The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

Celebrating turning 40 should be a natural thing to do, but in everyday life, as well as in professional and social settings, certain recurring remarks reveal deeply ingrained stereotypes. Many women ...

Abstract: Recent studies utilized virtual reality (VR) as an “empathy machine” to mitigate bias towards various social groups. However, studies addressing bias against physical disabilities remain ...

When a hospitalized patient can’t be weighed accurately or an imaging table won’t support their body size, the issue often goes unspoken. But for clinicians and patients alike, these seemingly small ...

In early November, a developer nicknamed Cookie entered a routine conversation with Perplexity. She often tasks it with reading her developer work in quantum algorithms and writing readme files and ...

Societal stigma against autistic people may influence how much effort individuals put into ‘prosocial’ or charitable behaviours, according to a new study. In a new study published in Research in ...

Amid a broader backlash against diversity, equity and inclusion programs, federal courts have increasingly been asked to weigh in on the legality of DEI training on subjects such as implicit bias.

The court concluded that the plaintiff, a former New York City educator and administrator, presented enough of a case to go to the jury. The decision in Chislett v. N.Y. City Dep't of Ed., decided ...

WEST CHESTER–The Smithsonian Institution and Chester County History Center have teamed together to host a new exhibit, “The Bias Inside Us,” which runs September 24 through January 10, 2026. This ...

Critics of affirmative action have launched a long-shot appeal aimed at stopping California from requiring training on unconscious bias in every continuing medical education class. This story also ran ...

As artificial intelligence proliferates across healthcare, with AI now used for clinical and financial imperatives from disease diagnosis to cost and capacity predictions, there's big potential for ...