Framing the Future of AI Governance: Leading with Evidence-based Policy,
November 12-14, 2025 hosted at Mondai | House of AI, Delft University of Technology (TU Delft)
Predictions about the promises and perils of artificial intelligence (AI) are increasingly prevalent; from the future of work and education to breakthroughs in healthcare and public services, and the reconfiguration of warfare and national security. Such narratives profoundly influence how we imagine, initiate, and interrogate the development and deployment of AI innovations. Crucially, how we frame these issues shapes the decisions we make about the future of AI in society. Policy research allows us to highlight these underlying narratives and ask how they frame the economic, social, environmental and human rights impacts of AI systems.
The Global AI Policy Research Summit 2025 convenes a growing international network of research institutes and policymakers. Summit participants work to uncover the mechanisms of – and potential pathways for – effectively framing the future of responsible AI, drawing on evidence-based policy and good governance practices. Together they analyze how current dominant narratives serve to frame the global AI policy landscape, as well as jointly identify effective strategies and collaborations for the future of responsible AI governance.
Building on the AI Policy Research Roadmap, which was developed through collaborative discussions at the inaugural AI Policy Summit 2024 in Stockholm, summit participants can further advance a shared vision and concrete actions for the future of responsible AI governance through collaborative research and practice!
I serve on the steering committee of the Global AI Policy Research Network (GlobAIpol) which organizes this annual event. GlobAIpol is a community of practice that serves as a platform for policy researchers and professionals to advance responsible AI policy research, evidence-based insights and actionable strategies for stakeholders across academia, industry, public sector, and civil society. AI policy research has emerged as an essential guide to navigating the complex interplay between technological innovation and societal impact. It ensures that we guide advancements in AI in alignment with ethical, legal, and social priorities.
The network was established following the inaugural AI Policy Research Summit in Stockholm, November, 2024. The inaugural summit was a joint initiative led and organized by the AI Policy Lab, Umeå, Sweden, and Mila – Quebec AI Institute, Montreal, Canada. The summit brought together a community eager to address the need for better synergies between research, policy and impact to realize responsible, equitable and sustainable AI for the benefit of all.
A core objective of the GlobAIpol network is to inform global approaches to AI governance by sharing best practices and fostering collaboration on developing AI policy. This includes advancing responsible AI policy research that meets the growing need for governance grounded in ethical, transparent, and evidence-based practices to shape inclusive and trustworthy policies. The network takes an interdisciplinary and multistakeholder approach to holistically address the complex challenges and opportunities that arise with these developments. Through these objectives, the network works for effective knowledge exchange to bridge the gap between AI policy research and practice.
Read more about the network’s commitments in the Roadmap for AI Policy Research.
Nitin Sawhney 