Governing authority, accountability, and trust in AI-driven change
AI initiatives rarely fail because the technology does not work. They fail because leadership does not adapt when algorithms begin influencing decisions. As AI enters projects and operations, authority blurs, accountability weakens, and trust erodes long before implementation.
This session focuses on the leadership and governance breakdowns that cause AI-driven change to stall early. Drawing on real transformation and recovery work, it examines why fear and certainty loss appear before resistance becomes visible, how leaders unintentionally accelerate pushback, and why training alone does not create readiness. Participants leave with a practical leadership lens for governing AI-enabled initiatives that protects judgment, clarifies decision rights, and maintains trust without slowing innovation.
Learning Outcomes:
- How to define decision rights when AI influences outcomes
- Early warning signs that trust and authority are eroding
- Governance principles leaders can apply immediately
Stream: Aspiring Leaders
Format: Breakout Session
Ideal Industries: Arts & Museums; Community Services; Higher Education; and International Aid