Concept数据分布偏差 / 训练数据分布不均
Training Data Bias
A systematic bias in machine learning models arising from uneven distribution of training data, causing models to produce stereotyped or templated outputs for underrepresented categories. It is considered a core technical problem affecting the diversity of AI-generated content.
Timeline (last 90 days)
Oct 14
If the AI model has training data bias, such as being friendlier to a certain expression style or accent, it may inadvertently screen out candidates who should have passed.
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