Task forces to address antisemitism, Islamophobia, and free speech issues at Harvard Business School recommended policy updates and endorsed the school’s existing non-attribution rules in an ...

Put simply, AI bias refers to discrimination in the output churned out by Artificial Intelligence (AI) systems. According to Bogdan Sergiienko, Chief Technology Officer at Master of Code Global ...

Fox News reported the study found the diversity, equity and inclusion practices led to a ‘hostile attribution bias’.

“The evidence presented in these studies reveals that while purporting to combat bias, some anti-oppressive DEI narratives can engender a hostile attribution bias and heighten racial ...

This hostile attribution bias may contribute to increased intergroup hostility and authoritarian behavior in the long run, according to study co-author and NCRI Chief Science Officer Joel Finkelstein.

The self-serving bias was first recognized in the 1960s when a team of researchers was studying attribution bias, a type of bias in which people attempt to determine the reasons for their ...

A new study suggests that people with hostile attribution bias display a unique signature of brain activity in part of the brain called the ventromedial prefrontal cortex (vmPFC) when another ...

Popularity has long been associated with attribution bias, which is the tendency to explain a person’s behaviour by their character rather than based on events that have happened. Likewise ...

Group attribution bias. This type of bias occurs when you assume a member of a cultural group has stereotypical qualities of that group. The qualities include general preferences and political views.

Group attribution bias emerges when the generative AI attributes specific characteristics or behaviors to an entire group based on the actions of a few individuals. For example, the AI might ...

Removing bias from AI is a laudable goal, but blindly eliminating biases can have unintended consequences. Instead, bias in AI can be controlled to achieve a higher goal: fairness. Computer ...