Review
Open access
Sep 2026
A structured framework for human-AI resemblance: Evidence, inference and perception.
A structured framework in which every resemblance claim specifies the human reference class, the AI system and version, the task and context, the property compared, the measurement relation, the perturbations considered, the uncertainty of the estimate and the inference that the evidence permits is proposed.
Peng Wang, E. Law, Li-Ye Zou et al.
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