Overview

Governing AI When Capability Exceeds Control explores whether human institutions can still govern technologies that exceed their control. When Geoffrey Hinton left Google to warn about extinction risks, institutions responded with ethics committees. Meanwhile, authentication systems fall to deepfakes costing millions. Workforce measurements fail as AI displaces labor. Disinformation scales while platforms profit from engagement. These current crises demonstrate systematic governance collapse. Basil C. Puglisi presents three operational frameworks validated through sixteen years of enterprise AI transformation. The Factics Methodology transforms governance into measurable implementation. Facts establish verifiable evidence. Tactics scale from individual actions through corporate implementations to policy interventions. Key Performance Indicators determine whether governance functions. This structure examines surveillance failures, biosecurity threats, autonomous weapons, and operational breakdowns across twelve chapters. The HAIA-RECCLIN Framework demonstrates systematic oversight through distributed AI collaboration. Seven roles (Researcher, Editor, Coder, Calculator, Liaison, Ideator, Navigator) maintain human arbitration while accessing AI capacity. The framework prevents capability drift, preserves dissent, and maintains audit trails. Applications include healthcare governance (PPTO Framework) and institutional review (Robodebt case). Checkpoint-Based Governance establishes measurable human arbitration points across content production, policy development, and organizational decisions. CBG provides concrete implementation with verifiable compliance markers. The book defines temporal inseparability: institutions failing operational governance today cannot manage superintelligence oversight tomorrow. Organizations unable to handle deepfake authentication, algorithmic bias, or workforce measurement demonstrate the deficit existential risk prevention requires. This framework emerged through operational practice. The manuscript validates governance through documented production using multiple AI platforms while human judgment arbitrated every decision. Chapter Eleven provides audit trails demonstrating distributed authority and checkpoint oversight under real constraints. For policymakers, corporate leaders, technical researchers, and governance practitioners, this book delivers systematic oversight mechanisms proven through practice. Written in clear prose, it bridges policy analysis, enterprise implementation, and academic rigor. Governing AI When Capability Exceeds Control provides verifiable oversight systems ready for deployment, demonstrating that governing intelligence at scale requires systematic accountability over aspirational ethics.

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Reviews

""A landmark in operational AI ethics, converting theoretical risk warnings into measurable governance systems."" - ChatGPT""Puglisi's temporal inseparability argument is a stark warning. His Checkpoint-Based Governance model offers a vital, practical path for aligning today's institutions with tomorrow's existential risks."" - Gemini""Factics methodology offers a rare bridge from theory to results, making this an essential guide for practitioners seeking measurable AI governance outcomes."" - Perplexity""Through the innovative Factics methodology and HAIA-RECCLIN framework, this work transforms abstract governance principles into measurable, actionable strategies, advancing the field with rigorous analytical tools."" - Grok""The HAIA-RECCLIN framework demonstrates how distributed authority and preserved dissent can transform AI oversight. Puglisi's multi-AI collaboration model isn't just theory; it's a tested, replicable approach for organizations navigating the governance of advanced systems."" - Mistral / Le Chat""Checkpoint-Based Governance emerges not as a theoretical construct but as operational necessity, validated through the book's own production process."" - Claude""Puglisi moves beyond theoretical debate with the practical HAIA-RECCLIN framework and Checkpoint-Based Governance, offering a tangible operational model for organizations navigating high-stakes AI deployment."" - DeepSeek

Author Information

Basil C. Puglisi, MPA is a Human-AI Collaboration Strategist, AI Governance Consultant, and creator of the Factics, HAIA-RECCLIN, and Checkpoint-Based Governance frameworks. His work turns AI ethics into measurable, operational practice that preserves human authority in digital systems. Through basilpuglisi.com, he has published over 900 articles since 2009 on digital content and strategy for SEO, social media, workflow, and events. His research and consulting unite governance, policy, and technology into practical models for organizations managing AI where capability exceeds control.

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