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 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 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 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.

Hugo Liu, Ph.D. is the founder of Artadvisor, a tech startup building the world’s leading art valuation technology. There are hundreds of factors that influence an artist’s market, from auction results and critical reception to the reputation of an artist’s gallery. Artadvisor applies machine learning and taste-based AI to distill these hundreds of factors down into a concise and actionable snapshot of over 50,000 artists.

Mike Tyka, PhD Biophysics is a researcher of machine learning at Google and a science artist who studies the structure and dynamics of protein models. He is the co-founder of ALTSpace, a shared art studio in Seattle, where he creates sculptures of protein molecules. Since 2015 Mike has also begun working with artificial neural networks as an artistic medium and tool. He created some of the first large scale artworks using Iterative DeepDream and collaborated with Refik Anadol to create a pioneering immersive projection installation using Generative Adversarial Networks called Archive Dreaming. His latest generative portraits series “Portraits of Imaginary People” has been shown at ARS Electronica in Linz, at the New Museum in Karuizawa (Japan) and at the Seoul Museum of Art.

Ajay Revels is a strategic design researcher who loves great questions. She works at the intersection of biology, anthropology, product design and systems thinking to create products that are pleasant to use, profitable and, when possible, pro-environment. As a user experience (UX) consultant with 17 years of experience turning insights into actionable maps and mockups for new online products, services, or go-to-market plans, she has worked with design agencies like Razorfish, HUGE and Flow Interactive and corporate clients like Panasonic, CNN, Merrill Lynch, TD Ameritrade and Barclays.

Danielle Belgrave is a machine learning researcher in the Healthcare Research Group at Microsoft Research, in Cambridge (UK). Her research focuses on integrating medical domain knowledge to develop statistical machine learning models to understand disease progression and heterogeneity. She obtained a BSc in Mathematics and Statistics from London School of Economics, an MSc in Statistics from University College London and a PhD in the area of machine learning in health applications from the University of Manchester. Prior to joining Microsoft, she was a Medical Research Council Fellow at Imperial College London.

Ulrich Furbach is a retired Professor of Artificial Intelligence at the University of Koblenz and Adjunct Professor at Vellore Institute of Technology in India. He is co-owner of wizAI solutions GmbH. His research interests include knowledge management, automated reasoning, multiagent systems, and cognitive science. Ulrich obtained his Diploma and Habilitation in informatics from the Technical University of Munich and his PhD from the University of Bundeswehr. He directed the Automated Reasoning Group at the TU Munich from 1987 to 1990 and the Institute for Knowledge Media in Koblenz from 2000 to 2003. He was president of CADE Inc., he was a board member of the European Coordinating Committee for Artificial Intelligence and he was speaker of the German AI Society. He is co-founder and owner of the spin-off company wizAI (www.wizai.com), which develops knowledge management systems, information systems and solutions for digital signage.

Addie Wagenknecht is an artist whose work explores the tension between expression and technology. Seeks to blend conceptual work with forms of hacking and sculpture, her work has been shown at galleries and museums in Vienna, Paris, Istanbul, London, and Eindhoven. In 2016 she collaborated with Chanel and I-D magazine as part of their Sixth Sense series and in 2017 her work was acquired by the Whitney Museum for American Art. Her work has been featured in numerous books, and magazines, such as TIME, Wall Street Journal, Vanity Fair, Art in America, and The New York Times. She holds a Masters degree from the Interactive Telecommunications Program at New York University, and has previously held fellowships at Eyebeam Art + Technology Center in New York City, Culture Lab UK, Institute HyperWerk for Postindustrial Design Basel (CH), and The Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University.