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

──────────────────────────────────────

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).

──────────────────────────────────────

CONNECT

──────────────────────────────────────

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

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.

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.

Chapters

0:00 Pedagogy and the Project Cerebellum AI database

0:24 The deepfake that was never filmed

1:25 The real threat is not access

2:00 Crosswalking control to ISO/IEC 42001 and NIST

2:39 Who actually owns the failure

3:01 Audit what already runs in your environment

3:16 When AI costs the same as human labor

Links

Human Signal: https://humansignal.io

The AI Governance Briefing: https://theaigovernancebriefing.com

Failure Files: https://aigovernancefailures.com

Measured for Trust: https://humansignal.io/#measured-for-trust

The Workflow Thesis (SSRN): https://ssrn.com/abstract=6644860

Panel

Dr. Tuboise Floyd, Founder and Chief Sensemaking Officer, Human Signal

Karen Jackson, Apogee Strategic Partners

Taiye Lambo, HISPI Project Cerebellum

Moderator: COL Kathy Swacina, USA (Ret.), Kolibri Strategy and Project Cerebellum

Event: AFCEA TechNet Cyber 2026, Baltimore, MD

TAIMScore and the TAIM control standards belong to Taiye Lambo and HISPI.

Govern the machine. Or be the resource it consumes.

#AIGovernance #CriticalInfrastructure #Deepfakes #ZeroTrust #TechNetCyber

──────────────────────────────────────

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).

──────────────────────────────────────

CONNECT

──────────────────────────────────────

Website: humansignal.io

Podcast: theaigovernancebriefing.com/podcast

LinkedIn: linkedin.com/in/drtuboisefloyd

Email: [email protected]

Govern the machine. Or be the resource it consumes.

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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

🔑 KEY IDEAS

━━━━━━━━━━━━━━━━━━━━━━━━━━

▪ 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.

━━━━━━━━━━━━━━━━━━━━━━━━━━

🎙 CHAPTERS

━━━━━━━━━━━━━━━━━━━━━━━━━━

00:00:00 — Open: The Veteran's Diagnosis

00:02:00 — High-Performing People, Low-Performing Ecosystems

00:05:00 — The Design Problem: Why Integration Was Never Built

00:10:00 — Policy → Process → People → Platforms: The Traceability Model

00:12:00 — Performative vs. Mission-Functional Compliance

00:14:00 — AI as the Forcing Function

00:17:00 — Sequencing NIST CSF, CMMC, NIST AI RMF, and TAIMScore™

00:20:00 — Policy Without Execution Is Just Theory

00:25:00 — The Design Shift: From Frameworks to Operationalization

00:32:00 — The Monday Morning Move

00:37:00 — Pressure Does Not Break Solutions. It Reveals Them.

00:39:00 — Where to Follow Dr. Farrell's Work

00:41:00 — Close: Govern the Machine or Be the Resource It Consumes

━━━━━━━━━━━━━━━━━━━━━━━━━━

📺 WATCH ON YOUTUBE

━━━━━━━━━━━━━━━━━━━━━━━━━━

https://youtu.be/ACe9px5XZZ8

━━━━━━━━━━━━━━━━━━━━━━━━━━

📰 COMPANION PIECES

━━━━━━━━━━━━━━━━━━━━━━━━━━

▶ Issue 015 of The AI Governance Record (written companion): https://theaigovernancerecord.com/record/issue-015

▶ Subscribe to the newsletter: https://theaigovernancerecord.com/newsletter

▶ Deep-dive blog: https://theaigovernancebriefing.com/blog

━━━━━━━━━━━━━━━━━━━━━━━━━━

🎟 LIVE EVENT — MAY 14, 2026

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

📄 READ THE POSITION PAPER

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

🎓 TAIMSCORE™ ASSESSOR WORKSHOP

━━━━━━━━━━━━━━━━━━━━━━━━━━

Want to measure your organization's AI governance maturity against a standard? Dr. Floyd is a TAIMScore™ Certified Assessor (HISPI). https://humansignal.io/taimscore

━━━━━━━━━━━━━━━━━━━━━━━━━━

📚 FAILURE FILES™

━━━━━━━━━━━━━━━━━━━━━━━━━━

Governance pedagogy through real AI failure analysis. Free public instrument from Human Signal, underwritten by Project Cerebellum. https://humansignal.io/failure-files

━━━━━━━━━━━━━━━━━━━━━━━━━━

👤 ABOUT THE GUEST

━━━━━━━━━━━━━━━━━━━━━━━━━━

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.

