Introducción: por qué la ciencia de datos necesita feminismo
data-feminism.mitpress.mit.edu
Introducción: por qué la ciencia de datos necesita feminismo
One of the most important things to say about the gender data gap is that it is not generally malicious, or even deliberate. Quite the opposite. It is simply the product of a way of thinking that has been around…
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Caroline Criado Perez • Invisible Women: the Sunday Times number one bestseller exposing the gender bias women face every day
This is a remarkable vision of equal opportunity domination: one that asks ordinary people, in the name of feminism, to be grateful that it is a woman, not a man, who busts their union, orders a drone to kill their parent, or locks their child in a cage at the border.
Tithi Bhattacharya • Feminism for the 99%: A Manifesto
Models All The Way Down
knowingmachines.org
Michel Foucault explored how knowledge and power are intertwined, arguing that the act of categorizing and analyzing people is a form of control. In AI and data science, every model and dataset carries implicit assumptions about what is important and who gets to decide. This challenges us to consider not just what our systems do, but whose perspect
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