Distributed AI governance
isn't just a regulatory concept.
Published
Distributed AI governance isn't just a regulatory concept—it is the best mechanism we have for training safer, more aligned systems.
I moderated a talk with Audrey Tang at DevTalks Bucharest a while back, and their approach to Open Source Government completely shifted how I view business transformation and co-creation. In this new episode hosted by Foresight Institute and Existential Hope, Audrey expands on this with the concept of "d/acc" (decentralized, differential, defensive acceleration).
If we want AI to serve local constituencies, protect our privacy, and prevent the hyper-concentration of power in a few frontier labs, we have to build local, community-owned civic AI. Empowering citizens to collaboratively educate these models is exactly how we decrease the ultimate risks of the technology.
A big shout-out to Foresight Institute and Existential Hope for consistently hosting these critical discussions.
Rather than leaning into tech doomerism, their platforms focus on mapping actionable, optimistic pathways for the future—exploring how we can actively steer frontier technologies toward human flourishing. It is exactly the kind of dialogue we need more of right now.
Brilliant conversation and highly recommended: AI is accelerating. Can democracy keep up? | Audrey Tang →
First published on LinkedIn on 7 October 2026. The original post.
The full mechanism — how absorbed custom work prices as a services business, and how the shape is resolved — is in the report →
Where this note leads: the papers behind it, in reading order.