Image + Bias

Technology is never neutral but a reflection of the biases in our society. How is bias coded into our technology? The film series Image and Bias. Filmic Explorations brings together feature films, documentaries and short films that address such questions from different perspectives and with different focus.

The panel discussion brings together experts in different fields to identify various forms of embedded bias within our networked image cultures.

The same radical technologies that helped give rise the social and political movements of 2010-12 later enabled a rise in disinformation, propaganda, and the promotion of other harms.

Hackers have a bad reputation, as shady deployers of bots and destroyers of infrastructure. Maureen Webb would like to offer another view.

In this talk, Kalindi Vora and Neda Atanasoski consider how the surrogate effect of technology within technoliberalism, as they describe it in their book, Surrogate Humanity: Race, Robots and the Politics of Technological Futures (2019), comes to bear on recent discussions around technological bias.

This talk shows how monetary media, by inscribing code on bodies, is a force of ongoing colonization under racial capitalism.

To live in data in the twenty-first century is to be incessantly extracted from, classified and categorized, statisti-fied, sold, and surveilled.

Our media environment is in crisis. Whitney Phillips and Ryan Milner offer strategies for navigating increasingly treacherous information flows.

Artists: Caitlin Foley and Misha Rabinovich

“Ecology of Worries” asks the question of whether we should teach a machine to worry for us. It is enabled by an archive of actual recorded worries we’ve been collecting from people since 2016.

Artist: Arman Paxad

The term BIPOC has found a safe haven in the media and minds of people who consider themselves concerned about the long-running presence of racial and social injustice in the Western world.

Artist: Adam Szklenar aka “Skwodam”

AI-generated pictures of non-existing people with social media targeting keywords from real people. The AI goes wrong sometimes and makes smaller or bigger mistakes – both in image generation and targeting your interests. AR with original music.

On July 2, Goethe-Institut, Gray Area, Fotomuseum Winterthur, and Artivive invited to a presentation, panel discussion, and virtual gallery launch with the finalists of the global open call Visualizing Bias with Augmented Reality.