
The AI Policy Summit advances to its seventh edition in 2026!

Under the auspices of the Secretary General of the Council of Europe,
Mr Alain Berset
Pre-Event for the Global AI Summit 2027 in Geneva.
Set up in 2019, by RegHorizon and ETH Zurich’s Center for Law and Economics, the AI Policy Summit is recognized as a leading event in Europe and globally.
The AI Policy Summit leverages Switzerland’s unique positioning as a global hub for innovation, and it's unmatched reputation as a neutral and pragmatic country. with demonstrated strength in multi-lateral diplomacy, hosting top-tier academic institutions, international organizations and businesses every year.
In addition, we are proud to be a flagship event of the 2026 Zurich AI Festival, for the second consecutive year, hosted by the Canton of Zurich and organised by the Greater Zurich Area and ETH AI Centre.

In Collaboration with RegHorizon
Registration now open!
Secure your place for September 29–30, 2026. Register from below.
2026 KEY THEMES
Policy for Innovation and Competitiveness
Policy for Transition and Transformation
Road to Geneva 2027
AI POLICY SUMMIT 2025 HIGHLIGHTS
🌍 Shaping the future of AI Policy 🌍
AI Policy Summit 2025 Highlights
AI Policy Summit 2024 Highlights
GLOBAL OUTREACH 2025
106 Countries | 6 Continents

PARTICIPANT AFFILIATION 2025

PARTNERS 2025

SUMMIT FEEDBACK 2025

EUROPE'S LEADING AI POLICY EVENT
STAY TUNED FOR FURTHER UPDATES!
For inquiries, write to us at connect@reghorizon.com or follow us on Linked-In
ABOUT THE ORGANIZERS

Ayisha Piotti
RegHorizon & ETH Zurich
Ayisha Piotti is a globally recognised AI policy expert, strategic advisor, and keynote speaker with more than 20 years of international experience at the intersection of artificial intelligence, governance, and public policy. She advises governments, international organisations, and business leaders on responsible AI adoption, AI governance, and regulatory strategy. A Member of Parliament in Switzerland, Ayisha is committed to ensuring that AI serves society through inclusive, forward-looking, and evidence-based policymaking.

Prof. Elliott Ash
ETH Zurich
Elliott Ash is Associate Professor of Law, Economics, and Data Science at ETH Zurich. His research applies economics, natural language processing, and machine learning to the study of law, public policy, and democratic institutions. A graduate of Columbia University and the University of Amsterdam, his work has been widely published and supported by organisations including the National Science Foundation and the Alan Turing Institute.
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