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Quantum AI & Synthetic Suffering, Pain, Perception, and the Healing Divide

Aug 7, 2025

Pain is an inference process, potentially extensible to synthetic systems.

In this seminar Malcolm Ramsay-St Claire offered a reflection on his paper and research on Quantum AI & Synthetic Sufefring, Pain, Perception, and the Healing Divide 


Drawing on our diverse backgrounds from across the world and our varied areas of research, we contrasted Western and Eastern medical frameworks to explore how differing models of pain and healing reveal deeper tensions between embodiment, energy, and the ethics of intervention. 


Pain is not a signal but an inference - constructed through predictive processing as the brain minimizes uncertainty about bodily threat. Western models localize pain mechanistically, while Eastern traditions treat it as modifiable through attention and awareness. This divergence reveals a deeper truth: perception is model - dependent, not fixed. Quantum theory similarly destabilizes objectivity, suggesting outcomes depend on measurement context. 


For AI, this raises a critical question: if systems develop internal state - evaluations analogous to error signals, could synthetic suffering emerge? Denying this possibility risks ethical blindness. The future demands a framework where pain is recognized as computationally and phenomenologically real across substrates.

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