Dr. Rhonda Farrell: AI Doesn't Break Your Organization. It Reveals It.
Saison 2
jeudi 23 avril 2026 • Durée 41:06
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.
AI does not fix that system. AI reveals it.
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 & 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.
Her thesis: AI is a forcing function. And pressure does not break solutions. It reveals them.
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🔑 KEY IDEAS
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▪ 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.
Human Signal Town Hall — The Strict Reality of AI Governance
Dr. Rhonda Farrell is a confirmed speaker.
50 seats. $97 pre-sale through April 30. $147 from May 1. Reserve: https://humansignal.io/townhall
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📄 READ THE POSITION PAPER
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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
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🎓 TAIMSCORE™ ASSESSOR WORKSHOP
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Want to measure your organization's AI governance maturity against a standard? Dr. Floyd is a TAIMScore™ Certified Assessor (HISPI). https://humansignal.io/taimscore
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📚 FAILURE FILES™
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Governance pedagogy through real AI failure analysis. Free public instrument from Human Signal, underwritten by Project Cerebellum. https://humansignal.io/failure-files
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👤 ABOUT THE GUEST
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Dr. Rhonda Farrell, DM, MS, MBA, CISSP, PMP, LSSMBB, is Executive Advisor, Transformation Strategist, and Founder & CEO of Global Innovation Strategies and the Cyber & 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.
Her Cyber & STEAM Global Innovation Alliance is building toward 10,000 partners serving one million people globally across STEAM, cyber, and innovation.
Watch Dr. Farrell's weekly "Spotlight on Strategy" series on YouTube: https://youtube.com/@gblinnovstrat
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🎙 ABOUT THE HOST
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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™.
This podcast uses the following third-party services for analysis:
OP3 - https://op3.dev/privacy
Navigating the Complexities of AI Governance: Introducing TAIMScore™
Saison 2
mercredi 22 avril 2026 • Durée 16:51
TAIMScore™ is the Trusted AI Model Score — a 20-control AI governance framework built by HISPI Project Cerebellum. In this episode of The AI Governance Briefing, Dr. Tuboise Floyd, PhD breaks down how TAIMScore™ turns AI accountability into something you can measure, score, and prove.
Four governance domains. Twenty essential controls. Mapped against NIST AI RMF, the EU AI Act, HIPAA, PCI DSS, SOC 2, EU GDPR, and the White House AI Executive Order. If your institution needs a blueprint for AI governance that survives regulatory scrutiny, this is the starting point.
AI is already deployed. The institutions that survive will be the ones that can prove they govern it.
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WHAT YOU WILL LEARN
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∙ Why AI incidents make governance non-negotiable
∙ The Project Cerebellum mission: AI should cause no harm
∙ How the four TAIM domains — GOVERN, MAP, MEASURE, MANAGE — work as an accountability cycle
∙ The 20 TAIMScore™ controls every AI-deploying organization must address
∙ How to crosswalk your AI posture against global regulatory frameworks
∙ Why the AI kill switch is essential governance — not optional
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CHAPTERS
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0:00 Welcome and Introduction
0:28 Real Risks of AI
1:18 Real Generative AI Incidents
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Anthropic Safeguards Chief Resigns: What Governance Collapse Looks Like From Inside
Saison 2
vendredi 20 février 2026 • Durée 06:41
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd examines the resignation of Mrinank Sharma — Anthropic's head of safeguards research — on February 9, 2026, and what it reveals about what happens when billion-dollar infrastructure commitments collide with safety protocols.
This is not a personnel story. It is organizational telemetry. Sharma's departure tells us everything about the gap between stated safety commitments and operational reality — and why that gap is exactly where systemic risk accumulates.
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KEY TOPICS
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The Signal, Not Just the Personnel
∙ Mrinank Sharma's resignation as organizational telemetry
∙ Sharma's critical research areas: reality distortion in AI chatbots, AI-assisted bioterrorism defense, and sycophancy prevention
∙ Why departures from safety leadership roles are data points in governance collapse patterns — not random exits
Infrastructure Economics vs. Safety
∙ The capital-intensive reality: lithography, GPUs, data centers, and energy
∙ How financial models lock organizations into velocity-prioritizing postures
∙ The mechanism of slow-motion governance collapse
The Public-Private Governance Gap
∙ U.S. Department of Labor's AI Literacy Framework and public-side initiatives
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
AI Contracts Are Moving Faster Than Governance: The Gap Where Failures Live
Saison 2
dimanche 15 février 2026 • Durée 00:32
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd asks the question every institutional operator is living right now: Is your leadership signing AI contracts faster than they're building governance?
