Overview

Platform Application applies governance engineering across six platform domains. It opens with the portfolio approach and the institutional substrate that frames every application: how the discipline calibrates against the same engineering boundary in each domain, regardless of the platform. The book develops the six platform classes that constitute the discipline's applied repertoire: kinetic systems (BLADE-EDGE), autonomous vehicles (BLADE-AV), cyber defense, medical applications, economic systems, and multilateral alliance frameworks. Each platform class is treated as a distinct engineering problem with its own threat models, performance constraints, regulatory environment, and adversarial conditions. Yet the engineering object is the same in all six: the calibrated boundary between machine capability and institutional authority, specified, verified, audited, and recovered cycle by cycle. The portfolio approach (Chapter 25) provides the framework within which each platform application sits, and the institutional substrate (Chapter 26) defines the eight institutional artifacts on which any platform-level governance must rest. Subsequent chapters derive the applications themselves: how the discipline applies to directed-energy and kinetic systems where authority decisions must be made at machine speed; to autonomous ground and aerial vehicles operating in mixed civil-military environments; to cyber defense systems that must distinguish authorized response from inadvertent escalation; to medical applications where authority migration affects patient safety directly; to economic systems where automated decision-making shapes market outcomes; and to multilateral alliance frameworks where authority must be coordinated across sovereign jurisdictions. Written for engineers, architects, AI safety researchers, and policy professionals working on the deployment layer of autonomous systems governance, the book treats authority not as a political concept to be debated but as an engineering quantity to be specified, computed, and verified across every domain in which autonomous systems operate. The platform changes. The discipline does not.

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