Podcast thumbnail for Human Signal

Human Signal

Claim This Podcast

by Dr. Tuboise Floyd, PhD

5.0(3 reviews)
40 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

About the Podcast The AI Governance Briefing with Dr. Tuboise Floyd The AI Governance Briefing serves operators navigating institutions disrupted by artificial intelligence. Hosted by Dr. Tuboise Floyd — founder, researcher, and principal analyst at Human Signal. The market has split in two. The consumption economy trades in noise, checklists, and compliance theater. The investment economy trades in signal infrastructure, physics, and sovereignty. The AI Governance Briefing serves the investment economy as its intelligence feed. We do not trade in content. We trade in leverage. Each episode applies the TAIMScore™ framework, GASP™ diagnostic, L.E.A.C. Protocol™, and the Failure Files™ instrument to reverse-engineer real institutional AI failures, and to build governance infrastructure before autonomous systems break the institution. Produced with Creative Director Jeremy Jarvis, the show covers asymmetric strategy, critical infrastructure, and the physics of risk for government contracting and builder sectors. New episodes, visual briefs, and honest playbooks at https://theaigovernancebriefing.com/podcast © 2026 Dr. Tuboise Floyd. All rights reserved. Episode content applies the TAIMScore™ framework, GASP™ diagnostic, L.E.A.C. Protocol™, and the Failure Files™ instrument. The AI Governance Briefing publishes under Human Signal. The AI Governance Briefing operates as an independent media and research platform. All episode content, including analysis, case studies, and framework application, is provided for educational and informational purposes only. Nothing in any episode constitutes legal, regulatory, compliance, financial, or professional advice. No advisory or consulting relationship is created by listening to or engaging with this content. Guest opinions are those of the guest alone and do not represent the positions of Human Signal or Dr. Tuboise Floyd. Case studies and institutional failure analyses are based on publicly available information and are presented as pedagogical tools, not legal findings or regulatory determinations. This podcast uses the following third-party services for analysis: OP3 — https://op3.dev/privacy © 2026 Dr. Tuboise Floyd. All rights reserved. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Language

🇺🇲

Publishing Since

10/21/2025

3 verified contact emails on file for Human Signal

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

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

June 17, 2026

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

<p>AI Fails Because of Broken Governance, Not Bad Models</p><p></p><p>Description:</p><p>Most institutions will not fail because of a bad AI model. They will fail because of the governance structure around it.</p><p></p><p>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.</p><p></p><p>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.</p><p></p><p>More:</p><p>The AI Governance Briefing podcast → theaigovernancebriefing.com</p><p>The Workflow Thesis on SSRN → ssrn.com/abstract=6644860</p><p>Human Signal → humansignal.io</p><p></p><p>Subscribe for weekly AI governance breakdowns. Then tell me in the comments: where is AI automating a blind spot in your institution right now?</p><p><strong>Read the Workflow Thesis paper on SSRN: <u><a href="https://ssrn.com/abstract=6644860" rel="noopener noreferrer" target="_blank">https://ssrn.com/abstract=6644860</a></u></strong></p><p>More from Human Signal: humansignal.io</p><p>TAIMScore™ measured for trust: https://humansignal.io/#measured-for-trust</p><p>──────────────────────────────────────</p><p>ABOUT THE HOST</p><p>──────────────────────────────────────</p><p>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 &amp; Education Working Group (Project Cerebellum).</p><p></p><p>──────────────────────────────────────</p><p>CONNECT</p><p>──────────────────────────────────────</p><p>Website: humansignal.io</p><p>Podcast: theaigovernancebriefing.com/podcast</p><p>LinkedIn: linkedin.com/in/drtuboisefloyd</p><p>Email: tuboise@theaigovernancebriefing.com</p><p>Govern the machine. Or be the resource it consumes.</p><p></p><p>#AIGovernance #WorkflowThesis #AIRisk #ResponsibleAI #HumanOversight</p><br/><br/>This podcast uses the following third-party services for analysis: <br/><br/>OP3 - https://op3.dev/privacy

