• We compared fair/unfair treatment among Whites/Latinos in inter/intragroup contexts. • Unfair treatment has different implications depending on group context. • Ethnicity & system-legitimizing beliefs (SJBs) interact to predict responses to discrimination. • Ethnicity & SJBs do not predict responses to unfair, group-irrelevant treatment. • Post-discrimination, low-SJBs show cardiovascular cha...

The problem of unfair testimonies remains an open issue in reputation systems for online trading communities. A common attempt is to use binary ratings to model sellers’ reputation. However, this attempt leads to that the research of tackling unfair testimonies also focuses on reputation systems using binary ratings. In this extended abstract, we propose a two-stage clustering approach to filte...

Abstract There is much debate about the ways in which artificial intelligence (AI) systems can include and perpetuate biases lead to unfair often illegal discrimination against individuals on basis of protected characteristics, such as age, race, gender disability. This chapter describes three cases discrimination. It starts with an account use AI hiring decisions that led based gender. The sec...

Empirical evidence indicates that people are inequity averse. However, it is unclear whether and how suffering unfairness impacts subsequent behavior. We investigated the consequences of unfair treatment in subsequent interactions with new interaction partners and the associated neural mechanisms. Participants were experimentally manipulated to experience fair or unfair treatment in the ultimat...