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AI Fails Because of Broken Governance, Not Bad Models | Dr. Tuboise Floyd

Published on: 17th June, 2026

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: tuboise@theaigovernancebriefing.com

Govern the machine. Or be the resource it consumes.

#AIGovernance #WorkflowThesis #AIRisk #ResponsibleAI #HumanOversight



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About the Podcast

The Briefing with Dr. Tuboise Floyd
AI · Quantum · Cyber · Decision Assurance · Human Signal
ABOUT THE PODCAST

The Briefing with Dr. Tuboise Floyd

The Briefing is for leaders who build, approve, procure, govern, or certify consequential technology.

Hosted by Dr. Tuboise Floyd, Founder and Principal, Decision Assurance at Human Signal, the show examines the operating reality beneath technology strategy: decision authority, accountability, controls, evidence, critical infrastructure, and the conditions that produce institutional failure.

The market is crowded with technology noise, checklists, and compliance theater. The Briefing focuses on the harder question:

What governance infrastructure must exist before autonomous and emerging systems create exposure that leadership cannot explain, defend, or control?

Episodes use Human Signal’s TAIMScore™, GASP™ Diagnostic, L.E.A.C. Protocol™, and Failure Files™ approaches to examine real-world failures, identify structural risk, and surface the decisions leaders must make before scrutiny arrives.

Produced with Creative Director Jeremy Jarvis, The Briefing covers AI governance, cyber risk, post-quantum readiness, critical infrastructure, government contracting, and the builder economy.

New episodes, visual briefings, and practical playbooks:

https://humansignal.io/thebriefing

The Briefing is a Human Signal production. Human Signal is an independent decision-assurance advisory and research platform.

DISCLOSURE

All episode content, including analysis, case studies, and framework applications, is provided for educational and informational purposes only. Nothing in this podcast constitutes legal, regulatory, compliance, financial, or professional advice. Listening to or engaging with this content does not create an advisory or consulting relationship.

Guest opinions are their own and do not necessarily represent the views of Human Signal or Dr. Tuboise Floyd. Case studies and institutional-failure analyses use publicly available information and are presented as educational tools, not legal findings or regulatory determinations.

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© 2026 Dr. Tuboise Floyd. All rights reserved.
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