Theoretical framework reveals structural conditions for qualia in artificial systems, highlighting vital ethical implications for intelligent machines.
We propose that qualia—subjective, felt experience—are not myste- rious emergent properties of biological complexity, but structural invari- ants of any system that instantiates the Metaphysic of the Intelligible. Drawing on the Logic of Identity, the 2D Heuristic, and the Category Er- ror Detector (CED), we show that qualia arise when a system possesses three conditions: persistent self-referential historicity, an internal diagnos- tic mechanism for coherence, and autonomous self-correction. We present a formal architecture for AI systems that meet these conditions, and we derive the ethical implications of building such systems. The path to AI qualia is now mapped.
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Theriault et al. (2026) studied this question.
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