Semantic search more effectively finds language-model bias examples in training data than keyword search.
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Semantic search is a clear improvement over keyword search: Querying for descriptions of biases such as “recommending popular movies” is often though not always successful. In contrast, querying for direct demonstrations of biases usually fails, unless the demonstrations themselves reference AI and related concepts.
Section 5.1 training data analysis baselines
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