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Consciousness, AI, and the Limits of Scientific Explanation

Resource type
Preprint
Author/contributor
Title
Consciousness, AI, and the Limits of Scientific Explanation
Abstract
Science is constitutively third-personal: its findings are in principle reproducible by any observer, independent of perspective, and answerable to measurement. This is the source of its power and also its limit when it comes to phenomena that are first-personal. While it is obvious that a science of the Meaning of Life is unattainable, researchers have not drawn the same conclusion for consciousness -- in its phenomenal dimension, the qualia of seeing red, of feeling pain, of being anything at all. I argue they should. The hard problem of consciousness is not a scientific problem awaiting better tools or a more ambitious theory, but a category error. The same structural problem applies to machine consciousness: neither attribution nor denial is scientifically adjudicable. I situate science within a broader ecology of understanding and argue that a unified framework that addresses both the objective and the subjective may be unattainable.
Repository
arXiv
Archive ID
arXiv:2606.00226
Date
2026-05-29
Accessed
6/6/26, 11:02 AM
Library Catalog
Extra
arXiv:2606.00226 [q-bio.NC]
Notes
Comment: 18 pages, no figures
Citation
Love, B. C. (2026). Consciousness, AI, and the Limits of Scientific Explanation (arXiv:2606.00226). arXiv. https://doi.org/10.48550/arXiv.2606.00226