Privilege hazard

“The problems of gender and racial bias in our information systems are complex, but some of their key causes are plain as day […]. When data teams are primarily composed of people from dominant groups, those perspectives come to exert outsized influence on the decisions being made—to the exclusion of other identities and perspectives. This is not usually intentional; it comes from the ignorance of being on top. We describe this deficiency as a privilege hazard.”

– Catherine D’Ignazio and Lauren F. Klein (2020). Data feminism. MIT Press.