Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

This dataset is part of the Human Clarity Institute’s <b>AI–Human Experience 2025</b> data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning<br>• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation<br>• multi-select variables stored as canonical semicolon-delimited snake_case tokens <i>(none included in this dataset)</i><br>• open-text reflections with minimal safe cleaning (trim + newline removal only)<br>• demographic variables across six English-speaking countries<br>• AI-tool usage frequency and participation context variablesData were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.<br>All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming<br>• validated numeric ranges<br>• standardised categorical formats<br>• minimal safe text cleaning<br>• full alignment with the accompanying data dictionary<br>• removal of Prolific IDs and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.