
Managing AI: Accountability, Governance, and the Skills We Never Learned
Is AI just another tool, or something that requires you to manage it? In this episode of the Scrum.org Community Podcast, Dave West talks with Darrell Fernandes about his paper, “The Hidden Management Gap in AI Adoption.” Darrell explains why AI sits in a gray area: more than a compiler or a database, but certainly not a human. Because it infers, and may not give the same answer twice, working with it well calls for skills that have traditionally belonged to managers, and that most individual contributors were never given the chance to build. Drawing on the work of Michael Watkins and Patrick Lencioni, Dave and Darrell discuss: Why you remain accountable for AI output, even when you didn’t write it The “automation deference” failure mode and how polished output can hide hallucinations How regulation and organization size shape where AI governance gaps show up Why review bottlenecks can’t simply be escalated to senior leaders One simple practice you can start today: writing a RACI before you engage AI in a workflow Read the paper: https://www.scrum.org/resources/hidden-management-gap-ai-adoption