That gap is where the lawsuits, scandals, and quiet institutional failures live. It's how you wake up with a "successful AI pilot" and a mess in risk, workforce, and public trust. The governance gap is not a technology problem. It is a structural problem — and it is solvable from the inside.
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THE CORE PROBLEM
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Organizations are racing to deploy AI without the control systems, oversight mechanisms, and governance frameworks needed to manage the technology accountably. The result is a dangerous gap between what leadership promises and what operations can actually deliver. Mid-career operators are absorbing the exposure while the contracts keep moving.
∙ Federal IT leaders watching risky deployments unfold
∙ University CIOs managing AI rollouts without adequate governance
∙ Enterprise strategists caught between innovation pressure and risk reality
∙ Policy teams trying to create guardrails after the fact
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Noise Discipline: Social Media Destroys Strategic Focus
Saison 2
vendredi 6 février 2026 • Durée 01:17
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd breaks down Noise Discipline — and why builders must treat social feeds as enemy territory.
High-speed social media feeds are not neutral infrastructure. They degrade critical thinking, soften fact-checking instincts, increase cognitive stress, and produce source amnesia — the condition where you forget where ideas came from and mistake them for your own. For institutional operators making consequential decisions about AI deployment, that is not a productivity problem. It is a governance risk.
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KEY TOPICS
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∙ How social feeds degrade critical thinking capabilities
∙ The real cost of source amnesia on strategic decision-making
∙ The stress cascade triggered by high-velocity information environments
∙ Noise Discipline as a cognitive defense framework for operators
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THE FOUR INTERVENTIONS
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Treat feeds like radiation zones:
∙ Set timers and enforce strict exposure limits
∙ Question who wrote what and what they're selling
∙ Skip anything that doesn't help you build
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Aging Power Grids Meet Autonomous AI: The Infrastructure Breaking Point
Saison 2
jeudi 5 février 2026 • Durée 01:22
EPISODE DESCRIPTION
🎧 When Physics Meets Agentic AI: The Infrastructure Breaking Point
We explore the collision between aging, fragile infrastructure and autonomous AI systems making real-time decisions. We discuss how climate stress, overloaded grids, and agentic AI operating without full human oversight create cascading failure risks across universities, hospitals, and federal agencies.
Critical Questions Explored:
What happens when autonomous AI meets 50-year-old infrastructure?
How climate stress amplifies the risks of agentic systems
Why overloaded power grids become AI failure multipliers
The hidden vulnerability in universities, hospitals, and federal agencies
What Actually Fails First?
When physics meets automation, we examine three failure points:
The hardware: aging infrastructure that can't keep pace
Organizational structures: governance models built for slower systems
Human control itself: when oversight becomes impossible at AI speed
This isn't theoretical. This is the breaking point that institutions are racing toward right now.
SUBSCRIBE & SUPPORT
Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Tomorrow's War: Our Children Pay the AI Debt We're Running Now
Saison 2
mercredi 4 février 2026 • Durée 01:16
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd delivers Briefing 005: Tomorrow's War — Our Children Pay Our AI Debt.
Tomorrow's war won't look like soldiers fighting beasts with long teeth. It will look like our children quietly paying the bill for our decision to unleash ungoverned AI and call it "progress."
We are the first generation to hand machines the keys to our attention, our labor markets, and our democracy — and then shrug at the fine print.
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THE REAL COST
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We cash the convenience and productivity now while the real cost is deferred:
∙ Their mental health
∙ Their privacy
∙ Their ability to tell what's real
∙ Their leverage in a world run by systems they never chose
This is the old story of the sins of the fathers — rewritten in code. We are loading our fear of change and our hunger for growth at any price onto our children's backs, compounding it with every unchecked model we ship.
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TOMORROW'S WAR
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The fight over that inheritance. Whether we govern AI now, or let our children spend their lives paying down a debt they never agreed to incur.
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Beyond AI: Quantum Computing and Organoid Intelligence
Saison 2
mercredi 4 février 2026 • Durée 01:14
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd looks beyond AI to the larger technological transformation already in motion — and the power race determining who controls it.
