AI Safety, Risk Perception & Boundary Behaviour 2025 (Dataset)

This dataset is part of the Human Clarity Institute’s <b>AI–Human Experience Data Series</b>. It measures how adults perceive AI safety, assess risk levels, identify boundary-crossing behaviour, and decide when to trust, question, or disengage from AI systems.The dataset includes:<br>• 1–7 Likert-scale items on AI safety, risk, uncertainty, trust, misuse concerns, and boundary comfort<br>• scenario-based responses measuring behavioural caution and risk thresholds<br>• a multi-select values item<br>• an open-text reflection on AI safety concerns<br>• demographic variables across six English-speaking countriesData were collected via Prolific in 2025 from adults across the UK, US, Australia, Canada, New Zealand, and Ireland. All data were cleaned, anonymised, and verified according to the Human Clarity Institute’s open-data publication protocol.This dataset supports ongoing research into how AI systems shape user trust, perceived safety, boundary sensitivity, and behavioural responses in emerging AI environments.