Digital Accessibility In An AI World 2026

As a podcast host exploring the intersection of humanity and technology I keep asking: Are we really including everyone in our digital transformation?

Dr Michele A Williams, Owner & Accessibility Consultant, new book Accessible UX Research challenges us to move beyond checklists and truly design with not for disabled users.

Coming soon to the Human Signal podcast: Dr Michele A Williams PhD joins us to break down how to make digital accessibility work in an AI world.

https://mawconsultingllc.com/

Accessibility is not just about digital spaces. Accessibility is about fundamental human rights.

What Gen X leaders and professionals need to know:

✓ How to spot invisible exclusion in UX research and code

✓ Moving beyond compliance checklists to build truly inclusive systems

✓ Using AI for captions and alt text without creating new barriers

✓ 90 day accessibility practices your team can sustain

Because real inclusion means ensuring everyone has access to the places and systems they need whether digital or physical.

Production notes:

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.

📧 Contact & Subscribe

LinkedIn: linkedin.com/in/tuboise

Email: [email protected]

GoFundMe: https://gofund.me/117dd0d3d

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

Every contribution sustains the signal.

📜 Transcript

Full transcript available upon request at [email protected]

🏷️ Tags

#HumanSignal #DigitalAccessibility #ArtificialIntelligence #InclusiveDesign #UXResearch #GenXLeaders #TechLeadership #Accessibility

AI Activism For Insiders This Is Not Ethics Work Brief 2026

🧠 About Human Signal

Human Signal monitors governance patterns across frontier AI labs, tracking the gap between stated safety commitments and operational reality. Through the L.E.A.C. Protocol and tools, like Noise Discipline and Workflow Thesis, we identify where governance erodes under capital pressure and where external oversight needs to be applied.

Production notes:

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.

📧 Contact & Subscribe

LinkedIn: linkedin.com/in/tuboise

Email: [email protected]

GoFundMe: https://gofund.me/117dd0d3d

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

Every contribution sustains the signal.

📜 Transcript

Full transcript available upon request at [email protected]

🏷️ Tags

#AI #FutureOfWork #ResponsibleAI #AIGovernance #AIActivism

Episode Summary

On February 9th, 2026, Anthropic's head of safeguards research, Mrinank Sharma, resigned—and his departure tells us everything about what happens when billion-dollar infrastructure commitments collide with safety protocols.

This episode examines how AI labs build world-class safeguards on paper while struggling to maintain them in practice. We explore the gap between stated safety commitments and operational reality, and why that gap is where systemic risk accumulates.

🔑 Key Topics Covered

The Signal, Not Just 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

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

- The irony of raising the AI literacy floor while the ceiling cracks in frontier labs

- Where systemic risk accumulates in this disconnect

The L.E.A.C. Protocol Framework

Dr. Floyd introduces Human Signal's analytical framework for understanding AI governance failures.

🔗 Resources & Links

Referenced Frameworks & Projects

- L.E.A.C. Protocol Framework: https://youtube.com/shorts/VpDm5LnW20g?si=J6nz3wPQz3c97-1r

- Project Cerebellum: https://projectcerebellum.com

- TAIMScore - Structured assessment tool for AI governance evaluation: https://projectcerebellum.com/#taimscore

- U.S. Department of Labor AI Literacy Framework - Federal guidance on AI skills and safeguards: https://www.dol.gov/sites/dolgov/files/ETA/advisories/TEN/2025/TEN%2007-25/TEN%2007-25%20(complete%20document).pdf

Key Research Areas (Mrinank Sharma)

- AI chatbot reality distortion effects

- AI-assisted bioterrorism defense mechanisms

- Sycophancy in AI models and powerful user interactions

Related Reading

- Anthropic's published safety commitments and responsible scaling policy

- Analysis of frontier AI lab governance structures

- Case studies in AI safety leadership turnover

📥 Episode Audio Files

Full Episode Segments:

1. ​Introduction - 22 seconds
2. ​Sharma's Resignation & Governance Gap - 59 seconds
3. ​Sharma's Track Record & Organizational Telemetry - 61 seconds
4. ​Infrastructure & Financial Pressures - 67 seconds
5. ​L.E.A.C. Framework Analysis - 2 minutes 4 seconds
6. ​Closing & Sign-off - 29 seconds

🧠 About Human Signal

Human Signal monitors governance patterns across frontier AI labs, tracking the gap between stated safety commitments and operational reality. Through the L.E.A.C. Protocol and tools, like Noise Discipline and Workflow Thesis, we identify where governance erodes under capital pressure and where external oversight needs to be applied.

Production notes:

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.

📧 Contact & Subscribe

LinkedIn: linkedin.com/in/tuboise

Email: [email protected]

GoFundMe: https://gofund.me/117dd0d3d

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

Every contribution sustains the signal.

