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AI Fails Because of Broken Governance, Not Bad Models | Dr. Tuboise Floyd
17th June 2026 • The AI Governance Briefing with Dr. Tuboise Floyd • Dr. Tuboise Floyd, PhD
00:00:00 00:01:21

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AI Fails Because of Broken Governance, Not Bad Models

Description:

Most institutions will not fail because of a bad AI model. They will fail because of the governance structure around it.

AI does not invent new blind spots. It automates the ones your institution already has. The Workflow Thesis is a three-layer framework, governance, protocols, and work processes, that keeps human oversight in place, catches failure early, and holds an audit trail, across federal agencies, universities, and enterprises, without buying new software.

I am Dr. Tuboise Floyd, Founding Pedagogical Theorist of AI Governance and founder of Human Signal. I reverse-engineer real AI failures and teach the structures that prevent them.

More:

The AI Governance Briefing podcast → theaigovernancebriefing.com

The Workflow Thesis on SSRN → ssrn.com/abstract=6644860

Human Signal → humansignal.io

Subscribe for weekly AI governance breakdowns. Then tell me in the comments: where is AI automating a blind spot in your institution right now?

Read the Workflow Thesis paper on SSRN: https://ssrn.com/abstract=6644860

More from Human Signal: humansignal.io

TAIMScore™ measured for trust: https://humansignal.io/#measured-for-trust

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ABOUT THE HOST

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Dr. Tuboise Floyd, PhD is the Founder and Chief Sensemaking Officer of Human Signal, Editor in Chief of The AI Governance Record, and a TAIMScore™ Certified Assessor. He holds a PhD from Auburn University and is a member of the HISPI Advocacy & Education Working Group (Project Cerebellum).

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CONNECT

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Website: humansignal.io

Podcast: theaigovernancebriefing.com/podcast

LinkedIn: linkedin.com/in/drtuboisefloyd

Email: [email protected]

Govern the machine. Or be the resource it consumes.

#AIGovernance #WorkflowThesis #AIRisk #ResponsibleAI #HumanOversight



This podcast uses the following third-party services for analysis:

OP3 - https://op3.dev/privacy

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