Tuesday, 14 October 2025
15:00–17:00 CET | Online
As political momentum around Artificial Intelligence accelerates, its development, funding, and expansion are reshaping the policy landscape for civil society. Too often, these debates do not center justice, equity, and the public interest.
We envisioned the Openness & Equity in AI Policy Leadership Cohort as a space to bring together practitioners across the emerging technology policy ecosystem to reflect on a key question: What would it mean to write AI policy that empowers diverse communities, respects planetary boundaries, and truly serves the public benefit?
In our sixth AI Openness & Equity Policy Leadership Cohort session, we were joined by Bruce Schneier to unpack the intersection between AI openness and security. Our conversations centered on questions including:
What does “security” in the AI context actually mean?
In our fourth AI Openness & Equity Policy Leadership Cohort session, Michelle Thorne from the Green Web Foundation joined us as we explored climate justice in the context of AI. Specifically, our discussion centered around the question: how does AI intersect with climate justice, and what can it mean for public interest technology?
In our third AI Openness & Equity Policy Leadership Cohort session, we dove deeper into a tough but timely question: how do we design AI that actually serves the public - not just in theory, but in practice?
Our second AI Openness & Equity Policy Leadership cohort session centered around understanding the intention, value, and suitability of open source when applied to AI. Our discussions tackled a foundational question: What does “openness” mean in the age of AI, and how can the values of open-source guide AI systems to serve the public good?
