About HCI
Research on the human side of increasingly intelligent systems
The Human Clarity Institute (HCI) publishes independent, survey-based behavioural research examining how AI is becoming part of human thought, decision-making, trust, work, relationships and everyday life — and what helps people remain grounded, capable and able to flourish alongside it.
What HCI studies
The human side of AI adoption
Most information about AI describes what the technology can do. HCI examines what people report doing, thinking and experiencing as they use it.
The research focuses on behavioural patterns that may be difficult to see from inside an individual routine: when people rely on AI, when they verify it, how it influences decisions, what they disclose to it, which parts of thinking they continue to perform themselves, and how these patterns interact with agency, attention, values and human relationships.
HCI publishes its findings through datasets, benchmarks, reports and explanatory articles. These resources are intended to make emerging patterns in human–AI behaviour easier to observe, compare and discuss.
Why HCI exists
Keeping the human side visible
AI can expand human capability in significant ways. But as increasingly intelligent systems become embedded in everyday thought, work, decisions and relationships, an equally important question emerges: what happens to the person using them?
HCI grew from research into human values, attention, meaning, agency and behavioural alignment — the conditions that help people maintain direction, exercise judgement and remain connected to what matters to them.
That background continues to shape the Institute’s work on AI. HCI is interested not only in whether people adopt these systems, but in how that adoption interacts with human judgement, self-trust, cognitive participation, relationships, values and the ability to remain actively involved in one’s own life.
How do humans remain grounded, capable, and able to flourish alongside increasingly intelligent systems?
What makes HCI different
Measuring the human outcome, not only the technology
Much of the AI landscape is measured through capability, adoption, productivity and system performance.
HCI measures a different side of the transition: what is changing in people as intelligent systems become part of everyday life.
The aim is not to assume that AI makes human behaviour better or worse. It is to make these changes more observable — so that beneficial adaptation can be distinguished from patterns that may gradually reduce human participation, judgement or agency.
Beyond adoption
HCI looks beyond whether people use AI to examine how they use it: what they delegate, what they retain, what they verify and where responsibility continues to sit.
Human capability
The research considers whether people continue to exercise judgement, participate in their own thinking, maintain decision autonomy and preserve capabilities they consider important.
Values and direction
HCI’s human-values background brings attention to whether behaviour remains aligned with a person’s priorities, principles and sense of direction as digital systems become more influential.
Human flourishing
The longer-term concern is not simply whether AI becomes more capable, but whether humans can gain those benefits while remaining grounded, capable, connected and actively engaged in their own lives.
How the research works
Structured evidence with clear boundaries
HCI develops structured survey studies, collects consented responses from adult research participants and analyses the resulting patterns at an aggregate level.
The current published research spans 21 survey studies and more than 10,500 completed survey responses. Study documentation and underlying datasets are published through the HCI Data Library wherever possible.
- Survey-based: findings primarily reflect what participants report about their own behaviour and experience.
- Descriptive: observed associations do not establish that AI caused a particular outcome.
- Not clinical: HCI research and assessments do not diagnose psychological or medical conditions.
- Not universal norms: participant benchmarks should not be interpreted as nationally or globally representative population standards.
Ongoing work
Following human change as it emerges
AI is changing quickly, and human behaviour is changing alongside it.
HCI will continue to build new studies, expand its behavioural benchmarks and revisit the same important human questions over time — allowing emerging changes in trust, reliance, judgement, agency, attention and relationships with AI to become more visible.
The Institute does not assume there is one correct way for people to use AI. Different people will use these systems in different ways and for different purposes.
What matters is that the human consequences of this transition remain observable.
HCI’s longer-term purpose is to help build the evidence needed to understand how people can gain the benefits of increasingly capable AI while remaining active participants in their own thinking, decisions, relationships and lives.
Ultimately, the question is not simply how capable AI becomes. It is how humans continue to remain capable, grounded and able to flourish alongside it.
Explore HCI
Research, data and public findings
HCI’s published work can be explored directly through its reports, participant benchmarks, datasets and research-led insights.