Invited talk by Lilly Irani
Lilly Irani
Abstract
Deepening Worker Power Over AI: Lessons from Popular Education and Organizing
I will discuss pathways for building research that can support collective action to shape algorithms, data, and AI. I draw on over a decade of experience supporting Amazon Mechanical Turk workers, taxi and rideshare drivers, surveilled communities, and union workers across various industries. I suggest four principles: relationality, response-ability, accountability, and generosity to guide researchers in finding their path to supporting algorithmic collective action.
Speaker
Lilly Irani
Lilly Irani is an Associate Professor of Communication & Science Studies at University of California, San Diego. In 2020-2021, she is a Visiting Scholar at AI Now (NYU). She also serves as faculty in the Design Lab, Institute for Practical Ethics, and the program in Critical Gender Studies.. She is author of Chasing Innovation: Making Entrepreneurial Citizens in Modern India (Princeton University Press, 2019). Chasing Innovation has been awarded the 2020 International Communication Association Outstanding Book Award and the 2019 Diana Forsythe Prize for feminist anthropological research on work, science, or technology, including biomedicine. Her research examines the cultural politics of high-tech work and the counter-practices they generate, as both an ethnographer, a designer, and a former technology worker. She is a co-founder and maintainer of digital labor activism tool Turkopticon. Her work has appeared at ACM SIGCHI, New Media & Society, Science, Technology & Human Values, South Atlantic Quarterly, and other venues. She sits on the Editorial Committee of Public Culture and on the Editorial Advisory Boards of New Technology, Work, and Employment and Design and Culture. She has a Ph.D. in Informatics from University of California, Irvine.
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