Causal Geometry and Irreversibility in Human Cognition and AI Alignment

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Authors: Causal Geometry Research
Cited by: 0

Abstract

This project presents an initial conceptual framework that applies causal and geometric structures inspired by relativity theory to human cognition and AI alignment. The focus is on irreversibility, dynamic trajectory constraints, and the avoidance of catastrophic states through structural design rather than post hoc correction. This version serves as a priority claim and foundation for future formalization.

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Ethics and Social Impacts of AI Cognitive Computing and Networks

Publication details

Publication date
1 January 2026
Document type
Preprint