Agentic Artificial Intelligence Simulators for Leadership and Ethical Decision-Making Development: Data from Field Experiment

This dataset supports the study \u201cAgentic Artificial Intelligence Simulators for Leadership and Ethical Decision-Making in Agile Software Teams.\u201d It includes anonymized data from 100 participants across 12 agile teams, comparing traditional role-play with an agentic AI simulator designed to enhance leadership and ethical decision-making. Data comprise pre\/post measures of leadership, ethics, and decision quality, along with simulator telemetry such as exploration ratio, autonomy exposure, and override frequency. All data are anonymized and suitable for replication or secondary analysis of AI-assisted training, decision dynamics, and human\u2013AI collaboration in software engineering contexts.