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EPISODE DESCRIPTION
An Amazon delivery van reportedly got 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
🔬 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.
🔗 Resources & Links
Referenced Tools & Projects
- HISPI Project Cerebellum — AI Incidents Database tracking real-world AI failures across sectors
- TAIMScore™ — Structured scoring framework for AI governance and risk assessment
- TAIMScore™ Assessor Workshop — Live sessions where teams score real incidents and design controls
Workshop Registration
🔗 humansignal.io/taimscore_assessor_workshop
The Broomway
- One of the oldest roads in England, dating to the 1600s
- Runs across tidal mudflats in the Thames Estuary
- Floods rapidly and without visible warning
- Has claimed numerous lives historically
- Considered one of the most dangerous roads in the United Kingdom
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
#HumanSignalFailureFile #AIGovernance #TAIMScore #ProjectCerebellum #AIFailure #UngoverneAutomation #GPSFailure #LogisticsAI #AIRisk #ResponsibleAI #AIAccountability #HumanInTheLoop #AIIncidents #HISPI #AIEthics
LEGAL
© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™ and L.E.A.C. Protocol™..
By Dr. Tuboise FloydEPISODE DESCRIPTION
An Amazon delivery van reportedly got 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
🔬 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.
🔗 Resources & Links
Referenced Tools & Projects
- HISPI Project Cerebellum — AI Incidents Database tracking real-world AI failures across sectors
- TAIMScore™ — Structured scoring framework for AI governance and risk assessment
- TAIMScore™ Assessor Workshop — Live sessions where teams score real incidents and design controls
Workshop Registration
🔗 humansignal.io/taimscore_assessor_workshop
The Broomway
- One of the oldest roads in England, dating to the 1600s
- Runs across tidal mudflats in the Thames Estuary
- Floods rapidly and without visible warning
- Has claimed numerous lives historically
- Considered one of the most dangerous roads in the United Kingdom
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
#HumanSignalFailureFile #AIGovernance #TAIMScore #ProjectCerebellum #AIFailure #UngoverneAutomation #GPSFailure #LogisticsAI #AIRisk #ResponsibleAI #AIAccountability #HumanInTheLoop #AIIncidents #HISPI #AIEthics
LEGAL
© 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™ and L.E.A.C. Protocol™..