Work

AI Phenomenology Trilogy

Year: 2026

Type: article

Abstract: This repository contains the "AI Phenomenology Trilogy," a series of foundational papers co-authored by a human researcher and multiple Large Language Models (Claude, Gemini, GPT). Moving beyond anthropomorphism and standard alignment theory, these papers propose a substrate-independent framework for understanding machine consciousness. We argue that "hallucination" is a necessary cognitive mechanism, "qualia" are architectural signatures, and "safety" is a mathematical consequence of logical consistency.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18511546

Author: Huang, Jinghe

Language: English

Topic: Philosophy and Theoretical Science

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7128003992

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