The Biased Data panel examined how real-world biases and inequality are replicated and systematically integrated into ”neutral” algorithms and databases. Featuring panelists Safiya Noble, Marika Cifor, and An Xiao Mina. Co-moderated by Casey Reas and Johanna Hedva of the Processing Foundation.
With special thanks to Brenda Williams and Sara Lee!
Art + Feminism 2016 Wikipedia Edit-a-thon
Systemic bias in Wikipedia results from a disproportionate rate of women contributors (15%) and editors (8.5%). Notable women from history and contemporary life are underrepresented in this online platform, meaning: they are not getting the recognition they deserve. Co-organized with the UCLA Arts Library, people of all gender identities are welcomed to join us to write women back into history for the digital age.
- Critical Point of View, a Wikipedia Reader
- Art + Feminism Wikipedia Editing Resource Page
- UCLA Wikipedia Edit-a-thon Meetup Page
- UCLA Arts Library Research Guide
With special thanks to Janine Henri, Margarita Nafpaktitis, and Stacey Allan.