Measuring how AI is reshaping human thinking, decision-making, trust, and lived experience.
The Human Clarity Institute (HCI) is an independent research institution that publishes population-scale behavioural data and longitudinal research on how AI is reshaping human behaviour, cognition, trust, and lived experience. HCI helps make these changes visible and understandable over time — building a clearer human understanding of life in increasingly intelligent environments.
Making shifts in thinking, decision-making, trust, identity, and lived experience visible and comparable over time.
20+
Datasets
9,800+
Participants
6
Countries
Population-scale
Behavioural data
Our research focuses on three key dimensions of human experience:
Attention & Cognition
How focus, distraction, mental load, and cognitive clarity change as AI becomes part of daily life — and what this means for attention, intentionality, and everyday thinking.
Trust & Information Judgement
How people assess what is real, credible, trustworthy, and meaningful in AI-mediated environments — and how this shapes trust, judgement, and confidence.
Agency, Identity & Values
How autonomy, self-trust, identity, and alignment with values and meaning shift as intelligent systems increasingly influence decisions.
HCI’s research is guided by one defining question:
How do humans remain grounded, capable, and able to flourish alongside increasingly intelligent systems?
What is changing right now
As AI becomes embedded in everyday life, measurable shifts in human behaviour are becoming increasingly visible across both experience and data.
AI is being used for real-world decision-making
People are increasingly turning to AI as a first step for thinking, problem-solving, and decisions — particularly when cognitive demands are high.
Reliance on AI increases under uncertainty
AI is increasingly used not only for clarity, but also for reassurance when confidence is low or outcomes are unclear.
Determining what is real is becoming harder
As AI-generated content increases, it is more difficult to assess what is real, credible, and reliable.
Cognitive load is increasing with AI use
Despite automation, the effort required to process information, verify outputs, maintain clarity, and make decisions is rising.
Key findings from HCI research
Directional shifts observed across HCI datasets on how AI is changing human behaviour.
58%
rely on AI when decisions feel difficult
In HCI’s Decision-Making and Digital Systems 2026 dataset, participants report turning to AI as a starting point when decisions feel difficult or uncertain.
62%
feel frustrated and busy without making progress
Data from the Focus and Distraction 2025 dataset shows that many participants feel busy and mentally engaged without making meaningful progress.
89%
say it is harder to know what is real online
The Digital Trust 2025 dataset finds that determining what is real, credible, or trustworthy online has become significantly more difficult for participants.
54%
worry about becoming dependent on AI systems
Findings from the AI Cognitive Load, Fatigue & Decision Offloading 2025 dataset show growing concern about becoming reliant on AI systems over time
Explore the Evidence
HCI provides open datasets, reports, and question-based analysis designed to help individuals, researchers, organisations, and AI teams better understand how human behaviour and lived experience are changing as AI becomes part of everyday life.
Data
Population-scale datasets and structured summaries tracking changes in human behaviour over time.
Questions
Clear, evidence-based answers to real-world questions about focus, trust, and decision-making.
Who HCI is for
HCI’s datasets and reports are designed for people and organisations seeking a clearer understanding of how increasingly intelligent systems are affecting human experience, behaviour, trust, cognition, and decision-making — using structured data rather than opinion.
Professionals and knowledge workers
Individuals who rely on clear thinking and judgement in their work, and want to understand how AI and digital environments influence focus, confidence, and decision quality.
AI product and research teams
Teams building or evaluating AI systems who need measurable evidence of how these systems affect human behaviour — including trust, reliance, and cognitive load.
Researchers and institutions
Organisations seeking structured, population-scale data on human experience in AI-mediated environments, with consistent measurement across datasets and time.
Individuals experiencing change
People recognising shifts in how they think, focus, trust information, relate to technology, or make decisions — and seeking clear, evidence-based understanding of those changes.
Why human measurement matters in the AI era
AI and digital systems increasingly shape the conditions in which people think, decide, behave, work, and relate to the world. But human experience is not directly visible — either to the systems people use or to those who design them.
Changes in judgement, trust, attention, agency, meaning, and lived experience cannot be reliably inferred from system behaviour alone. Understanding how humans adapt and flourish alongside increasingly intelligent systems requires deliberate human-centred measurement over time.
These shifts are not only about what is changing, but also about what humans attempt to preserve — including clarity, agency, trust, meaning, and the ability to think and decide independently.
HCI makes these changes observable at a population level — turning individual experience into structured, comparable evidence.
Clarity is becoming a defining human advantage as AI reshapes the world.
Built for measuring human experience at scale
HCI (Human Clarity Institute) is designed as an open system of datasets and analysis for measuring how human behaviour is changing as AI becomes part of everyday life — using consistent methods across datasets, populations, and time.
The institute combines behavioural measurement, longitudinal observation, and human-centred interpretation to better understand both adaptation and flourishing under increasingly intelligent conditions.
Longitudinal measurement
Tracking how human behaviour changes over time using consistent, repeatable measurement across datasets.
Population-scale data
Collected across multiple countries and demographic groups.
Consistent measurement frameworks
Enabling comparison across datasets and over time.
Open datasets on human behaviour and AI
Designed for transparency, reuse, and external analysis.
Human Signal Lab
Human Signal Lab produces structured datasets designed for AI evaluation, product development, and alignment research — capturing forms of human responses that cannot be inferred from system behaviour alone.
Collaboration
HCI works with researchers, organisations, and partners to expand datasets, refine measurement, and deepen understanding of human experience in the age of AI.