LinkedIn: https://www.linkedin.com/in/rhondafarrell/ Website: https://gblinnovstratllc.com Email: [email protected]

Watch Dr. Farrell's weekly "Spotlight on Strategy" series on YouTube: https://youtube.com/@gblinnovstrat

━━━━━━━━━━━━━━━━━━━━━━━━━━

🎙 ABOUT THE HOST

━━━━━━━━━━━━━━━━━━━━━━━━━━

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™.

ORCID: 0009-0008-0055-072X

━━━━━━━━━━━━━━━━━━━━━━━━━━

🔗 CONNECT

━━━━━━━━━━━━━━━━━━━━━━━━━━

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

━━━━━━━━━━━━━━━━━━━━━━━━━━

Independence is not a feature. It is the product. Govern the machine. Or be the resource it consumes.

#AIGovernance #AIRiskManagement #DigitalTransformation #Compliance #GRC #DrRhondaFarrell #DrTuboiseFloyd #HumanSignal #TheAIGovernanceBriefing #NISTAIRMF #TAIMScore #HISPI #USMC #DoD #NSA #EnterpriseAI #Leadership

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.

──────────────────────────────────────

WHAT YOU WILL LEARN

──────────────────────────────────────

∙ 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

──────────────────────────────────────

CHAPTERS

──────────────────────────────────────

0:00 Welcome and Introduction

0:28 Real Risks of AI

1:18 Real Generative AI Incidents

2:13 Project Cerebellum: AI Should Cause No Harm

2:48 Vision and Mission

3:33 The Four TAIM Domains

5:01 GOVERN — AI Risk Training (Govern 2.2)

5:31 GOVERN — Supply Chain Policy (Govern 6.1)

6:01 MAP — Establishing Context (Map 1.2)

6:26 MAP — System Requirements (Map 1.6)

6:55 MAP — Third Party Risk (Map 4.1)

7:13 MAP — Impact Documentation (Map 5.1)

7:33 MEASURE — Human Evaluations (Measure 2.2)

7:51 MEASURE — Reliability (Measure 2.5)

8:07 MEASURE — Safety Risk (Measure 2.6)

8:23 MEASURE — Explainability (Measure 2.9)

8:37 MEASURE — Privacy Risk (Measure 2.10)

8:51 MEASURE — Fairness and Bias (Measure 2.11)

9:09 MEASURE — Risk Tracking (Measure 3.1)

9:23 MEASURE — Feedback Loops (Measure 3.3)

9:41 MEASURE — Performance Data (Measure 4.3)

9:57 MANAGE — Resource Allocation (Manage 2.1)

10:19 MANAGE — Unknown Risks (Manage 2.3)

10:35 MANAGE — The Kill Switch (Manage 2.4)

10:55 MANAGE — Post-Deployment Monitoring (Manage 4.1)

11:11 MANAGE — Incident Communications (Manage 4.3)

11:29 TAIMScore™: The Payoff

11:52 Framework Crosswalks — HIPAA, SOC 2, EU AI Act

13:51 Closing and How to Get Involved

──────────────────────────────────────

TAIMSCORE™ ASSESSOR WORKSHOP

──────────────────────────────────────

Virtual. Instructor-led. One day. Six CPEs. Third Friday of every month.

🔗 humansignal.io/taimscore_assessor_workshop

──────────────────────────────────────

FAILURE FILES™ — TAIMScore™ APPLIED

──────────────────────────────────────

See TAIMScore™ applied to real institutional failures:

🔗 humansignal.io/failure-files

──────────────────────────────────────

RESOURCES

──────────────────────────────────────

Project Cerebellum — projectcerebellum.com

HISPI — hispi.org

HISPI LinkedIn Group — linkedin.com/groups/6624427

Email — [email protected]

──────────────────────────────────────

ABOUT HISPI PROJECT CEREBELLUM

──────────────────────────────────────

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.

