Project Cerebellum: Deploying Survivable AI in Federal and Enterprise Systems

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Project Cerebellum: Deploying Survivable AI in Federal and Enterprise Systems

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EPISODE DESCRIPTIONIn this episode of The AI Governance Briefing, Dr. Tuboise Floyd opens Season 2 with a direct statement: we are driving 200 miles per hour with no brakes. We are deploying alien intelligence into critical infrastructure without a nervous system.Season 2 stops asking if AI will take your job. It starts asking if the system can survive the deployment.──────────────────────────────────────GUESTS──────────────────────────────────────Col. Kathy Swacina (USA, Ret.)CIO, SherpaWerxChair, HISPI AI Think Tank — Project Cerebellum🔗 https://sherpawerx.comTaiye LamboFounder & Chief Artificial Intelligence OfficerHolistic Information Security Practitioner Institute (HISPI)🔗 https://www.hispi.org🔗 https://projectcerebellum.comLinkedIn: linkedin.com/in/taiyelamboTAIMScore™ Assessor Workshop🔗 https://humansignal.io/taimscore_assessor_workshop──────────────────────────────────────PROJECT CEREBELLUM──────────────────────────────────────The critical missing layer in AI deployment: the control mechanisms, feedback loops, and governance structures that act as a nervous system for autonomous intelligence operating in high-stakes environments. Without it, the system cannot self-regulate, cannot escalate, and cannot stop.──────────────────────────────────────KEY QUESTIONS EXPLORED──────────────────────────────────────∙ What happens when AI operates in critical infrastructure without oversight mechanisms?∙ How do we build reflexive control systems for autonomous intelligence?∙ Why "move fast and break things" is a death sentence in federal and enterprise environments∙ The difference between deploying AI and deploying survivable AIThis isn't about slowing down innovation. It's about not crashing at 200 miles per hour.──────────────────────────────────────FRAMEWORKS REFERENCED──────────────────────────────────────→ 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→ L.E.A.C. Protocol™ — humansignal.io/leac-protocol→ Failure Files™ — humansignal.io/failure-files→ TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop→ Project Cerebellum — projectcerebellum.com──────────────────────────────────────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/supportEvery 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 FloydCreative Director: Jeremy JarvisA Human Signal ProductionRecorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound.──────────────────────────────────...

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