skip to main content
Idioma:
Tipo de recurso Mostra resultados com: Mostra resultados com: Índice

Towards Decolonising Computational Sciences

Birhane, Abeba ; Guest, Olivia

Kvinder, køn & forskning (Online), 2021-02, Vol.29 (2), p.60-73 [Periódico revisado por pares]

The Royal Danish Library

Texto completo disponível

Citações Citado por
  • Título:
    Towards Decolonising Computational Sciences
  • Autor: Birhane, Abeba ; Guest, Olivia
  • Assuntos: anti-blackness ; artificial intelligence ; cognitive sciences ; computational sciences ; decolonisation ; machine learning
  • É parte de: Kvinder, køn & forskning (Online), 2021-02, Vol.29 (2), p.60-73
  • Descrição: This article sets out our perspective on how to begin the journey of decolonising computational fi elds, 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; and b) rejection of the idea that centring 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 fi elds’ histories and heritage holds the key to avoiding mistakes of the past. In contrast to, for example, initiatives such as “diversity boards”, which can be harmful because they superfi cially appear reformatory but nonetheless center whiteness and maintain the status quo. Building on the work of many women of colour, 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 artifi cial intelligence. We aspire to progress away fromthese fi elds’ stagnant, sexist, and racist shared past into an ecosystem that welcomes and nurturesdemographically diverse researchers and ideas that critically challenge the status quo.
  • Editor: The Royal Danish Library
  • Idioma: Inglês;Dinamarquês
Voltar para lista de resultados

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.