──────────────────────────────────────

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).

──────────────────────────────────────

CONNECT

──────────────────────────────────────

Website: humansignal.io

Podcast: theaigovernancebriefing.com/podcast

LinkedIn: linkedin.com/in/drtuboisefloyd

Email: [email protected]

Govern the machine. Or be the resource it consumes.

#TAIMScore #AIGovernance #AIAccountability #HISPI #ProjectCerebellum #NISTAIRMF #EUAIAct #AICompliance #FailureFiles #TrustedAIModel #DrTuboiseFloyd #HumanSignal #TheAIGovernanceBriefing #BuilderClass #AIRisk

Companies mentioned in this episode:

• hispi
• 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.

EPISODE SUMMARY

In this episode of The AI Governance Briefing, Dr. Tuboise Floyd delivers a pointed analysis of why enterprise AI governance is failing at the structural level. The problem isn't a lack of policy — it's that governance was designed for a world that no longer exists. Distributed AI — running across edge devices, vendor stacks, and multi-agent pipelines — has dissolved the single point of control that traditional compliance frameworks depend on.

──────────────────────────────────────

KEY TAKEAWAYS

──────────────────────────────────────

Key Takeaway 1: Distributed AI Is a Governance Condition, Not a Technology Trend

The shift to distributed AI isn't just an infrastructure evolution — it's a fundamental change in where accountability lives. When AI executes across multiple nodes, devices, or third-party systems without unified oversight, you're no longer in a governance framework. You're in a governance gap. Every edge deployment, every federated model, every multi-agent workflow is an accountability question first, a technology question second.

Key Takeaway 2: The Architecture of Blame Is Predictable — and Avoidable

The pattern behind every major AI failure in recent years is the same: the vendor says the output was within spec; the integrator says the client configured the workflow; the client says legal approved the policy; legal says the policy covered the old system. Nobody owns the failure. The reason isn't bad actors — it's structural ambiguity. When no one owns the decision at the node, blame distributes as efficiently as the AI does.

Key Takeaway 3: "Permitted" Is Not the Same as "Admissible"

A policy that allows a model to run is not the same as governance that can see what the model is doing. This visibility gap — between what is authorized on paper and what is observable in execution — is where accountability collapses. Functional governance requires audit trails, intervention triggers, and independence from vendor contracts built into the architecture itself, not appended to it.

──────────────────────────────────────

DR. FLOYD'S 3 DIAGNOSTIC QUESTIONS

──────────────────────────────────────

1. Who owns the decision at the node — not the system, the decision? If the answer is vague, you have a gap.

2. What is the escalation path? A single risk officer cannot handle fifty simultaneous failures across fifty nodes. The architecture must match the distribution.

3. What accountability exists without the vendor? If your governance breaks when the vendor changes the API, you don't have governance — you have vendor dependency.

──────────────────────────────────────

3 REQUIREMENTS FOR FUNCTIONAL GOVERNANCE

──────────────────────────────────────

1. Visibility at every execution point. If you cannot see the node, you cannot govern the node.

2. Accountability without humans in every loop. Humans cannot scale to distributed AI. Audit trails and intervention triggers must be designed into the system.

3. Independence. The governance structure must survive vendor changes and contract terminations.

──────────────────────────────────────

CLOSING REFLECTION

──────────────────────────────────────

The winners in the AI era won't be the organizations with the best technology. They'll be the ones with the structural discipline to govern it. This week, ask yourself three things: Can you name every device where your AI is making decisions? If your vendor changed the model tonight, how long would it take you to find out? And who is responsible when failure happens inside a workflow you don't control? Architect for reality — or discover reality when the system fails.

Govern the machine. Or be the resource it consumes.

