it is merely long-term hype or near-term reality, Large Language Models (LLMs) in medicine are well-positioned to engage with a wide range of medical tasks and be used for medical research purposes.
8 December 2023
Instead of fixating on isolated risks and regulatory gaps, it is crucial to focus on how developers are making decisions about safety and performance issues in medical AI.
