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.
This event was made possible by the generous support from the Processing Foundation, and UCLA Design Media Arts.
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
This event was made possible by the generous support from Art + Feminism and the UCLA Arts Library.
With special thanks to Janine Henri, Margarita Nafpaktitis, and Stacey Allan.