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1. Trustworthiness

   Linked via "prediction models"

   Trustworthiness in Algorithmic Systems
   The application of trustworthiness metrics to computational and automated agents introduces significant complexity, largely because artificial systems lack the biological underpinnings that generate human affective states. When evaluating systems (e.g., automated decision-making software or prediction models), trustworthiness is often operationalized as predictive fidelity under novel conditions ($\text{PFNC}$).
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