←   Hokmah

Founding Statement

Why Hokmah Exists

A few years ago, I was on a walk listening to a podcast when I heard Sir Geoffrey Hinton, the man many call the godfather of artificial intelligence, describe what this technology could do to our society. I stopped on the sidewalk and could not move. Not out of academic interest. Out of genuine reckoning.

What followed was immersion. Hundreds of hours of research, literature, and deep engagement with the AI safety and governance community. BlueDot Impact's AI Safety Strategy cohort. The CEA Career Bootcamp. The Successif AI Policy Fellowship. A weekly AI Research and Governance Study Group. Acceptance to EA Global 2026. The more I studied, the clearer one thing became: a fundamental disruption is coming, and the communities with the most at stake are almost entirely absent from the conversations shaping it.

The institutions shaping AI, including labs, policy bodies, and regulatory agencies, operate almost entirely without input from the people most affected by the systems they build. That is not an oversight. It is a structural gap in the governance ecosystem. And it is widening every day that the conversations continue without the constituencies who will live with the consequences.

Hokmah is built on a simple conviction: that meaningful AI governance requires the communities most affected by AI to be active participants in shaping it and not passive recipients of decisions made elsewhere. Building that participation requires infrastructure. Trusted networks. Civic pathways. Relationships that already exist in the institutions communities turn to when things matter most.

I spent more than twenty years building bridges across culture, policy, and community, translating complexity into language people can act on and convening the right people in the right rooms at the right moment. I did not arrive at this work through a career plan. I arrived through a moment I could not ignore and an obligation I could not set down.

Hokmah is not a pivot. It is the natural convergence of two decades of work, finally aimed at the problem that matters most.

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