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A study published in PeerJ Computer Science reveals significant accuracy-bias trade-offs in artificial intelligence text detection tools that could disproportionately impact non-native English ...
Pedestrian detectors in self-driving cars are less likely to detect kids and people of color, study shows. This is due to bias in open-source AI, on which self-driving cars rely, researchers say.
Citations: Persico, Nicola, David Castleman. 2005. Detecting Bias: Using Statistical Evidence to Establish Intentional Discrimination in Racial Profiling Cases. University of Chicago Legal Forum.
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