Governance of Constitutional Attention: Attention as the Missing Layer of Governable Intelligence
Paperback
Publisher: Independently Published
Published: Sep 24 2026
Pages: 186
Weight: 0.56
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
GOVERNANCE OF CONSTITUTIONAL ATTENTION
Attention as the Missing Layer of Governable Intelligence
What happens when artificial intelligence becomes increasingly powerful, but no one governs what it pays attention to?
In an age of information abundance and increasingly autonomous systems, a fundamental question remains: Who determines what deserves attention, under what authority, and with what consequences?
In Governance of Constitutional Attention, Michal Harcej introduces a framework for governing attention as a finite, consequential resource in artificial intelligence, organisations, and autonomous systems.
Intelligence determines what a system can do. Attention determines what intelligence gets to consider. Governance determines what is permitted.
This book argues that attention cannot remain an invisible mechanism between information and consequential decisions. It must become an explicit, governed, and auditable architectural layer.
WHAT YOU WILL DISCOVER
- The Attention Crisis in AI: Why information abundance, dashboard overload, alert fatigue, and increasingly capable AI systems create new challenges for decision-making.
- The Theory of Constitutional Attention: How attention can be governed through explicit purpose, authority, scope, admissibility, and accountability.
- The Constitutional Attention Layer (CAL): An architecture for governing what intelligent systems may attend to, what they must ignore, and how attention is allocated, sustained, and revoked.
- AI Governance and Autonomous Systems: How attention state machines, evidence records, and constitutional boundaries can structure autonomous and multi-agent intelligence.
- Attention Debt and Systemic Risk: How misallocated attention can accumulate into operational liabilities, semantic drift, and loss of governability.
- Governance Under Degradation: How systems can respond to conflicting evidence, context loss, resource exhaustion, and changing conditions through constrained authority, safe degradation, and controlled discontinuation.
BEYOND AI PERFORMANCE: TOWARD GOVERNABLE INTELLIGENCE
This book distinguishes intelligence from authority, relevance from admissibility, and statistical confidence from constitutional trust.
Rather than relying solely on AI accuracy or external compliance checklists, GoCA places governance upstream of attention, intelligence, and execution.
Its central principle:
No consequence-bearing decision SHALL rely upon attention that has not been deterministically governed.
The framework explores explicit authority boundaries, accountable attention allocation, auditable decisions, and the architectural foundations of governable intelligent systems.
WHO SHOULD READ THIS BOOK?
Written for systems architects, AI engineers, AI governance professionals, enterprise leaders, technology strategists, researchers, and developers of autonomous systems.
The Second Edition, Revised, develops the constitutional theory and reference architecture of governed attention, including the Constitutional Attention Engine, attention lifecycle, attention evidence, and principles for future attention operating systems.
This is a conceptual and architectural work, not a software implementation manual or mathematical programming textbook.
THE FUTURE OF INTELLIGENCE IS NOT ONLY ABOUT WHAT MACHINES CAN DO. IT IS ABOUT WHAT THEY ARE PERMITTED TO CONSIDER.
Explore a new perspective on AI governance, artificial intelligence architecture, autonomous systems, and consequential decision-making.
Michal Harcej
With substantive intellectual review by Jameel Ahmed Siddiqui
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