Causal Geometry and Irreversibility in Human Cognition and AI Alignment
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