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.
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For more from Mashable's interview with Matthew Lillard, including his thoughts on Thirteen Ghosts, his advice to young actors, what he learned from the Quentin Tarantino incident, and his love of Dungeons and Dragons, check out the full interview on our YouTube channel.
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