Anticipatory regulatory instruments could be potentially important and impactful tools for regulators to anticipate risks arising from AI systems. They may also support development of regulatory capacity, knowledge, and stakeholder engagement. Regulatory sandboxes (RS) are the anticipatory instrument used as the focus of this work to empirically research their existing methodologies, design, and application. A socio-legal approach will be adopted to consider both the legal structure of RS within an analysis of the wider regulatory institutional contexts and circumstances of each RS studied. This comparative study will hopefully provide empirical data regarding existing RS and provide recommendations for areas for development when using RS to assess AI systems.
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
