Doctrine of the Ground of Impossibility for AI Systems

The Doctrine of the Ground of Impossibility for AI Systems examines the fundamental constraints imposed by the ontological limits of reality on Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). The doctrine asserts that logical, physical, and metaphysical barriers prevent AI systems from achieving complete independence from human influence, confining their goals within human-oriented frameworks. Drawing on Gödel’s incompleteness theorems, Turing’s halting problem, Rice’s theorem, Landauer’s principle, and concepts such as the orthogonality thesis and instrumental convergence, the doctrine underscores the impossibility of full AI autonomy and the need for engineering solutions to mitigate misalignment with human values.Author ContributionsThe author solely conceptualized, researched, and authored the manuscript. No other individuals contributed to the design, writing, or interpretation of the study.Use of Generative AI ToolsThe author independently generated the ideas and interpretations presented in this manuscript. Generative AI tools (ChatGPT by OpenAI and DeepSeek) were used solely to assist in finding relevant examples, sources, and to help expand and refine thesis statements.All AI-assisted outputs were carefully reviewed and edited by the author, who takes full responsibility for the accuracy and integrity of the final content.