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.
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.