Preserving Human Agency: Designing AI That Supports Judgment

As AI reshapes professional work, this episode examines how algorithmic systems can both empower and erode human agency—operational, epistemic, and developmental—and why maintaining meaningful control matters for quality, trust, and worker wellbeing.

Drawing on research and policy developments, it outlines evidence-based responses: calibrated transparency, co-design and participatory governance, capability-building for hybrid expertise, and human-centered workflow design to prevent complacency and skill loss.

It concludes with practical recommendations for dynamic reconfiguration, collective oversight, and purpose-aligned AI integration so organizations can capture AI’s benefits without sacrificing human judgment or long-term capability.