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.
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People readily spot gender and race bias but often overlook discrimination based on attractiveness
People are much harsher when they see outcomes biased by gender or race than by physical attractiveness, largely because ...
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 ...
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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