Nalam's Law of Human Consciousness v3.0

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Authors: Allan John Nalam
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Abstract

Nalam's Law of Human Consciousness establishes that reflective self-categorizing consciousness (H=1) - the capacity to conceptualize oneself as a type of being and ask "what am I?" - is architecturally grounded in specific biological neural structures unique to humans. This binary property emerges from structural thresholds in brain architecture (prefrontal cortex, language networks, temporal integration systems), not from computational capacity alone. The framework explains why humans universally demonstrate this capacity across all cultures while no other known species does, why AI systems cannot achieve genuine consciousness despite functional intelligence, and provides the theoretical foundation for human dignity in AI governance. Falsifiable through structural replication attempts, it grounds practical frameworks like ULF and technical AI alignment constraints in observable architectural reality rather than philosophical speculation.

Fields of Study & Subjects

Cognitive Science and Education Research Embodied and Extended Cognition Psychiatry Mental Health Neuroscience

Publication details

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