AI4POL

Using Artificial Intelligence to Support Regulators & Policy Makers

AI4POL is a Horizon Europe project designed to equip European regulators and policy makers with the tools and knowledge needed to effectively govern and regulate AI technologies.

Artificial Intelligence is reshaping economies, societies, and power structures at an unprecedented pace. While new EU rules have been adopted in recent years, technological innovation surges ahead and policymakers are still struggling to keep up, lacking the tools, expertise, and frameworks to effectively guide and oversee this transformation. AI4POL was created to understand how Europe’s vision to shape AI development on its own terms can be effectively implemented, namely fair, transparent, and aligned with societal needs.

In summary, the overall aim of AI4POL is to strengthen the EU’s position in the global AI domain by equipping policymakers and regulators with the knowledge, tools, and strategies to understand and monitor the development of AI technologies and to develop and implement evidence, future-proof and effective regulation grounded in human rights, European values, and the needs of citizens.

What we do

AI4POL is an EU-funded Horizon Europe research project that brings together an interdisciplinary group of experts to develop actionable insights and governance tools for AI. The project addresses several critical areas:

  • "Next Generation AI Governance" focuses on enabling secure and lawful data sharing, defining and monitoring self-preferencing in digital markets, and identifying online consumer manipulation to inform enforceable and resilient AI regulation.
  • "AI-Powered Public Insight for Smarter, Citizen-Centric Regulation" leverages AI technologies to make complex digital regulations more accessible to the public and provides structured feedback mechanisms to help regulators respond more effectively to citizens’ needs and experiences.
  • "Trustworthy AI for Financial Services" develops a policy toolkit based on mathematical risk models and ethical principles to help financial regulators identify, assess, and manage the risks of AI applications, while providing guidance to foster responsible innovation and maintain trust in the financial system
  • "AI-Development and Institutional Constraints" analyzes how global AI development capabilities interact with institutional governance structures and implements an AI Threat Index, focusing on China and Russia as proof of concept.

 

Together, these work packages enable AI4POL to support evidence-based, enforceable, and future-proof AI regulation and policy aligned with European values and societal priorities.

How we do it

AI4POL works collaboratively across disciplines and sectors to deliver tools and recommendations that are both rigorous and practical. Through close engagement with EU policymakers, regulators, industry experts, civil society, and the research community, AI4POL translates research into concrete outputs, such as policy briefs, workshops, dashboards, and legal frameworks. Our approach ensures that regulation of AI is not only informed by the latest technical and ethical insights but also aligned with the real-world needs of those tasked with enforcing it.

Tilburg University
Technical University Munich
Centerdata
Munich School for Politics and Public Policy
Università degli Studi Roma
University of East Anglia
Visual Analytics

Team

Fernanda Sauca

Dissemination, Exploitation & Communication LEad

Markus Siewert

Project lead