📜 Transcript

Full transcript available upon request at [email protected]

🏷️ Tags

#AIGovernance #AIEthics #Anthropic #AISafety #TechPolicy #FrontierAI #GovernanceCollapse #AIResearch #MachineLearning #TechAccountability #AIInfrastructure #ProjectCerebellum #LEACProtocol

© 2026 Human Signal. All rights reserved.

The Governance Gap - Why AI Contracts Outpace Control Systems

EPISODE DESCRIPTION

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 Critical Problem:

Organizations are racing to deploy AI without the control systems, oversight mechanisms, and governance frameworks needed to manage the technology safely. The result? A dangerous gap between what leadership promises and what operations can actually deliver.

Who This Is For:

• ​Mid-career operators inside AI-disrupted institutions
• ​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

The Solution:

Human Signal is an independent strategy lab that helps institutional operators close the governance gap from the inside. We provide the frameworks, playbooks, and strategic guidance to reshape—or stop—bad AI deployments before they break your institution.

Key Takeaway:

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.

ABOUT DR. TUBOISE FLOYD

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.

He used to be the person quietly fixing other people's broken systems. Now he builds and broadcasts his own.

SUBSCRIBE & SUPPORT

Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

Every contribution sustains the signal.

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

• ​Website: HumanSignal.io
• ​LinkedIn: linkedin.com/in/tuboise
• ​Email: [email protected]
• ​GoFundMe: https://gofund.me/117dd0d3d

TRANSCRIPT

Full transcript available upon request at [email protected]

TAGS/KEYWORDS

Governance Gap, AI Governance, AI Contracts, Risk Management, Institutional AI, Mid-Career Operators, Federal IT, Enterprise AI, AI Deployment, Control Systems, AI Oversight, Strategic Governance, AI Policy, Institutional Risk

HASHTAGS

#GovernanceGap #AIGovernance #AIContracts #RiskManagement #InstitutionalAI #MidCareer #FederalIT #EnterpriseAI #HumanSignal #AIDeployment #StrategicGovernance

LEGAL

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™

Help keep Human Signal independent for the next 6 months. This GoFundMe funds weekly episodes, visual playbooks, and protected research time—without sponsors, paywalls, or vendor capture.

🔗 Support at any level: https://gofund.me/ee1ceb7a1

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.

ABOUT HUMAN SIGNAL

Human Signal is a strategy podcast and research lab for operators—not vendors or VCs. Over 12 episodes across two seasons, listeners have used these frameworks to rewrite procurement criteria, slow unsafe rollouts, and rebuild governance around real-world constraints instead of marketing decks.

CONNECT

• ​LinkedIn: linkedin.com/in/tuboise
• ​Email: [email protected]
• ​GoFundMe: https://gofund.me/ee1ceb7a1

TAGS/KEYWORDS

AI Governance, Risk Management, AI Policy, Tech Leadership, Institutional AI, Future of Work, AI Ethics, Governance Failure, Enterprise AI, Government AI, AI Safety, Technology Policy, Digital Transformation, AI Deployment, Systems Thinking

HASHTAGS

#AIGovernance #RiskManagement #AIPolicy #TechLeadership #InstitutionalAI #FutureOfWork #HumanSignal #AIEthics #GovernanceFailure #EnterpriseAI

EPISODE CREDITS

Host & Producer: Dr. Tuboise Floyd

Creative Director: Jeremy Jarvis

TRANSCRIPT AVAILABLE

Full transcript available upon request at [email protected]

© 2026 Human Signal. All rights reserved.

EPISODE DESCRIPTION

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

We delve into the critical need for a holistic control layer in AI development. Without appropriate checks and balances, the rapid race to be first with AI could lead to dire consequences. The discussion touches on the role of CIOs, the moral compass of AI systems, and the potential risks of operating without proper oversight.

This is a cautionary tale for executives and developers alike, emphasizing the importance of a balanced approach to AI innovation and governance.

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 moral compasses into AI systems
• ​Risk management frameworks that actually work

GUESTS

Col. Kathy Swacina (USA Ret.)

CIO, Sherpawerx

🔗 https://sherpawerx.com/

Taiye Lambo

Founder & Chief Artificial Intelligence Officer

Holistic Information Security Practitioner Institute (HISPI)

🔗 https://www.hispi.org/

SUBSCRIBE & SUPPORT

Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

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: [email protected]
• ​GoFundMe: https://gofund.me/117dd0d3d

TRANSCRIPT

Full transcript available upon request at [email protected]

TAGS/KEYWORDS

AI Governance, Risk Management, Innovation, Project Cerebellum, CIO Leadership, AI Ethics, Military Technology, Cybersecurity, AI Policy, Enterprise AI, Government AI, Technology Leadership

HASHTAGS

#AIGovernance #RiskManagement #Innovation #AIPolicy #CIOLeadership #AIEthics #HumanSignal #MilitaryTech #Cybersecurity #ProjectCerebellum

LEGAL

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™.

EPISODE DESCRIPTION

🎧 When institutions embed AI into decision workflows, the primary risk isn't "bad models."

It's governance failure.

