Associate Professor Miles Yang is a researcher whose work explores how AI, performance targets, and data-driven systems shape behaviour in modern organisations. His research challenges assumptions about stretch goals and examines when they motivate—or undermine—performance. More recently, he has focused on how algorithmic management affects gig workers’ autonomy, trust, and everyday experiences. Miles’ work bridges strategic management, data science, and HR, contributing to both academic understanding and public discussions about the future of work in AI-mediated environments.
Summary: AI-driven systems increasingly manage gig workers by assigning tasks, evaluating performance, and shaping everyday… Read More »When AI Becomes Your Boss: How Explainable AI Can Improve Gig Work