When using artificial intelligence, we often care more about what the answer is rather than where it comes from. However, as Adrian Mak, a Fellow at the Stanford Law School AI Initiative explains, we should think more about the fact that the answer is usually generated from the sensitive personal data used in training such models.

A co-editor of ‘Privacy and Personal Data Protection Law in Asia’ by Hart Publishing and contributor to ‘The Cambridge Handbook of Private Law and Artificial Intelligence’, Mak has extensive practice experience in international technology, commercial and energy disputes. In Hilary Term 2026, Isaac Tan, a Podcast Editor of the Oxford University Undergraduate Law Journal, had the opportunity to sit down with Mak to discuss the underlying norms of data protection and privacy and how these norms may be challeng ...