──────────────────────────────────────

CHAPTERS

──────────────────────────────────────

0:00 - The Illusion of Governance

0:32 - Distributed AI Outruns Policy

1:10 - The Architecture of Blame

1:52 - The Trust Gap Framework

2:18 - Permitted ≠ Admissible

2:45 - Redesigning Accountability Architecture

3:28 - 3 Diagnostic Questions

4:10 - What Functional Governance Actually Requires

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

→ Failure Files™ — humansignal.io/failure-files

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop

──────────────────────────────────────

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.

──────────────────────────────────────

SUPPORT THE SHOW

──────────────────────────────────────

Help fuel independent AI governance research, new episodes, and the Failure Files™ series.

🔗 https://theaigovernancebriefing.com/support

Every contribution sustains the signal.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available upon request at [email protected]

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice.

──────────────────────────────────────

TAGS

──────────────────────────────────────

AI governance, AI accountability, distributed AI, AI policy, responsible AI, AI compliance, AI risk management, AI at the edge, federated learning, multi-agent systems, edge computing AI, AI governance framework, AI accountability gap, AI oversight, trust gap framework, AI leadership, AI regulation, AI vendor risk, governance architecture, AI decision making, AI audit trail, AI policy failure, AI governance failure, GASP framework, L.E.A.C. Protocol, Failure Files, TAIMScore, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing

EPISODE DESCRIPTION

At a laid-back campus open forum, students are invited to ask questions about AI governance to Taiye Lambo, Founder and Chief Artificial Intelligence Officer of the Holistic Information Security Practitioner Institute (HISPI), and Dr. Tuboise Floyd, Founder of Human Signal and Host of The AI Governance Briefing.

Speakers frame AI literacy as a civic and professional survival skill — not a technical one. Employers now expect workers to critically evaluate AI outputs, not just use them. The conversation covers deepfakes and short-form media manipulation, the dangers of overreliance on AI (including the attorney who cited fabricated ChatGPT case law in federal court), the principle of "never blindly trust, always verify," and the structural need for continuous auditing, accountability, and an honest human in the loop — especially in clinical and environmental contexts. Students are advised to build strong domain knowledge, think critically, pursue internships, and invest in AI governance and risk certifications over tool-specific training.

──────────────────────────────────────

CHAPTERS

──────────────────────────────────────

00:00 Welcome and Setup

00:52 Meet the Experts

01:57 Taiye on Governance Focus

02:53 Dr. Floyd Background and Podcast

04:39 Open Forum Begins

05:02 AI Literacy for Careers

07:23 Threat or Opportunity Poll

10:01 AI Literacy Beyond STEM

10:49 Spotting Deepfakes in Shorts

15:35 Using AI Without Replacing Learning

16:14 Lawyer Case and Overtrusting AI

18:08 Never Blindly Trust — Verify

19:06 Wikipedia Analogy and Real Risks

20:31 Business Ethics Reality Check

21:06 Continuous Audits in Clinics

21:28 Human in the Loop Matters

22:04 Environmental AI Data Gaps

23:13 Public Trust and Accountability

23:33 Honest Human Oversight

25:28 Tokens and Hallucinations

26:51 Bias in Training Data

27:56 Interviewing in the AI Era

30:28 AI Disruption and Generational Shift

33:21 High-Stakes AI Blind Spots

36:02 Rapid Fire Career Advice

41:03 Closing and Next Steps

──────────────────────────────────────

GUEST

──────────────────────────────────────

Taiye Lambo

Founder & Chief Artificial Intelligence Officer

Holistic Information Security Practitioner Institute (HISPI)

🔗 https://www.hispi.org

🔗 https://projectcerebellum.com

LinkedIn: linkedin.com/in/taiyelambo

TAIMScore™ Assessor Workshop

🔗 https://humansignal.io/taimscore_assessor_workshop

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ Failure Files™ — humansignal.io/failure-files

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

──────────────────────────────────────

KEY TAKEAWAYS

──────────────────────────────────────

1. AI governance is the structural discipline that makes ethical decision-making and risk mitigation possible — not a compliance checkbox.

2. Employers now expect candidates to critically evaluate AI outputs. Using AI without scrutiny is a liability, not a skill.

