AI Development in Autocratic Countries
Mapping the Intersection of States’ AI Maturity and Governance in High-Risk AI Development to Inform EU Policymaking
Work Package 5 addresses the growing global security and governance risks posed by high-risk AI technologies (HRAI) and the potential emergence of Artificial General Intelligence (AGI) across different political and institutional contexts.
The project develops a framework to assess the intersection of (technological) AI maturity and institutional governance constraints on those controlling HRAI, including political, economic, legal, and ethical constraints. Central to this work is the development of a theoretical "AI Threat Index" and a dynamic, data-driven dashboard that tracks indicators of critical AI developments.
The Work Package contributes to AI4POL’s broader objective by equipping EU policymakers with insights into global developments in high-risk AI applications and offering recommendations for proactive, value-based policy responses.
The work program is being carried out by teams from the Tilburg University, the Technical University of Munich, and Centerdata. Project members include Kun He, Ivan Khomyanin, Berkay Serceoglu, Teun Siebers, Marcel Das, and Pradeep Kumar.
Mapping the Intersection of States’ AI Maturity and Governance in High-Risk AI Development to Inform EU Policymaking
Work Package 5 addresses the growing global security and governance risks posed by high-risk AI technologies (HRAI) and the potential emergence of Artificial General Intelligence (AGI) across different political and institutional contexts.
The project develops a framework to assess the intersection of (technological) AI maturity and institutional governance constraints on those controlling HRAI, including political, economic, legal, and ethical constraints. Central to this work is the development of a theoretical "AI Threat Index" and a dynamic, data-driven dashboard that tracks indicators of critical AI developments.
The Work Package contributes to AI4POL’s broader objective by equipping EU policymakers with insights into global developments in high-risk AI applications and offering recommendations for proactive, value-based policy responses.
The work program is being carried out by teams from the Tilburg University, the Technical University of Munich, and Centerdata. Project members include Kun He, Ivan Khomyanin, Berkay Serceoglu, Teun Siebers, Marcel Das, and Pradeep Kumar.
Mapping the Intersection of States’ AI Maturity and Governance in High-Risk AI Development to Inform EU Policymaking
Work Package 5 addresses the growing global security and governance risks posed by high-risk AI technologies (HRAI) and the potential emergence of Artificial General Intelligence (AGI) across different political and institutional contexts.
The project develops a framework to assess the intersection of (technological) AI maturity and institutional governance constraints on those controlling HRAI, including political, economic, legal, and ethical constraints. Central to this work is the development of a theoretical "AI Threat Index" and a dynamic, data-driven dashboard that tracks indicators of critical AI developments.
The Work Package contributes to AI4POL’s broader objective by equipping EU policymakers with insights into global developments in high-risk AI applications and offering recommendations for proactive, value-based policy responses.
The work program is being carried out by teams from the Tilburg University, the Technical University of Munich, and Centerdata. Project members include Kun He, Ivan Khomyanin, Berkay Serceoglu, Teun Siebers, Marcel Das, and Pradeep Kumar.
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This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101177455
This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101177455