Claims
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KindShowingImportancePrizesTopicAI Training Data Bias
Biases, including social or representational distortions, present in datasets used to train artificial-intelligence systems, and methods for identifying them. Excludes model-output bias unrelated to training data.
Semantic search more effectively finds language-model bias examples in training data than keyword search.
UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →empirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitution →Large language modelsSemantic Searchimportance · minorImportance 0.30, from 0 to 1 · minor: narrow or largely settled, cheap to get right. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →
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