Investigating and Mitigating Biases in Crowdsourced Data
Organizer: Gabriella Kazai
All times are in EDT (UTC -4)
Organizer: Gabriella Kazai
Speaker: Mary L. Gray
Computing begins with an idea, a rough sketch of something possible. Friends in code then share something they’ve built and circulate it among those willing to give it a try. But what happens when this gesture of friendly experimentation shifts to something less generous—a power move that pushes technologies to scale through imposition? This talk will trace the history and tacit theory of power embedded in the practice of ‘dogfooding’ to argue for the need to develop an explicit analysis of power in computing. Using the case of building software with community healthcare workers, the presentation will map out an alternate route to building sociotechnical systems, outlining what anti-racist, queer feminist critiques can offer computing as a different path forward for the future of socially-accountable tech