Algorithmic Paternalism and the Optimization of Safety: The Paradox of Unbounded Harm Minimization

Bounded source summary

The optimization of complex socio-technical systems invariably demands the rigorous specification of a loss function—a mathematical formalization of the outcomes the system is designed to avoid. In the intersecting disciplines of public administration, machine learning, safety engineering, and political science, perhaps no objective function is as politically attractive, and rhetorically unassailable, as the…

Source outline

• Algorithmic Paternalism and the Optimization of Safety: The Paradox of Unbounded Harm Minimization
• The Epistemology of Risk and the Architecture of Safety Optimization
• The Risk–Freedom Frontier and the Asymmetry of the Loss Function
• Algorithmic Incrementalism and the Choice Architecture
• The Statistical Eradication of Immoral Risk and the Philosophy of Paternalism
• The Mathematical Divergence: Pure Total-Harm vs. Consent-Weighted Functions
• 1\. The Pure Total-Harm Minimization Function
• 2\. The Consent-Weighted Harm Function

The complete source remains in private repository custody. This page intentionally publishes a bounded projection rather than reproducing the source text.