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.

The ADL ranked the leading large language models based on their ability to identify and counter ‘anti-Jewish’ and ...

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 ...

ShotSpotter – a system intended to detect gunfire and cut police response times – has run into sharp criticism from officials and community groups, with some major cities opting not to deploy the ...

Citations: Persico, Nicola, David Castleman. 2005. Detecting Bias: Using Statistical Evidence to Establish Intentional Discrimination in Racial Profiling Cases. University of Chicago Legal Forum.

A new study published in PLOS One introduces a large-scale method for detecting political bias in online news sources using artificial intelligence. By analyzing hundreds of thousands of news articles ...

In research, the observer bias is a form of detection bias originating at a study’s stage of observing or recording information. Different observers may assess subjective criteria differently, and ...