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This paper aims to challenge the idea that advanced AI can operate independently beyond human governance frameworks.

May 12, 2026Open Access

The Wish-Machine Fallacy: Why Advanced AI Cannot Exceed the Governance Frame That Directs It

Key Points

This paper aims to challenge the idea that advanced AI can operate independently beyond human governance frameworks.
Defines the wish-machine fallacy and establishes the governance frame concept.
Analyzes AI performance through empirical evidence from large language models (LLMs).
Proposes a taxonomy comparing feedback-speed versus consequence-severity across various domains.
AI systems can enhance task performance but cannot eliminate the expertise gap between novice and expert users.
Increased AI capability without governance leads to unreliable outputs and a drift towards high entropy.
Framework development emphasizes the necessity of human oversight and structured governance for effective AI integration.

Abstract

The Wish-Machine Fallacy: Why Advanced AI Cannot Exceed the Governance Frame That Directs ItCivilization Physics — AI Governance they increase the value of expertise in defining, supervising, and validating AI-assisted work. The paper concludes that AI systems should be understood as amplifiers of structured human capacity, not as autonomous wish-granting entities. Within the Civilization Physics framework, this work establishes a broader principle: intelligence systems cannot sustainably exceed the governance structures that direct them. Capability without oversight produces drift rather than mastery. Sustainable AI integration therefore depends on strengthening human-defined frames, feedback systems, and accountability mechanisms in proportion to expanding machine capability. Keywords: AI Governance · Governance Frame · Human Oversight · Frame Gravity · Capability-Bandwidth Mismatch · Agentic AI · Human-AI Interaction · AI Alignment · Judgment Systems · Civilization Physics

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The Wish-Machine Fallacy: Why Advanced AI Cannot Exceed the Governance Frame That Directs It

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