AI Policy Exchange is an entirely volunteer-run community. Our people are diverse, high-calibre individuals who’ve committed to contributing to AI Policy Exchange’s mission and work, on a part-time, pro-bono basis.

Our Leadership

Raj Shekhar is the Executive Director and is responsible for supervising and managing AI Policy Exchange’s existing projects and identifying growth opportunities. Antara Vats is the Executive Lead, Strategy & Partnerships and is responsible for forging and maintaining strategic partnerships with individual and institutional collaborators to meet AI Policy Exchange’s project and growth requirements.

Affiliate Network

Our affiliate network comprises a diverse range of technology and policy professionals from all around the world, from a variety of public and private organisations and institutions. Members of our affiliate network advise and support the mission and work of AI Policy Exchange, participate in periodic meetings and events hosted by its leadership to discuss and address the most pressing concerns in the responsible AI domain, and participate in peer-to-peer learning by keeping their colleagues in the network posted on their latest work.

See our current members here.

Citizen 4.0 Network

To create a strong feedback loop for our work and expand our surface for potential beneficial impact, we’re building a network of concerned stakeholders who we will be hosting on our Slack group and who would represent regulators and public policy decision-makers, public and private enterprises, technology workers, users of AI-based products and services, AI policy think tanks and advocacy groups, the press, and the general public. We would be running all our project outputs by our citizen 4.0 network.

Board of Advisors

We’re also in the process of recruiting a strong board of advisors who’d comprise seasoned leaders from the technology industry, development sector, politics, civil society, and academia. The Board will carry the prerogative of providing strategic guidance to the leadership at AI Policy Exchange in the form of proposals for course correction in project scoping, implementation and diversification, and community management and expansion.