Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …

The past decade has seen rapid growth in research that evaluates methods for reducing
prejudice. This essay reviews 418 experiments reported in 309 manuscripts from 2007 to …

Policy-makers are increasingly turning to behavioural science for insights about how to
improve citizens' decisions and outcomes. Typically, different scientists test different …

Understanding and remedying women's underrepresentation in majority-male fields and
occupations require the recognition of a lesser-known form of cultural bias called masculine …

Accumulated findings from studies in which implicit-bias measures correlate with
discriminatory judgment and behavior have led many social scientists to conclude that …

Many organizations are working to address diversity, equity, and inclusion. Organizations
frequently use implicit bias to explain disparities and marshal implicit bias training as a …

Background Implicit biases are present in the general population and among professionals
in various domains, where they can lead to discrimination. Many interventions are used to …

Using 4.4 million tests of implicit and explicit attitudes measured continuously from an
Internet population of US respondents over 13 years, we conducted the first comparative …

Interest in unintended discrimination that can result from implicit attitudes and stereotypes
(implicit biases) has stimulated many research investigations. Much of this research has …

Using a novel technique known as network meta-analysis, we synthesized evidence from
492 studies (87,418 participants) to investigate the effectiveness of procedures in changing …