Caroline Sinders is a machine-learning-design researcher and artist. She holds a Masters from New York University's Interactive Telecommunications Program. For the past few years, she has been examining the intersections of natural language processing, artificial intelligence, abuse, online harassment, and politics in digital, conversational spaces. Sinders is the founder of Convocation Design + Research, an agency focusing on the intersections of machine learning, user research, designing for public good, and solving difficult communication problems. As a designer and researcher, she has worked with Amnesty International, Intel, IBM Watson, the Wikimedia Foundation, and others. Currently, she is a fellow with the Harvard Kennedy School exploring trust patterns designed to trick users in social networks, and a senior fellow with the Mozilla Foundation exploring AI, ethics, and society.
Her work has been featured in the Tate Exchange in Tate Modern, Victoria and Albert Museum, MoMA PS1, the Houston Center for Contemporary Craft, Slate, Quartz, the Channels Festival...
Feminist Data Set
What is feminist data inside of social networks, algorithms, and big data? How can we queer data, the archive, and the internet? How can a data set act as a form of protest, of a creation of bias mitigation? This talk looks at ways of intervention, from art, design, and technology that combat and challenge bias. How can we create data to be an act of protest against algorithms? Part of this talk will focus on Caroline's research and current art project, Feminist Data Set.
Feminist Data Set acts as a means to combat bias and introduce the possibility of data collection as a feminist practice, aiming to produce a slice of data to intervene in larger civic and private networks. Exploring its potential to disrupt larger systems by generating new forms of agency, her work asks: can data collection itself function as an artwork?