This research situates AI policy and regulatory proposals within the broader context of their origin – the institutions within which they are being created. It adopts an interdisciplinary approach, including sociotechnical, political science, and socio-legal methods, to map and empirically investigate perceived challenges and sites of potential institutional change within the regulation of AI. A comparative analysis of the United States and the European Union provides a broader framework to compare how responses and regulatory changes materialise within different economic, political, and social contexts
AI Governance, Regulation and Policy.
Science and Technology Studies (STS).
Socio-Legal Studies.
Data Protection Law.
AI Standards.
Worked previously as a Corporate Projects Solicitor and in industry as a communications consultant before moving into Education. My masters research explored feedback methods within narrative writing using technology.
LLB Law – University of Leicester
Legal Practice Course – University of Sheffield
PGCE, MSt – University of Cambridge
Prof Hugh Lauder
Dr Julian Padget
