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Society & Institutions

INTELLIGENCE IN REAL LIFE

Society & Institutions — Designing conditions in which citizens across cognitive profiles can participate

Institutions shape whether cognitive differences become barriers. Policy can either require citizens to compensate for unnecessary complexity or create conditions in which people with diverse cognitive profiles can act, decide and participate effectively.

01

Institutions distribute cognitive demands

Every public system asks citizens to perform tasks: understand rules, remember deadlines, compare options, provide evidence, detect mistakes, appeal decisions and coordinate with multiple organisations. These demands are not neutral. They can draw on literacy, numeracy, working memory, planning, attention, digital skills and prior knowledge. Cognitive burden is one mechanism of institutional inaccessibility, not an explanation for every inequality: money, law, discrimination, language, physical access, digital access and power also shape participation.

When systems become more complex, they effectively raise the cognitive threshold for successful participation.

02

Cognitive accessibility should be a policy objective

Accessibility is often considered after a system has been designed. HIW's framework suggests that cognitive diversity should be part of design from the beginning. Policies and services can be evaluated for memory load, branching complexity, language, numeracy, time pressure, error recovery and the amount of self-organisation required.

The objective is not to eliminate thought from civic life. It is to make sure essential access does not depend on cognitive demands unrelated to the substantive decision.

03

Burden falls hardest when resources are already reduced

Research on administrative burden describes a catch-22: factors such as scarcity, health problems and age-related cognitive decline can increase a person's need for government assistance while reducing the executive resources needed to obtain it. This is an unusually clear example of conditions converting cognitive differences into unequal access.

Institutions can respond through automaticity, reminders, assisted routes, better sequencing, interoperable records, accessible communication and processes that allow error correction.

04

Policy should anticipate different profiles and states

Citizens differ not only in stable ability but in disability, language, education, age, health and current state. Someone interacting with an institution may be bereaved, ill, frightened, financially stressed or caring for another person. Designing only for a calm, healthy, digitally fluent user creates predictable exclusion.

Public systems therefore need multiple legitimate routes to the same outcome rather than a single supposedly efficient pathway.

05

Assessment and allocation require particular care

Institutions use tests, credentials, forms and algorithms to allocate opportunities and resources. HIW can help ask whether those mechanisms measure the capability that matters or a mixture of the target construct and incidental demands.

This does not require abandoning assessment. It requires better construct definition, validation and accommodation.

06

AI could lower barriers — or create new ones

AI can translate, explain, draft, retrieve and navigate. That may reduce cognitive barriers in public services. But automated decision systems can also make institutional reasoning harder to inspect and challenge. Citizens with more knowledge or resources may be better able to detect and contest mistakes.

The policy question is therefore not simply whether an institution uses AI, but whether the resulting human–institution system increases effective agency and equitable access.

07

What HIW should investigate

Which institutional tasks create the greatest avoidable cognitive burden? Which cognitive profiles are disproportionately excluded by current procedures? How should policy account for fluctuating capacity as well as permanent disability? Which supports preserve informed choice? How should public-sector AI be designed so citizens can understand, verify and challenge consequential outputs?

A cognitively inclusive society does not assume that everyone thinks in the same way. It designs essential institutions so that different cognitive profiles can still participate meaningfully.

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