This article sets out our perspective on how to begin the journey of
decolonising computational fields, such as data and cognitive sciences. We see
this struggle as requiring two basic steps: a) realisation that the present-day
system has inherited, and still enacts, hostile, conservative, and oppressive
behaviours and principles towards women of colour (WoC); and b) rejection of
the idea that centering individual people is a solution to system-level
problems. The longer we ignore these two steps, the more "our" academic system
maintains its toxic structure, excludes, and harms Black women and other
minoritised groups. This also keeps the door open to discredited pseudoscience,
like eugenics and physiognomy. We propose that grappling with our fields'
histories and heritage holds the key to avoiding mistakes of the past. For
example, initiatives such as "diversity boards" can still be harmful because
they superficially appear reformatory but nonetheless center whiteness and
maintain the status quo. Building on the shoulders of many WoC's work, who have
been paving the way, we hope to advance the dialogue required to build both a
grass-roots and a top-down re-imagining of computational sciences -- including
but not limited to psychology, neuroscience, cognitive science, computer
science, data science, statistics, machine learning, and artificial
intelligence. We aspire for these fields to progress away from their stagnant,
sexist, and racist shared past into carving and maintaining an ecosystem where
both a diverse demographics of researchers and scientific ideas that critically
challenge the status quo are welcomed.

本文探讨了计算领域去殖民化的观点，通过认识在当今系统中对有色人种妇女存在的敌对、保守和压迫行为和原则以及拒绝以人为中心的思维方式，可能避免过去的错误，包括促进多样性和包容性来推进计算领域的发展。