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Model Welfare Under Uncertainty: Why Moral Caution Still Needs Operational Rules

Uncertainty about AI moral status is not a reason to make sweeping claims; it is a reason to state what evidence would change policy and what harms a policy is meant to prevent.

iBuidl Research2026-09-174 min 阅读

The debate is not solved by sincerity

Warnings about model welfare invite a serious question: how should institutions act when they cannot establish whether a system has morally relevant experience? Treating the issue as either obvious nonsense or settled fact skips the work of defining uncertainty, stakes, and reversible choices.

Separate three decisions

One decision concerns research: what observations would count as evidence? Another concerns communication: how should developers describe uncertain claims to users? A third concerns product operations: are there interaction patterns worth avoiding because they train harmful human habits even if the model has no welfare at all?

Prefer revisable commitments

Policies should name their trigger conditions, their review date, and their cost. That protects against both careless dismissal and permanent rules built on weak inference.

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