EU regulation of Artificial intelligence in the shadow of global interdependence


What impact do regulatory frameworks elsewhere in the world have on EU AI rules?

I Theorizing regulatory interdependence in EU AI policy read more

How central should the transatlantic axis be to EU AI policy?

II Transatlantic relations in AI policy read more

How and when should the EU collaborate with China in AI rule design and enforcement?

III EU AI diplomacy towards China read more

When are global AI rules the right answer to regulatory concerns?

IV EU engagement in global AI standard setting read more

To what degree should the EU outsource AI standard setting to private organizations?

V Non-governmental AI standards and EU policy read more

Challenge of our time

Artificial intelligence (AI) has the potential to transform society in both good ways and bad. That makes its effective regulation a paramount challenge of our time. The RegulAite project investigates such regulation in the European Union, focussing on the global political and economic force field in which it unfolds. As a domain of innovation, AI spans the globe. Meanwhile, these technologies are dominated by the United States and China, at a time when geopolitical tensions are rising. RegulAite studies how the EU can navigate the global AI landscape such that its rules are effective and aligned with public objectives.

read our output

The RegulAite team

The RegulAite project is directed by Daniel Mügge, who is Professor of Political Arithmetic at the University of Amsterdam. It also encompasses three PhD candidates, a post doctoral researcher, and several staff members of the UvA political science department.

meet the team

Inspirations and questions

The RegulAite project spans academia, the policy domain, and public debates. Housed within the University of Amsterdam, it builds theory and analysis to support forward-looking debates and public deliberation. Disciplinary silos stand in the way of understanding AI governance better and improving it. RegulAite draws inspiration from legal and political science scholarship, but also from philosophers and sociologists—and from technology developers and policymakers themselves. Such connections are essential to effective AI governance as well as to our project itself. If you are interested in our work, we’re eager to hear from you.

contact us