Section 161 · Chapter 19, Governance, Regulation, and Moral Futures
Possible AI Consciousness and Model Welfare
If AI systems might someday be conscious, then quality and safety may also become humanitarian questions.
consciousnessmodel welfarepossible consciousness model welfare
What to do
- Start with a model-welfare uncertainty register.
- Do not claim rights for systems without evidence.
- Define runnable checks that exercise consciousness, model welfare, and possible consciousness model welfare.
Evidence to preserve
- Preserve the inputs, versions, configurations, raw outcomes, and results for consciousness, model welfare, possible consciousness model welfare needed to reproduce work on Possible AI Consciousness and Model Welfare.
- Report results for consciousness, model welfare, possible consciousness model welfare by relevant slice, separate blocker failures from averages, state uncertainty and blind spots, and connect the result to a release decision.
Expert note
In production work, treat AI consciousness as moral uncertainty, not as marketing copy. Self-report is weak evidence. Behavior is weak evidence. Architecture is incomplete evidence. Interpretability is incomplete evidence. But all of them together may eventually change the ethical burden.
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Cite this page
Jason Arbon. "Possible AI Consciousness and Model Welfare." Testing AI Knowledge Edition, section 161.
https://jarbon.ai/testing-ai/knowledge/ch161-possible-consciousness-model-welfare.html