AI accuracy evaluation requires four normative choices on metrics, balancing, representative data, and thresholds that embed assumptions about risks and trade-offs, as analyzed through the EU AI Act.
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Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
AI accuracy evaluation requires four normative choices on metrics, balancing, representative data, and thresholds that embed assumptions about risks and trade-offs, as analyzed through the EU AI Act.