Sarah Newman is a Senior Researcher and Principal at metaLAB at Harvard, and a Fellow at the Berkman Klein Center for Internet & Society. As a researcher expressing ideas through installation art, her work engages with technology’s role in society and human experience. Newman is a is a 2017 AI Grant Fellow, a member of the 2018 Assembly Cohort, and Co-founder of the Data Nutrition Project, which builds tools to mitigate bias in AI systems.
Abeba Birhane is a PhD Candidate at the School of Computer Science, University College Dublin. Her interdisciplinary research, which intersects between embodied cognition, digital technology studies, and critical data science, explores the dynamic and reciprocal relationships between individuals, society and digital technologies.
Assistant Professor, Department of History and Sociology, University of British Columbia | Okanagan Campus
Mike Zajko is a sociologist who studies governance and social theory, specializing in internet policy and the deployment of AI in Canada’s public sector. He also teaches criminology and surveillance studies at UBC Okanagan, and is interested in exploring how ideas about AI ethics and fairness can be advanced through interdisciplinarity.
Osonde Osoba (pronounced “oh-shOwn-day aw-shAw-bah”) is an information scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. He has a background in the design and optimization of machine learning algorithms. He has applied his machine learning expertise to diverse policy areas such as health, defense, and technology policy. His more recent focus has been on data privacy and fairness in artificial intelligence and algorithmic systems more generally. Osoba also serves as a co-director for RAND's center for Scalable Computing and Analysis (SCAN).
Carina is a Senior Research Scholar at the University of Oxford’s Future of Humanity Institute and is affiliated with the Center for the Governance of AI and Harvard University’s Black Hole Initiative. Her current research focuses on the Philosophy and Ethics of AI. She holds a B.Sc in M.Sc in Physics from Freie Universität Berlin, a M.St in Philosphy of Physics with distinction, and a D.Phil in Philosophy from the University of Oxford.
Gabriel Lima is a computer science undergraduate student at KAIST in South Korea. He has previously worked on detecting emotion from speech using deep learning. His current research aims to develop methods to better understand people's perception of artificial intelligence (AI) and how AI will morally, ethically, and legally affect our society.
Jonathan Bowen is a philosophy PhD student at the University of Western Ontario and the Rotman Institute of Philosophy. His interests include the ethics of person-building projects in artificial intelligence (including such questions as, "are there good reasons to do so?"), and developing an ecological theory of goal-directed behaviour, communication, and language.
Richard S. Sutton is a distinguished research scientist at DeepMind in Edmonton and a professor in the Department of Computing Science at the University of Alberta. Prior to joining DeepMind in 2017 and the University of Alberta in 2003, he worked in industry at AT&T and GTE Labs, and in academia at the University of Massachusetts. He received a PhD in computer science from the University of Massachusetts in 1984 and a BA in psychology from Stanford University in 1978. He is co-author of the textbook "Reinforcement Learning: An Introduction" from MIT Press. He is also a fellow of the Royal Society of Canada, the Association for the Advancement of Artificial Intelligence, the Alberta Machine Intelligence Institute, and CIFAR. His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to intelligence. He has additional interests in animal learning psychology, in connectionist networks, and generally in systems that continually improve their representations and models of the world. His scientific publications have been cited more than 70,000 times. He is also a libertarian, a chess player, and a cancer survivor.
Cathy Adams is a professor in the Department of Secondary Education and a Vargo Teaching Chair at the University of Alberta, Canada. Her post/phenomenological research investigates the differences digital technologies are making to teaching, learning and knowledge construction. She teaches graduate and undergraduate courses on the pedagogy of technology, computational thinking, and phenomenological research and writing.
Work in Progress