Speakers

• Kate Crawford

  Kate Crawford is a leading researcher, academic and author who has spent the last decade studying the social implications of data systems, machine learning and artificial intelligence. She is a Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and a Visiting Professor at the MIT Media Lab. Kate is the co-founder and co- director of the AI Now Research Institute: an interdisciplinary research center dedicated to studying the social impacts of artificial intelligence. In July 2016, she co-chaired the Obama White House symposium on the impacts of AI in the near term in relation to labor, health, social inequality and ethics.

• Stephanie Dinkins

  Stephanie Dinkins is an artist interested in creating platforms for ongoing dialog about AI as it intersects race, gender, aging and our future histories. She is particularly driven to work with communities of color to develop deep-rooted AI literacy and co-create more culturally inclusive equitable artificial intelligence. She is a 2017 A Blade of Grass Fellow and a 2018 Truth Resident at Eyebeam, and her work has been exhibited – to quote her – “at a broad spectrum of public, private, and institutional venues by design”, including the Contemporary Art Museum Houston, the Studio Museum in Harlem, and the corner of Putnam and Malcolm X Boulevard in Bedford-Stuyvesant, Brooklyn.

• Rediet Abebe

  Rediet Abebe is a PhD candidate in the Department of Computer Science at Cornell University. Her research focuses on algorithms, AI, and applications to social good. She is a co-founder and co-organizer of Black in AI, a group for sharing ideas, fostering collaborations and discussing initiatives to increase the presence of Black people in the field of artificial intelligence. She is also a co-founder and co-organizer of Mechanism Design for Social Good, an interdisciplinary, multi-institutional research group working on applications of algorithms and AI to social good. Her work has been supported by fellowships and scholarships through Facebook and Google. She is also a 2013-2014 Harvard-Cambridge Fellow.

• Fernanda Viégas & Martin Wattenberg

  Fernanda Viégas & Martin Wattenberg are pioneers in data visualization and analytics. They co-lead Google’s Big Picture data visualization research group (part of Google Brain team), and have co-founded the People+AI Research Google initiative, which is devoted to advancing the research and design of people-centric AI systems. They are world-known for their groundbreaking visualizations of culturally significant data, which have been exhibited in venues such as the MoMA, the Boston Institute of Contemporary Art, and the Whitney Museum of American Art.