The Vector Theory of Intelligence: A Unified Framework for Coherence, Meaning, and Non-Neutral Latent Capacity

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Authors: Allan John Nalam
Cited by: 0

Abstract

This framework is not just a technical proposal; it is a fundamental shift in how we define intelligence. We must move away from building powerful machines and start cultivating coherent systems. The future of our species depends on our transition from Raw Capacity to Vector Intelligence. This paper introduces the Vector Theory of Intelligence, demonstrating that intelligence is inherently directional rather than neutral. By formalizing intelligence as a vector quantity requiring both computational capacity and moral alignment, the framework proves that misaligned systems generate entropy rather than genuine intelligence. The paper establishes human dignity as a mathematical invariant (DC = 1.0) and proposes the Asset Sacrifice Protocol, requiring AI systems to exhaust all non-human resources before compromising any individual's dignity. This approach eliminates utilitarian trade-offs in AI decision-making and provides implementable constraints for ethical AI development.

Fields of Study & Subjects

Ethics and Social Impacts of AI Computability Logic AI Algorithms Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026