Episode thumbnail for Governing AI as Critical Infrastructure | Dr. Tuboise Floyd, AFCEA TechNet Cyber 2026

June 16, 2026

Governing AI as Critical Infrastructure | Dr. Tuboise Floyd, AFCEA TechNet Cyber 2026

<p>A deepfake of two people fighting. Footage that was never filmed. No hack. No intrusion. The system did its job. The AI governance problem hides exactly there.</p><p></p><p>From the AFCEA TechNet Cyber 2026 stage in Baltimore, Dr. Tuboise Floyd reframes the AI threat to critical infrastructure. The danger rarely arrives as an outside breach. It walks in as an authenticated user, fully trusted, turning AI tools toward harm: a flag officer issuing an order he never gave, a grid operator on a verification call that never happened. The fix runs through structure, crosswalking control against ISO/IEC 42001 and NIST, turning each failure into a teaching object, and auditing the AI tools already inside your walls.</p><p></p><p>Chapters</p><p>0:00 Pedagogy and the Project Cerebellum AI database</p><p>0:24 The deepfake that was never filmed</p><p>1:25 The real threat is not access</p><p>2:00 Crosswalking control to ISO/IEC 42001 and NIST</p><p>2:39 Who actually owns the failure</p><p>3:01 Audit what already runs in your environment</p><p>3:16 When AI costs the same as human labor</p><p></p><p>Links</p><p>Human Signal: https://humansignal.io</p><p>The AI Governance Briefing: https://theaigovernancebriefing.com</p><p>Failure Files: https://aigovernancefailures.com</p><p>Measured for Trust: https://humansignal.io/#measured-for-trust</p><p>The Workflow Thesis (SSRN): https://ssrn.com/abstract=6644860</p><p></p><p>Panel</p><p>Dr. Tuboise Floyd, Founder and Chief Sensemaking Officer, Human Signal</p><p>Karen Jackson, Apogee Strategic Partners</p><p>Taiye Lambo, HISPI Project Cerebellum</p><p>Moderator: COL Kathy Swacina, USA (Ret.), Kolibri Strategy and Project Cerebellum</p><p>Event: AFCEA TechNet Cyber 2026, Baltimore, MD</p><p></p><p>TAIMScore and the TAIM control standards belong to Taiye Lambo and HISPI.</p><p></p><p>Govern the machine. Or be the resource it consumes.</p><p></p><p>#AIGovernance #CriticalInfrastructure #Deepfakes #ZeroTrust #TechNetCyber</p><p>──────────────────────────────────────</p><p>ABOUT THE HOST</p><p>──────────────────────────────────────</p><p>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 &amp; Education Working Group (Project Cerebellum).</p><p></p><p>──────────────────────────────────────</p><p>CONNECT</p><p>──────────────────────────────────────</p><p>Website: humansignal.io</p><p>Podcast: theaigovernancebriefing.com/podcast</p><p>LinkedIn: linkedin.com/in/drtuboisefloyd</p><p>Email: tuboise@theaigovernancebriefing.com</p><p></p><p>Govern the machine. Or be the resource it consumes.</p><br/><br/>This podcast uses the following third-party services for analysis: <br/><br/>OP3 - https://op3.dev/privacy

Episode thumbnail for Dr. Rhonda Farrell: AI Doesn't Break Your Organization. It Reveals It.

April 23, 2026

Dr. Rhonda Farrell: AI Doesn't Break Your Organization. It Reveals It.