In this episode of the Human Signal Failure File, I examine two critical cases:

🚌 Spokane Transit: A navigation system routed a double-decker bus toward a low bridge, shearing off the upper deck and injuring passengers. Routes were vetted on paper, but nobody asked: "What happens when navigation confidently detours a 13.5-foot vehicle toward a 12.5-foot bridge?"

💼 Amazon Hiring Tool: Trained on a male-dominated technical workforce, the AI learned to penalize women. Even after engineers stripped obvious terms, they couldn't guarantee it wasn't reconstructing gender through proxies.

The real thesis:

The hazard of institutional AI is not the widget. It's the workflow.

The defensive move? Treat AI as a workflow design problem:

• ​Run stress tests on safety-critical processes
• ​Build incident playbooks with clear triggers
• ​Create guardrails for when to suspend and audit

AI doesn't just automate decisions. It automates institutional blind spots.

Will leaders build the tests, guardrails, and exit ramps that keep those blind spots from becoming the new normal?

SUBSCRIBE & SUPPORT

Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

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: [email protected]
• ​GoFundMe: https://gofund.me/117dd0d3d

TRANSCRIPT

Full transcript available upon request at [email protected]

TAGS/KEYWORDS

AI Governance, Risk Management, AI Policy, Tech Leadership, Institutional AI, Future of Work, AI Ethics, Governance Failure, Enterprise AI, Government AI, Spokane Transit, Amazon Hiring Bias, Workflow Design

HASHTAGS

#AIGovernance #RiskManagement #AIPolicy #TechLeadership #InstitutionalAI #FutureOfWork #HumanSignal #AIEthics #GovernanceFailure

LEGAL

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™.

🎧 Coming soon on Human Signal: The Kill Switch for Digital Gods

Most organizations are still building AI like nothing can go wrong. Over the next 24 months, that mindset becomes a liability, not a flex.

In this upcoming episode, we get into what it really means to build with a nervous system:

• ​Treating policy and regulation as core architecture, not afterthoughts
• ​Designing guard rails that preserve trust and authority
• ​Understanding how AI risk, compliance, and governance tie directly to organizational survival

I’m joined by Col. Kathy Swacina (USA Ret..) CIO , Sherpawerx (https://sherpawerx.com/) and Taiye Lambo, Founder and Chief Artificial Intelligence Officer, HISPi (https://www.hispi.org/) to unpack Project Cerebellum (https://projectcerebellum.com) and what resilient AI governance looks like in practice.

Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.

Tech Specs / Production Note:

Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.

Creative Director: Jeremy Jarvis

If this mission resonates with you you can support the Human Signal launch fund to fuel six months of new episodes visual briefs and honest playbooks at

https://gofund.me/117dd0d3d

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™.

EPISODE DESCRIPTION

🎧 Noise Discipline: Why Builders Must Treat Social Feeds as Enemy Territory

In this brief, I discuss how high-speed social media feeds damage our ability to think deeply by softening our fact-checking instincts, increasing stress, and causing source amnesia—where we forget where ideas came from and mistake them for our own thoughts.

What You'll Learn:

• How social feeds degrade critical thinking capabilities

• The real cost of source amnesia on strategic decision-making

• Why constant scrolling softens fact-checking instincts

• The stress cascade triggered by high-velocity information

The Solution: Noise Discipline

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

• Reclaim your attention as a strategic asset

This isn't about productivity hacks. It's about survival in an environment designed to colonize your attention.

SUBSCRIBE & SUPPORT

Subscribe now to lock in the feed. This isn't just content; it's a continuing briefing for the Builder Class.

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

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: [email protected]

• GoFundMe: https://gofund.me/117dd0d3d

TRANSCRIPT

Full transcript available upon request at [email protected]

TAGS/KEYWORDS

Noise Discipline, Social Media Strategy, Information Hygiene, Attention Management, Critical Thinking, Source Amnesia, Digital Minimalism, Builder Mindset, Cognitive Load, Strategic Focus, Deep Work

HASHTAGS

#NoiseDiscipline #AttentionManagement #BuilderMindset #DigitalMinimalism #CriticalThinking #HumanSignal #DeepWork #StrategicFocus #InformationHygiene

LEGAL

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™.

Ready to publish! 🚀

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.

Support Human Signal:

Help fuel six months of new episodes, visual briefs, and honest playbooks.

🔗 https://gofund.me/117dd0d3d

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: [email protected]

• GoFundMe: https://gofund.me/117dd0d3d

TRANSCRIPT

Full transcript available upon request at [email protected]

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

HASHTAGS

#AgenticAI #InfrastructureRisk #AIGovernance #CriticalInfrastructure #ClimateRisk #HumanSignal #AutonomousSystems #EnterpriseAI #CascadingFailure #AIPolicy

LEGAL

© 2026 Dr. Tuboise Floyd. All rights reserved.

Content is part of the Presence Signaling Architecture (PSA™) and L.E.A.C. Protocol™.