3. AI literacy is not a STEM competency. It is a professional survival skill for every sector.

4. Human oversight is not optional in high-stakes AI deployments. Audit trails and intervention triggers must be designed in — not appended after failure.

5. Understanding how AI systems are trained matters — especially in healthcare, law, and environmental contexts where bad data produces dangerous outputs.

6. Domain knowledge, critical thinking, and governance certifications outperform tool-specific training in a market where the tools change every six months.

──────────────────────────────────────

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.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available at:

https://humansignal.io/blog/ai-governance-open-forum-never-blindly-trust-verify

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone.

──────────────────────────────────────

TAGS

──────────────────────────────────────

AI governance, AI literacy, AI accountability, AI policy, responsible AI, AI compliance, AI risk management, AI ethics, enterprise AI, government AI, technology leadership, deepfakes, AI hallucination, AI training data bias, human in the loop, AI oversight, AI career advice, AI governance certification, TAIMScore, GASP framework, Failure Files, Trust Gap, never blindly trust verify, Project Cerebellum, HISPI, Taiye Lambo, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing

EPISODE DESCRIPTION

In this episode of The AI Governance Briefing, Dr. Tuboise Floyd breaks down the Korean Air / KC&D supply chain breach — a forensic autopsy of what happens when data governance doesn't travel with the data.

In December 2025, Korean Air disclosed that 30,000 employee records were stolen. The breach didn't come through Korean Air's systems. It came through KC&D Service — a catering subsidiary spun off and sold to private equity in 2020. Five years later, KC&D was still holding Korean Air employee data on an unpatched Oracle ERP server. The Cl0p ransomware group exploited CVE-2025-61882 — CVSS 9.8 — and published 500GB on a dark web leak site.

Six TAIMScore™ controls failed simultaneously. Three domains. All because the data moved out of sight — not out of risk.

This is a Failure File™. Not a warning. A forensic record.

──────────────────────────────────────

KEY TOPICS

──────────────────────────────────────

∙ Supply chain governance and third-party vendor risk

∙ What happens when a divestiture doesn't include data governance

∙ The Oracle EBS zero-day and its 100+ organizational victims

∙ TAIMScore™ forensic: GOVERN, MAP, and MANAGE domain failures

∙ The one question every institution needs to ask today

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ Failure Files™ — humansignal.io/failure-files

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

──────────────────────────────────────

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.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available at:

https://theaigovernancebriefing.com/blog

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Case studies are based on publicly available information and presented as pedagogical tools — not legal findings or accusations of wrongdoing.

──────────────────────────────────────

TAGS

──────────────────────────────────────

AI governance, supply chain risk, third-party vendor risk, data breach, Korean Air, KC&D, Cl0p ransomware, Oracle EBS, CVE-2025-61882, TAIMScore, TAIM framework, Failure Files, institutional risk, data governance, divestiture risk, vendor oversight, AI accountability, GASP framework, Trust Gap, governance failure, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing

EPISODE DESCRIPTION

In this episode of The AI Governance Briefing, Dr. Tuboise Floyd is joined by Col. Kathy Swacina (USA, Ret.), CIO of SherpaWerx, and Taiye Lambo, Founder and Chief Artificial Intelligence Officer of the Holistic Information Security Practitioner Institute (HISPI), to discuss Project Cerebellum, AI governance, and balancing innovation with risk management.

The conversation cuts to the structural reality: without a holistic control layer, the race to be first with AI produces institutions that are exposed before they know it. The panel covers the evolving role of CIOs in AI oversight, what it actually means to build accountability into AI systems, and why most risk management frameworks fail at execution. This is not a theoretical discussion. These are practitioners who have governed AI in high-stakes environments.

──────────────────────────────────────

KEY TOPICS

──────────────────────────────────────

∙ Project Cerebellum and holistic AI control layers

∙ The race to AI deployment vs. responsible governance

∙ The evolving role of CIOs in AI oversight

∙ Building accountability into AI systems — not appending it after deployment

∙ Risk management frameworks that survive real humans, real incentives, and real pressure

──────────────────────────────────────

GUESTS

──────────────────────────────────────

Col. Kathy Swacina (USA, Ret.)