<p><strong>Most organizations are not failing because they lack effort. They are failing because policy, process, people, and platforms were never designed to operate as an integrated system.</strong></p><p><strong>AI does not fix that system. AI reveals it.</strong></p><p>In this Guest Feature, Dr. Tuboise Floyd sits down with Dr. Rhonda Farrell — United States Marine Corps veteran, ASQ Fellow, IEEE Senior Member, ISSA Distinguished Fellow, and Founder of the Cyber &amp; STEAM Global Innovation Alliance — for a field report from inside the DoD, DHS, NSA, Department of State, and the broader intelligence community on what functional AI governance actually requires.</p><p>Her thesis: AI is a forcing function. And pressure does not break solutions. It reveals them.</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🔑 KEY IDEAS</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>▪ Why high-performing people keep drowning inside low-performing ecosystems ▪ The difference between performative compliance and mission-functional compliance ▪ Why policy without an execution path is just theory ▪ The four-P traceability model: Policy → Process → People → Platforms ▪ How to sequence NIST CSF, CMMC, NIST AI RMF, and TAIMScore™ as a phased maturation program ▪ The Monday Morning Move — a live exercise leaders can run tomorrow ▪ Why pressure does not break solutions. It reveals them.</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🎙 CHAPTERS</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>00:00:00 — Open: The Veteran's Diagnosis</p><p>00:02:00 — High-Performing People, Low-Performing Ecosystems</p><p>00:05:00 — The Design Problem: Why Integration Was Never Built</p><p>00:10:00 — Policy → Process → People → Platforms: The Traceability Model</p><p>00:12:00 — Performative vs. Mission-Functional Compliance</p><p>00:14:00 — AI as the Forcing Function</p><p>00:17:00 — Sequencing NIST CSF, CMMC, NIST AI RMF, and TAIMScore™</p><p>00:20:00 — Policy Without Execution Is Just Theory</p><p>00:25:00 — The Design Shift: From Frameworks to Operationalization</p><p>00:32:00 — The Monday Morning Move</p><p>00:37:00 — Pressure Does Not Break Solutions. It Reveals Them.</p><p>00:39:00 — Where to Follow Dr. Farrell's Work</p><p>00:41:00 — Close: Govern the Machine or Be the Resource It Consumes</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>📺 WATCH ON YOUTUBE</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>https://youtu.be/ACe9px5XZZ8</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>📰 COMPANION PIECES</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>▶ Issue 015 of The AI Governance Record (written companion): https://theaigovernancerecord.com/record/issue-015</p><p>▶ Subscribe to the newsletter: https://theaigovernancerecord.com/newsletter</p><p>▶ Deep-dive blog: https://theaigovernancebriefing.com/blog</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🎟 LIVE EVENT — MAY 14, 2026</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p><strong>Human Signal Town Hall — The Strict Reality of AI Governance</strong></p><p>Dr. Rhonda Farrell is a confirmed speaker.</p><p>50 seats. $97 pre-sale through April 30. $147 from May 1. Reserve: https://humansignal.io/townhall</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>📄 READ THE POSITION PAPER</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>The Pedagogy Problem in AI Governance — Dr. Tuboise Floyd's foundational position paper. Available on SSRN and at humansignal.io/position-paper. DOI: 10.2139/ssrn.6549178</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🎓 TAIMSCORE™ ASSESSOR WORKSHOP</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>Want to measure your organization's AI governance maturity against a standard? Dr. Floyd is a TAIMScore™ Certified Assessor (HISPI). https://humansignal.io/taimscore</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>📚 FAILURE FILES™</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>Governance pedagogy through real AI failure analysis. Free public instrument from Human Signal, underwritten by Project Cerebellum. https://humansignal.io/failure-files</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>👤 ABOUT THE GUEST</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>Dr. Rhonda Farrell, DM, MS, MBA, CISSP, PMP, LSSMBB, is Executive Advisor, Transformation Strategist, and Founder &amp; CEO of Global Innovation Strategies and the Cyber &amp; STEAM Global Innovation Alliance. A United States Marine Corps veteran with twenty-plus years driving enterprise transformation, AI, cybersecurity, and innovation across the DoD, NSA, DHS, Department of State, and broader intelligence community. ASQ Fellow. IEEE Senior Member. ISSA Distinguished Fellow.</p><p>Her Cyber &amp; STEAM Global Innovation Alliance is building toward 10,000 partners serving one million people globally across STEAM, cyber, and innovation.</p><p>LinkedIn: https://www.linkedin.com/in/rhondafarrell/ Website: https://gblinnovstratllc.com Email: CEO@gblinnovstratllc.com</p><p>Watch Dr. Farrell's weekly "Spotlight on Strategy" series on YouTube: https://youtube.com/@gblinnovstrat</p><p></p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🎙 ABOUT THE HOST</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>Dr. Tuboise Floyd, PhD, is Founder and Chief Sensemaking Officer of Human Signal (humansignal.io), Editor in Chief of The AI Governance Record (theaigovernancerecord.com), Host of The AI Governance Briefing(theaigovernancebriefing.com), and a TAIMScore™ Certified Assessor. His doctoral work at Auburn University (2010) in adult education and systems theory underpins Human Signal's pedagogical frameworks, including the Trust Gap, GASP™, the Workflow Thesis, Noise Discipline, and the L.E.A.C. Protocol™.</p><p>ORCID: 0009-0008-0055-072X</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>🔗 CONNECT</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p>Website: https://humansignal.io LinkedIn: https://linkedin.com/in/drtuboisefloyd Brand channel: https://linkedin.com/in/theaigovernancebriefing Podcast RSS: https://feeds.captivate.fm/the-ai-governance Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-governance-briefing/id1847777960</p><p>━━━━━━━━━━━━━━━━━━━━━━━━━━</p><p><strong>Independence is not a feature. It is the product.</strong> <strong>Govern the machine. Or be the resource it consumes.</strong></p><p>#AIGovernance #AIRiskManagement #DigitalTransformation #Compliance #GRC #DrRhondaFarrell #DrTuboiseFloyd #HumanSignal #TheAIGovernanceBriefing #NISTAIRMF #TAIMScore #HISPI #USMC #DoD #NSA #EnterpriseAI #Leadership</p><br/><br/>This podcast uses the following third-party services for analysis: <br/><br/>OP3 - https://op3.dev/privacy

