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Building a Feminist Dataset: Confronting algorithmic bias through the practice of thoughtful data collection

Building a Feminist Dataset: Confronting algorithmic bias through the practice of thoughtful data collection

By Yan Cong, Kristen Zheng Project idea It is no news that algorithms can be sexist when autocompleting a sentence, performing facial recognition or displaying search results (Sheng et al. 2018; Buolamwini and Gebru 2018; Noble 2018). To confront...
By on 10/29/21 Comments Off on Building a Feminist Dataset: Confronting algorithmic bias through the practice of thoughtful data collection
Mobility for all, data for all?

Mobility for all, data for all?

Dockless bike sharing companies like to brand themselves as providing convenient, accessible and affordable mobility service to the public, but they rarely mention the importance of data collection in their business. In his book The Data Revolution, Kitchin (2014,...
By on 10/04/21 Comments Off on Mobility for all, data for all?