Delegated Action & Responsibility 2026 (Dataset, n = 344)

This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025–2026 data series. It examines delegated digital action and responsibility attribution in AI-mediated environments, including comfort with AI delegation, monitoring behaviour, intervention thresholds, and perceived responsibility for negative outcomes. The dataset includes:• validated 1–7 Likert-scale items• agency and decision-intervention threshold measures• behavioural monitoring and responsibility attribution indicators• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• digital life exposure (daily hours online) and AI-tool usage frequency Data were collected on 2026-02-11 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes: • canonical snake_case variable naming• validated numeric ranges• standardised multi-select formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files This dataset contributes to understanding how individuals delegate decision authority to AI systems, monitor automated outputs, and assign responsibility when outcomes are uncertain or negative, supporting longitudinal tracking of agency calibration and responsibility perception in the evolving cognitive relationship between humans and AI in everyday life.