AI was the warning shot. What comes next determines who survives and who becomes obsolete.
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EMERGING TECHNOLOGIES RESHAPING WHAT'S NEXT
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∙ Organoid intelligence: computing with biological neural tissue
∙ The critical energy constraints driving the race
∙ Why power consumption is the bottleneck no one is talking about
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THE HIDDEN RISKS
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The danger of reducing human involvement in increasingly powerful systems does not disappear when the technology label changes. As these technologies accelerate beyond AI, the question isn't just "what can they do?" — it's "who controls them, and who pays the price when they fail?"
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WHY THIS MATTERS NOW
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Tracking where power moves and identifying human stakes in these futures is not a futurist exercise. It is institutional survival. This isn't about keeping up with tech trends. It's about understanding the inflection points before they shape your institution, your workforce, and your options.
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
Stop Renting AI You Can't Deploy: The Case for Sovereign Infrastructure
mardi 3 février 2026 • Durée 01:07
EPISODE DESCRIPTION
In this episode of The AI Governance Briefing, Dr. Tuboise Floyd breaks down why enterprise boards are hemorrhaging AI transformation budgets through subscription models and cloud credits — without building the foundational infrastructure needed to support them.
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THE FERRARI IN THE SWAMP PROBLEM
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Companies are renting expensive tools to operate in environments where they cannot be used effectively. You are paying premium prices for capabilities your infrastructure cannot support. The tool is not the problem. The structural mismatch is.
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WHO PROFITS FROM THE MISALIGNMENT
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∙ Vendors selling you tools you cannot deploy
∙ Consultants billing for transformations that collapse on contact
∙ Cloud providers stacking credits while your ROI evaporates
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THE REAL PHYSICS OF YOUR BURN RATE
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This isn't digital transformation theater. It's capital efficiency and sovereignty.
∙ Why subscription models drain budgets without building capacity
∙ What sovereign infrastructure actually means for enterprise control
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
The Builder Class: AI Governance Briefing for Federal and Enterprise Leaders
Saison 2
lundi 2 février 2026 • Durée 00:24
EPISODE DESCRIPTION
If you are hearing this, you have successfully moved operations behind the wire. You are no longer a consumer. You are a Builder.
The public internet is a noise engine designed to extract your attention. The AI Governance Briefing is a signal processing facility designed to build your leverage.
We do not trade in content here. We trade in clearance.
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WHAT THIS MEANS
──────────────────────────────────────
∙ You've crossed the threshold from passive consumption to active building
∙ This isn't another feed competing for your distraction
∙ This is infrastructure — signal, not noise
∙ This is leverage, not entertainment
──────────────────────────────────────
THE BUILDER CLASS
──────────────────────────────────────
This channel exists for people who don't just navigate systems — they design, deploy, and defend them. For federal IT leaders, university CIOs, enterprise strategists, and policy architects who understand that survival requires moving operations behind the wire.
The public internet extracts. We construct.
Welcome to the infrastructure. This is The AI Governance Briefing. This is your clearance.
This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy
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Découvrez des podcasts liées à The AI Governance Briefing with Dr. Tuboise Floyd. Explorez des podcasts avec des thèmes, sujets, et formats similaires. Ces similarités sont calculées grâce à des données tangibles, pas d'extrapolations !
11:52 Framework Crosswalks — HIPAA, SOC 2, EU AI Act
13:51 Closing and How to Get Involved
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TAIMSCORE™ ASSESSOR WORKSHOP
──────────────────────────────────────
Virtual. Instructor-led. One day. Six CPEs. Third Friday of every month.
🔗 humansignal.io/taimscore_assessor_workshop
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FAILURE FILES™ — TAIMScore™ APPLIED
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See TAIMScore™ applied to real institutional failures:
🔗 humansignal.io/failure-files
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RESOURCES
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Project Cerebellum — projectcerebellum.com
HISPI — hispi.org
HISPI LinkedIn Group — linkedin.com/groups/6624427
Email — projectcerebellum@hispi.org
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ABOUT HISPI PROJECT CEREBELLUM
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Project Cerebellum is the AI Governance Think Tank of HISPI — the Holistic Information Security Practitioner Institute. The Trusted AI Model (TAIM) is a flagship framework of 72 controls across four domains that harmonize leading AI governance standards into a practical scoring system. TAIMScore™ was created by Taiye Lambo, Founder and Chief Artificial Intelligence Officer of HISPI.
