These
methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions.
Chun, who has a background in media studies and cultural theory as well as systems design engineering, will talk about her
book with Nishant Shah. The conversation will revolve around the question of how big data and machine learning encode discrimination,
create agitated clusters of comforting rage and call for alternative algorithms to foster a more democratic future.
How can we release ourselves from the vice-like grip of discriminatory data?
Chun calls for alternative algorithms,
defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.
Participants: Wendy Hui Kyong Chun, Director of the Digital Democracies Institute, Simon
Fraser University, Canada
Nishant Shah, Chair Professor Aesthetics and Cultures of Technology, ArtEZ University
of the Arts / Radboud University, The Netherlands
Moderated by Clemens Apprich, Head of the Departmentent
Media Theory, University of Applied Arts Vienna
Reception by Gerald Bast, Rector of the University of Applied
Arts
Programme: https://ail.angewandte.at/program
