Jason Blick
Profile
Biography
Jason Blick
I am a doctoral researcher at York Law School, where my work explores the constitutional, economic, and technical foundations required for the safe and legitimate deployment of Artificial Superintelligence in the United Kingdom. I joined the programme in 2024 and am supervised by Professor Arvind and Dr Heims. My research centres on SIMOL (the Sovereign Intelligent Macroeconomic Optimisation Layer), a framework I developed to examine how real-time, AI-driven governance could operate within a rights-based constitutional order.
My work combines public law, political economy, and computational modelling to address the central question of how democratic governments can maintain legal authority and societal legitimacy when decision-making may soon exceed human cognitive capacity. I draw heavily on doctrinal analysis, historical precedent, and modern AI architectures to propose mechanisms through which ASI systems can remain safe, auditable, and aligned with constitutional principles.
In addition to my PhD, I am the CEO of a global bank, CEO of two technology companies and a Director of a global US pharmaceutical group and a Solicitor of England and Wales. Before beginning my PhD, I spent more than twenty-five years working across global banking, regulatory governance, defence, and national policy design. My previous roles include authoring legislation, establishing regulatory authorities, leading national-scale economic initiatives, and directing a NATO-aligned defence infrastructure transition. These experiences inform my research, particularly my interest in state capacity, institutional design, and the integration of advanced technology into public administration.
Research
Overview
My research focuses on the constitutional, legal, and economic challenges posed by advanced artificial intelligence, particularly Artificial Superintelligence. I work at the intersection of public law, macroeconomic governance, and computational systems design. My interests include:
• Artificial Superintelligence governance and constitutional design: Examining how sovereign states can lawfully regulate and integrate ASI within democratic structures.
• AI-native macroeconomic modelling and optimisation: Developing frameworks for real-time, machine-led fiscal and monetary governance.
• Constitutional and administrative law in the post-human context: Understanding how traditional doctrines adapt when non-human cognition enters public decision-making.
• Institutional design, political economy, and state capacity: Investigating how governments can maintain legitimacy, accountability, and public trust in an era of advanced autonomous systems.