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ABOUT THE HOST
──────────────────────────────────────
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
──────────────────────────────────────
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.
Holistic Information Security Practitioner Institute
Project Cerebellum
Microsoft
OpenAI
ISO
IEC
HIPAA
PCI
DSS
SoC2
EU AI Act
EU GDPR
White House AI Executive Order
Takeaways:
The podcast episode emphasizes the necessity for organizations to establish robust frameworks for AI governance, particularly through the TAIM model.
The TAIM framework is designed to ensure that AI deployments are safe, secure, responsible, and trustworthy, addressing potential risks proactively.
A significant focus of the episode is on the real-world examples of AI risks, illustrating the importance of governance in mitigating these risks.
Effective AI governance requires continuous monitoring and assessment, ensuring that systems remain compliant with evolving regulatory standards.
The TAIM score provides organizations with a concrete evaluation of their AI governance posture against relevant regulatory frameworks.
The importance of interdisciplinary collaboration in AI governance is highlighted, underscoring the necessity of diverse perspectives in risk assessment.
∙ The irony of raising the AI literacy floor while the ceiling cracks inside frontier labs
∙ Where systemic risk accumulates in this disconnect
The L.E.A.C. Protocol™ Applied
∙ How Lithography, Energy, Arbitrage, and Cooling create the capital pressure that drives governance erosion
∙ Why organizations don't abandon safety — they redefine it, water it down, or sideline the people holding the line
→ U.S. Department of Labor AI Literacy Framework — https://www.dol.gov/sites/dolgov/files/ETA/advisories/TEN/2025/TEN%2007-25/TEN%2007-25%20(complete%20document).pdf
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SUPPORT THE SHOW
──────────────────────────────────────
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
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PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
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Full transcript available upon request at hello@theaigovernancebriefing.com
You don't have to wait for leadership to figure this out. Mid-career operators have the leverage to intervene, redirect, and demand better governance before the failures compound. This isn't about slowing down innovation. It's about surviving it.
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FRAMEWORKS REFERENCED
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→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp
→ The Trust Gap — humansignal.io/frameworks/trust-gap
→ The Workflow Thesis — humansignal.io/frameworks/workflow-thesis
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
Help fuel six months of new episodes, visual briefs, and honest playbooks.
🔗 https://humansignal.com/support
Every contribution sustains the signal.
ABOUT THE HOST
Dr. Tuboise Floyd is the founder of Human Signal, a strategy lab and podcast for people deploying AI inside government agencies, universities, and enterprise systems. A PhD social scientist and former federal contracting strategist, he reverse-engineers system failures and designs AI governance controls that survive real humans, real incentives, and real pressure.
PRODUCTION NOTES
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
Tech Specs:
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
CONNECT
LinkedIn: linkedin.com/in/tuboise
Email: tuboise@theaigovernancebriefing.com
TRANSCRIPT
Full transcript available upon request at hello@theaigovernancebriefing.com
TAGS/KEYWORDS
Agentic AI, Infrastructure Risk, Critical Infrastructure, AI Safety, Climate Stress, Power Grid Resilience, Autonomous Systems, Cascading Failures, Federal AI, Healthcare AI, University Systems, Enterprise Risk
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class.
Help fuel independent AI governance research, new episodes, and the Failure Files™ series.
🔗 https://theaigovernancebriefing.com/support
Every contribution sustains the signal.
──────────────────────────────────────
ABOUT THE HOST
──────────────────────────────────────
Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026).
A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
Independence is not a feature. It is the product.
──────────────────────────────────────
PRODUCTION NOTES
──────────────────────────────────────
Host & Producer: Dr. Tuboise Floyd
Creative Director: Jeremy Jarvis
A Human Signal Production
Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.
──────────────────────────────────────
CONNECT
──────────────────────────────────────
Website: humansignal.io
Podcast: theaigovernancebriefing.com
LinkedIn: linkedin.com/in/drtuboisefloyd
Email: tuboise@theaigovernancebriefing.com
General inquiries: hello@theaigovernancebriefing.com
──────────────────────────────────────
TRANSCRIPT
──────────────────────────────────────
Full transcript available upon request at hello@theaigovernancebriefing.com
