The informational argument for inclusive design has empirical foundations in North's historical work. Societies whose institutional frameworks emerged through broad political participation — England after the Glorious Revolution, the Netherlands in the Dutch Republic, the United States through its constitutional founding and subsequent democratic development — exhibited sustained adaptive capacity that societies with narrower participation did not achieve. The explanation was not primarily about legitimacy but about information: broadly participatory institutions could sense and respond to conditions that narrower institutions could not perceive.
The AI transition presents an extreme case of the distributed knowledge problem. The technology is being deployed across every domain of professional and personal life simultaneously. No single expert community — AI researchers, labor economists, educators, regulators — possesses adequate knowledge of how the technology is being used, what consequences it is producing, or what institutional responses would serve the affected populations. The knowledge is distributed across millions of workers, students, parents, professionals, and citizens whose lived experience of the transition contains information that no expert body can replicate.
Segal's insistence in You On AI that the displaced must stay in the room — the lesson drawn from the Luddites, who removed themselves from the conversation about how the transition would unfold — is, in institutional terms, a call for inclusive design. But participation requires capacity, and capacity requires institutions. The displaced worker who has lost income does not have the time, energy, or organizational resources to participate. The parent worried about her children does not have access to the policy forums where AI governance is discussed. The teacher struggling to evaluate AI-assisted work does not have a seat at the table where educational standards are being reconsidered.
The institutional void is self-reinforcing: the absence of institutions that would empower broad participation means that the framework is designed by the narrow few who do not need institutional support to participate. Breaking this cycle requires deliberate construction of participatory infrastructure — empowered participatory governance mechanisms, minipublics, standing bodies with genuine authority, accessible forums for the affected to contribute to institutional design. The historical pattern North documented — that voids are filled by the powerful in their own interest — will produce extractive outcomes unless counteracted by inclusive infrastructure that empowers the broad population to participate in design.
North developed the inclusive design framework across his comparative historical work, particularly in Structure and Change in Economic History (1981) and subsequent studies of why some societies successfully transitioned to sustained growth while others stagnated. His later collaboration with Wallis and Weingast in Violence and Social Orders (2009) extended the framework to the transition between limited and open access orders.
The framework parallels work by Elinor Ostrom on commons governance, Amartya Sen on participatory development, Archon Fung on empowered participatory governance, and James Fishkin on deliberative democracy. Its application to AI governance is emerging through initiatives including the Collective Intelligence Project, participatory AI governance experiments, and the work of AI labs on soliciting broader input into development decisions.
Distributed knowledge cannot be centralized. The information needed for good institutional design is held by the affected, not the experts, and cannot be transferred through standard consultation processes.
Exclusion is economically costly. Frameworks designed without affected populations serve designers at the expense of those affected, producing the extractive outcomes that eventually destabilize the arrangements.
Participation requires capacity. Meaningful inclusion demands institutional infrastructure — forums, resources, authority — that those excluded from existing structures lack by definition.
The void reinforces exclusion. When institutional infrastructure for broad participation is absent, the powerful fill the void in their own interest, making subsequent inclusive design progressively harder.
Inclusive design is slower but more durable. Frameworks that incorporate distributed knowledge adapt better and resist destabilization by excluded populations whose interests were ignored.
Critics argue inclusive design conflicts with expertise-based governance, producing outcomes that incorporate uninformed preferences at the expense of technical competence. Defenders respond that expertise is not negated by inclusion — it is supplemented by knowledge that experts cannot access. The practical challenge is designing mechanisms that combine expert analysis with distributed knowledge in ways that produce good outcomes rather than either technocratic or populist failures.