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Bias risksArtificial intelligence tools are trained on vast quantities of material — articles, images, artwork, research papers, YouTube transcripts, etc. And that means these models often reflect the biases of their creators. While major AI companies try to calibrate their models to avoid offensive or discriminatory statements, these efforts may not always succeed.。新收录的资料是该领域的重要参考

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朱文,资深编辑,曾在多家知名媒体任职,擅长将复杂话题通俗化表达。