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Who is responsible for Shadow AI in an organization? Should IT or HR own AI governance? Who should be accountable for unapproved AI tools? How do you assign AI accountability across departments? What role does the C-suite play in AI governance?

IT thinks it's HR's job. HR thinks it's IT's job. Legal thinks it's a compliance issue. Leadership thinks it's an operational issue. And meanwhile, 80% of your employees are using unapproved tools because no one actually owns the solution.Breaking down the Shadow AI Accountability Framework—a clear model for who owns what, who's responsible for what, and how to create cross-functional accountability that actually works.

This isn't about blame. It's about clarity.

What You'll Learn:

• Why Shadow AI persists when accountability is unclear
• The 5 roles that must exist for AI governance to work
• How to map accountability across your organization
• Why "the CEO owns AI" doesn't actually work
• How to create a RACI model for Shadow AI that people actually follow

80% of AI implementations stalling due to lack of expertise (Kelly Services)

• 74% of CEOs rank AI as top priority, only 13% feel ahead on adoption (KPMG)

This is the episode that answers "whose job is this anyway?" And it gives you the framework to actually assign accountability in a way that drives results.

My book "The Coach's Brain Meets AI" is available on Amazon,

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AI Cafe Conversations: Neuroscience-based AI leadership for executives. Hosted by Sahar (The AI Whisperer) | New episodes Wed & Fri

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