The Compact Project

Every technological transition is a choice point: a moment when we can reorganize political and economic power.

We need a By a technology-society compact, we mean the evolving, polycentric set of formal and informal agreements through which institutions and publics allocate authority, responsibility, risk, and benefit around technology.What we mean by a new compact that redefines technology’s relationship to the public.

Projects

  • The 2026 Primary Postmortem Project

    We’re conducting structured postmortem interviews with campaigns in the 2026 congressional primaries, covering how their tech platforms were built (especially who influenced them), what landed with voters, and what they would do differently.

  • Shared data commons

    A pilot proposal for structured transparency between frontier labs and government statistical agencies.

  • Corporate governance

    Today’s corporate structures don’t hold AI megacorps accountable for their effects on the public. We’re exploring new institutional forms, such as an enforceable public fiduciary, that bind firms to account for the public interest through both internal governance and verifiable external checks.

  • Functionalism as institutional design

    Different institutional forms are suited to different problem spaces. The equivalent principle applied to AI governance include an IAEA-style scientific body for verifying compute and training claims, a NTSB-style bureau for investigating AI incidents across companies, and a FRO-style entity for funding shared safety infrastructure like evals and interpretability tools.

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A new compact

We picture the compact as a hypersphere of intersecting formal and informal agreements among firms, governments, workers, researchers, communities, and the wider public, as well as the processes to adapt them over time.

We envision a set of adaptable agreements operating across multiple scales, with room for experimentation and learning.

More on what we mean by a new compact

Experimentation and gathering evidence

Effective governance depends on testing interventions before scaling. However, methods like RCTs and quasi‑experimental designs require comparisons and evidence that don’t exist for current policy proposals. We want to build a suite of alternative methods, including several that use AI itself. We’re also exploring new mechanisms to share and produce data.

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Reforming and designing new institutions

Existing institutional forms, such as standard‑setting bodies, scientific assessment panels, and shareholder trusts, each carry their own functions and relative advantages. Future modes of organization should be designed to fill the capability gaps, such as speed, verifiability, and technical oversight, that our existing institutions miss.

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Plurality of technology and governance

Current firm and regulatory approaches are increasingly moving towards convergence. Plurality is important not only as a check on the concentration of power, but also as a driver of ecosystem diversity and flourishing.

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Creating tools

As the world becomes more complex, we need new ways to understand it.

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Building partnerships and coalitions

Frontier technology governance requires coordination, but relevant expertise is often scattered.

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