40 total episodes available

Deep-dive analytics for Human Signal

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Human Signal?

About the Podcast

The AI Governance Briefing with Dr. Tuboise Floyd The AI Governance Briefing serves operators navigating institutions disrupted by artificial intelligence. Hosted by Dr. Tuboise Floyd — founder, researcher, and principal analyst at Human Signal.

The market has split in two. The consumption economy trades in noise, checklists, and compliance theater. The investment economy trades in signal infrastructure, physics, and sovereignty. The AI Governance Briefing serves the investment economy as its intelligence feed. We do not trade in content. We trade in leverage.

Each episode applies the TAIMScore™ framework, GASP™ diagnostic, L.E.A.C. Protocol™, and the Failure Files™ instrument to reverse-engineer real institutional AI failures, and to build governance infrastructure before autonomous systems break the institution.

Produced with Creative Director Jeremy Jarvis, the show covers asymmetric strategy, critical infrastructure, and the physics of risk for government contracting and builder sectors.

New episodes, visual briefs, and honest playbooks at https://theaigovernancebriefing.com/podcast

© 2026 Dr. Tuboise Floyd. All rights reserved.

Episode content applies the TAIMScore™ framework, GASP™ diagnostic, L.E.A.C. Protocol™, and the Failure Files™ instrument. The AI Governance Briefing publishes under Human Signal. The AI Governance Briefing operates as an independent media and research platform.

All episode content, including analysis, case studies, and framework application, is provided for educational and informational purposes only. Nothing in any episode constitutes legal, regulatory, compliance, financial, or professional advice. No advisory or consulting relationship is created by listening to or engaging with this content. Guest opinions are those of the guest alone and do not represent the positions of Human Signal or Dr. Tuboise Floyd. Case studies and institutional failure analyses are based on publicly available information and are presented as pedagogical tools, not legal findings or regulatory determinations.

This podcast uses the following third-party services for analysis: OP3 — https://op3.dev/privacy

© 2026 Dr. Tuboise Floyd. All rights reserved.

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

OP3 - https://op3.dev/privacy

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.