Human-centred architecture
Build systems that strengthen people as well as complete tasks.
Human flourishing requires more than efficiency. It requires agency, inclusion, capability development, social context and outcomes that can be examined over time.
01Beyond Efficiency Alone
Efficiency can be valuable, but it is not a complete account of human progress. A system may reduce time or cost while weakening judgement, autonomy, craftsmanship or social trust. Design should therefore ask not only what a person can complete faster, but what capabilities, relationships and choices remain stronger afterward.
02Agency, Consent and Contestability
People affected by consequential AI decisions should have meaningful ways to understand the system’s role, exercise control, challenge important outcomes and seek human review where appropriate. Consent should not be manufactured through complexity, fatigue or the absence of a practical alternative.
03Capability, Not Dependency
The strongest human–AI relationship is not one in which technology makes people permanently less able to act without it. Systems should help users develop understanding, retain transferable knowledge and make informed choices. Assistance becomes more durable when it strengthens the person as well as completing the task.
04Inclusion Is an Engineering Question
Language, disability, income, geography, age, culture and access to infrastructure all shape who benefits from AI and who bears its errors. Inclusion requires more than broad availability: it requires testing across contexts, identifying distributional effects and designing for people who are usually absent from the default dataset or interface.
05Technology Enters Social Systems
AI does not operate in isolation. It enters families, workplaces, markets, schools, healthcare settings, public services and cultural communities. Responsible design must consider how technology changes authority, incentives, professional roles and trust—not merely whether a technical component performs as specified.
06Flourishing Must Be Measurable
Claims of social benefit should be connected to observable outcomes and examined over time. Relevant measures may include accessibility, user control, capability development, error distribution, time returned to meaningful activity, quality of decisions and unintended harm. No single metric can represent a good human future, but the absence of measurement leaves aspiration unaccountable.