CIO, SherpaWerx

Chair, HISPI AI Think Tank — Project Cerebellum

🔗 https://sherpawerx.com

Taiye Lambo

Founder & Chief Artificial Intelligence Officer

Holistic Information Security Practitioner Institute (HISPI)

🔗 https://www.hispi.org

🔗 https://projectcerebellum.com

LinkedIn: linkedin.com/in/taiyelambo

TAIMScore™ Assessor Workshop

🔗 https://humansignal.io/taimscore_assessor_workshop

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ Failure Files™ — humansignal.io/failure-files

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

──────────────────────────────────────

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.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available at:

https://theaigovernancebriefing.com/blog

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone.

──────────────────────────────────────

TAGS

──────────────────────────────────────

AI governance, risk management, AI innovation, Project Cerebellum, CIO leadership, AI accountability, AI policy, enterprise AI, government AI, technology leadership, AI oversight, AI control layer, AI ethics, TAIMScore, GASP framework, Trust Gap, Failure Files, HISPI, Col. Kathy Swacina, Taiye Lambo, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing

EPISODE DESCRIPTION

In this episode of The AI Governance Briefing, Dr. Tuboise Floyd breaks down the Amazon delivery van reportedly stranded on the Broomway — one of Britain's most dangerous tidal tracks in Essex — after blindly following GPS directions toward Foulness Island. No alert. No override. No human in the loop.

This isn't a story about bad technology. It's a story about ungoverned automation making context-free decisions about human movement in the physical world. And it's exactly the kind of incident the HISPI Project Cerebellum AI Incidents database exists to document — so organizations can stop repeating the same failures.

──────────────────────────────────────

THE INCIDENT

──────────────────────────────────────

An Amazon delivery van followed GPS routing onto the Broomway — a tidal road across the mudflats of the Thames Estuary that floods rapidly and without visible warning. The system had no awareness of tidal zones, flood-risk roads, or environmental danger conditions. The driver had no alert, no override prompt, and no human checkpoint between the algorithm's instruction and physical execution.

The Broomway is one of the oldest roads in England, dating to the 1600s. It runs across tidal mudflats and has claimed numerous lives. It is considered one of the most dangerous roads in the United Kingdom.

──────────────────────────────────────

TAIMSCORE™ FAILURE ANALYSIS

──────────────────────────────────────

Running this incident through a TAIMScore™ lens reveals failure across three critical dimensions:

❌ Safety — FAIL

No guardrails for hazardous geographic areas. The routing system had no awareness of tidal zones, flood-risk roads, or environmental danger conditions. A system operating in the physical world with zero environmental context is an unacceptable safety liability.

❌ Trust — FAIL

When workers discover that guidance systems can route them into danger, trust collapses — not just in that system, but in all automated guidance. The second-order effect is that workers either override systems entirely (defeating the purpose) or follow blindly (accepting the risk). Neither is acceptable.

❌ Responsibility — FAIL

Who owns the risk when an algorithm routes a human into danger? The driver? The dispatcher? The software vendor? The organization deploying the tool? Without clear accountability architecture, no one owns it — until someone gets hurt.

──────────────────────────────────────

THE CORE THESIS

──────────────────────────────────────

The technology works exactly as designed. The governance around it does not exist.

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop

→ HISPI Project Cerebellum — projectcerebellum.com

→ Failure Files™ — humansignal.io/failure-files

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

──────────────────────────────────────

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.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available upon request at [email protected]

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Case studies are based on publicly available information and presented as pedagogical tools — not legal findings or accusations of wrongdoing.

──────────────────────────────────────

TAGS

──────────────────────────────────────

AI governance, ungoverned automation, GPS failure, logistics AI, AI safety, AI accountability, human in the loop, AI risk, responsible AI, AI incidents, AI ethics, TAIMScore, GASP framework, Trust Gap, Failure Files, Project Cerebellum, HISPI, physical world AI, autonomous systems, AI liability, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing

EPISODE DESCRIPTION

In this episode of The AI Governance Briefing, Dr. Tuboise Floyd is joined by Dr. Michele A. Williams — UX and accessibility consultant and author of Accessible UX Research — to examine why digital accessibility failures across 97% of the web create equity, resilience, and trust risks that AI can magnify at scale.

