Public Evaluation of Public Benefit

A mechanism for more robustly aligning an organization with a public benefit purpose.

Note

Current structures for public interest corporate governance — including the augmented Delaware PBCs used by Anthropic, OpenAI and several neolabs — often prescribe ambitious, politically contested, complex purposes (e.g., ‘benefiting humanity’) without providing a commensurate procedure for operationalizing them and mitigating the risk of purpose drift. In this memo, we summarize why we believe representative deliberative processes have potential to fill this gap.

This is work-in-progress, and we are actively working to refine and further develop these ideas. Any and all feedback or expressions of interest are welcome via email to [email protected].

The challenge: robustly aligning organizations with a public benefit purpose

In general, existing methods for aligning an organization (e.g., a non-profit, trust, benefit corporation) with a public benefit purpose are imperfect and limited. In particular, while some frontier AI companies (e.g., OpenAI, Anthropic) and neolabs (e.g., Inflection, Thinking Machines, Discovery Loop) are structured as fortified Delaware PBCs with an official public benefit purpose, there are plausible scenarios in which the operative purpose of those organizations will drift towards private interests without any party violating a formal duty with sufficient unambiguousness to trigger meaningful corrective feedback.

Given the scale of influence of frontier AI companies — which mediate significant fractions of human attention and decision-making and increasingly have reserve control over a meaningful fraction of economic activity — it is especially important that we develop mechanisms to robustly align them with their public benefit purposes in the long term.

In general — public interest organizations

There are several hard problems in public interest corporate governance, including:

There are existing governance mechanisms for mitigating each of these challenges (e.g., fiduciary duties, veto-share and steward-ownership models), but in both theory and practice they seem insufficient to prevent purpose drift in the long term if there are opportunities to gain significant profit or wield significant power. When purpose drifts, it is usually due to:

Arguably a prerequisite to addressing most of the above challenges is having a good mechanism for defining and evaluating adherence to the purpose. What constitutes public benefit? How well is it being served? Before anyone can carry out a public benefit purpose (or align incentives with it, or enforce it), someone has to know what counts as adherence or deviation in the first place.

In this respect, current public interest legal structures are lacking. For example, in Delaware Public Benefit Corporations (PBCs), the board decides what it means to pursue the public benefit, and how to “balance” the public benefit purpose with the pecuniary interests of shareholders. When the PBC structure is used to attempt to robustly align organizations with public benefit purposes, this has fundamental limitations.

For more background on Delaware PBCs, see here.

In particular — frontier AI companies and neolabs

We are interested primarily in the corporate governance of powerful technology companies, and particularly frontier AI companies and neolabs, because they aim to create and wield enormous power, and many of them have already designed mechanisms (theoretically at least) intended to ensure that they maintain a holistic public benefit purpose. Due to the scale of their influence, it is especially important that they are robustly aligned with their public benefit purposes in the long term.

For example, both Anthropic and OpenAI are structured as Delaware PBCs with additional fortifications, including steward entities with special voting shares that determine board selection and other control rights. They both have official public benefit purposes (words to the effect of “benefiting humanity”).

For more background on the legal structures of Anthropic and OpenAI, see here.

While valuable in other ways, these fortifications arguably do not address the core limitations in how the public benefit purposes — both of which are vague, (conceptually) thick, and politically contested — are interpreted and evaluated. In both companies, it seems plausible that significant, societally consequential purpose drift could occur (e.g., via influence over economic activity, human relationships, public discourse, public health, governments, geopolitics, etc.) without any party violating a formal duty with sufficient unambiguousness to trigger meaningful corrective feedback. Plausible scenarios include:

And with such broad, ambitious purposes that implicate the lives of billions of people, it seems:

Without a stronger mechanism for determining what constitutes public benefit, it seems likely that purpose will drift away from the stated public benefit purpose.

Mechanism: public evaluation of public benefit via representative deliberation

We believe that representative deliberative processes (where a randomly selected group of people deliberate together as part of a structured and facilitated decision-making process to respond to a specified remit) can, if used to evaluate the adherence of an organization to its public benefit purpose, substantially mitigate the above limitations. For brevity, we’ll refer to this approach as Public Evaluation of Public Benefit (PEPB).

For more background on representative deliberative processes and their use in other high-stakes contexts, see here.

Rationale

Substantively, PEPB helps to prevent purpose drift by:

Legally, PEPB is a natural operationalization of provisions in the Delaware PBC statute :

Mechanism

There are different ways this could be implemented, but for the purposes of having something to critique and iterate on, here’s a concrete proposal for a PBC with a steward entity.

The deliberative process

A high-level specification for the deliberative process is described below. As the design is refined and piloted, the process could gradually be formalized into a “PEPB Standard.”

We see at least two potential pathways to integrating the PEPB process into the legal structure of the organization (both to require that the deliberative processes are run and to give them meaningful power).

  1. As a third-party standard

    §366(c) of the Delaware PBC statute allows a PBC to, in its Certificate of Incorporation, “require that the corporation … attain a periodic third-party certification addressing the corporation’s promotion of the public benefit or public benefits identified in the certificate of incorporation and/or the best interests of those materially affected by the corporation’s conduct.” A sufficiently mature version of PEPB, conducted with a consistent process design and quality, could be constituted as such a standard, and required in the Certificate of Incorporation.

  2. As a decision-making process for the steward entity

    While limiting board power directly is legally constrained, empowering a steward entity via special stock classes is well-precedented. The steward entity’s constitutional documents could require it to act on PEPB findings, using the process to inform how it exercises its existing oversight powers.

We believe that either of the above pathways can be used to give the process meaningful power, though there are uncertainties (e.g., no case law on what happens when a PBC fails to attain its required third-party certification), and details still to be determined (e.g., exactly what form of influence the process can have over the PBC in the case of a sufficiently positive or negative evaluation).

Viability

Precedents

Representative deliberative processes have a long history (versions were used in ancient Athens and Renaissance Italy), and are frequently run all around the world, most commonly to inform governments — e.g., Ireland, France, Ostbelgien, and the European Commission, among many others — but also increasingly in corporate settings including cooperatives (e.g., MONDRAGON), public utilities (e.g., power, water), and large tech companies (e.g., Meta, Anthropic). Over 1000 processes have been run in recent decades. Lightweight versions of this are also used within corporations for decision-making already.

There is an increasingly mature ecosystem of deliberative practitioners who are qualified to serve as third-party providers of such processes.

Progression

There are several dimensions along which this could be trialed in a low-risk way and, if successful, made progressively more substantive. These include:

The process design and legal integration may need to account for:

Background

Delaware PBCs

In Delaware Public Benefit Corporations (‘PBCs’), questions about what constitutes public benefit are answered as follows :

Essentially, the board decides what it means to pursue the public benefit. When the PBC structure is used to attempt to robustly align organizations with public benefit purposes, this has fundamental limitations.

The PEPB mechanism is applicable to public interest organizations in general, but for reference, we summarize below the legal structures of two frontier AI companies, Anthropic and OpenAI. Both are structured as Delaware PBCs with additional fortifications. Specifically:

Acknowledgements

Thanks to Nicholas Caputo, Joe Edelman, Oliver Klingefjord, Gabriel Levie, Nathan Schneider, Nathan Young, and others for helpful feedback and discussion on these ideas. Any errors or limitations remain those of the authors.

This work was funded by the UK’s Advanced Research + Invention Agency (ARIA) under the Safeguarded AI programme.

Funded by ARIA — Advanced Research + Invention Agency

References

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Citation

In academic contexts, please cite this work using a citation similar to the following.

Thorburn, Luke. 2026. "Public Evaluation of Public Benefit." AI & Democracy Foundation. https://ai-democracy.org/public-evaluation-of-public-benefit/

Here is the BibTeX entry.

@article{public-evaluation-of-public-benefit2026,
  author = {Luke Thorburn},
  title = {Public Evaluation of Public Benefit},
  journal = {AI \& Democracy Foundation},
  year = {2026},
  url = {https://ai-democracy.org/public-evaluation-of-public-benefit/}
}