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).
Data Protection Law.
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