Dr. Williams contrasts the medical and social models of disability, addresses ableism and language (person-first vs. identity-first), and argues that checklists cannot replace lived experience or disabled participation in UX research and leadership. The conversation covers how inaccessible code tools and AI trained on inaccessible data produce compounding issues — missing labels, broken keyboard paths, poor semantic structure — and warns against disability dongles: technology solutions that add a layer instead of removing the systemic barrier. Dr. Williams closes with a practical 90-day plan: establish a baseline with scans and process mapping, change defaults, and normalize inclusion from the inside out.

Nothing about us without us.

──────────────────────────────────────

CHAPTERS

──────────────────────────────────────

00:00 Accessibility Wake Up Call

00:57 Meet Dr. Michele Williams

02:07 Equity, Resilience, Trust

04:01 Disability Mindset Shift

05:59 Why Lived Experience Matters

07:14 Person First vs. Identity First

13:01 AI Promise and Harm

15:23 Social Model In Practice

19:58 Beyond Screen Readers

25:02 Exclusion Inside Real Teams

26:58 Semantic Code Chaos

28:32 Standards Lag Tech

29:12 Siri Zoom Panic

31:23 Disability Dongles

33:36 AI Hype Reality

37:25 Beyond Checklists

40:32 90 Day Baseline

42:30 Change Defaults

44:17 Normalize Inclusion

46:47 Nothing About Us

49:13 One Action This Week

50:35 Closing Credits

──────────────────────────────────────

GUEST

──────────────────────────────────────

Dr. Michele A. Williams

UX and Accessibility Consultant

Author, Accessible UX Research — Smashing Magazine

🔗 https://mawconsultingllc.com

LinkedIn: linkedin.com/in/micheleawilliams1

Accessible UX Research

Publisher: Smashing Magazine

🔗 https://www.smashingmagazine.com/2025/06/accessible-ux-research-pre-release/

──────────────────────────────────────

WATCH ON YOUTUBE

──────────────────────────────────────

🎥 https://youtu.be/pxXLNsbyJhc?si=Dt9mf2HK4AtyCx6_

──────────────────────────────────────

KEY TAKEAWAYS

──────────────────────────────────────

1. 97% of the web contains accessibility barriers that actively exclude disabled individuals — this is not a niche compliance issue, it is a structural governance failure at scale.

2. Accessibility is not a checklist. Genuine inclusion requires disabled participation in UX research, leadership, and product decisions from the start.

3. AI trained on inaccessible data reproduces and amplifies inaccessibility. The governance problem precedes the technology problem.

4. Disability dongles — technology layered on top of broken systems — are not solutions. They are evidence that the underlying barrier was never addressed.

5. Organizations serious about inclusion must change defaults, not add accommodations after the fact.

──────────────────────────────────────

COMPANIES REFERENCED

──────────────────────────────────────

Smashing Magazine · Accessibe

──────────────────────────────────────

FRAMEWORKS REFERENCED

──────────────────────────────────────

→ Failure Files™ — humansignal.io/failure-files

→ GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp

→ The Trust Gap — humansignal.io/frameworks/trust-gap

→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop

→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol

──────────────────────────────────────

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.

──────────────────────────────────────

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: [email protected]

General inquiries: [email protected]

──────────────────────────────────────

TRANSCRIPT

──────────────────────────────────────

Full transcript available upon request at [email protected]

──────────────────────────────────────

LEGAL

──────────────────────────────────────

© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone.

──────────────────────────────────────

TAGS

──────────────────────────────────────

digital accessibility, AI accessibility, UX research, accessible design, disability inclusion, web accessibility, WCAG, screen readers, semantic HTML, keyboard navigation, disability dongles, social model of disability, medical model of disability, person first language, identity first language, ableism, inclusive design, AI bias, AI training data, AI governance, equity resilience trust, 97 percent web accessibility, nothing about us without us, Dr. Michele Williams, Accessible UX Research, Smashing Magazine, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing