Interview Dataset on McDonaldization in Artificial Intelligence Systems

This dataset contains structured responses from 50 professionals across diverse roles in artificial intelligence (AI), digital governance, algorithm auditing, and technology policy. The interviews were designed to explore how the sociological theory of McDonaldization\u2014comprised of the principles of efficiency, calculability, predictability, and control\u2014manifests in the design, deployment, and governance of AI systems. The dataset supports qualitative and mixed-method research in AI ethics, digital sociology, and algorithmic accountability.