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 madeā€”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.