CHAI added five new affiliate members: Rediet Abebe, Niko Kolodny, Nika Haghtalab, Brian Christian, and Vincent Corruble. Welcome!
Rediet Abebe is a Junior Fellow at the Harvard Society of Fellows and an incoming Assistant Professor of Computer Science at UC Berkeley. Her research is in the fields of algorithms and AI, with a focus on optimization, network science, and their applications to social justice. Abebe co-founded the Mechanism Design for Social Good and Black in AI initiatives to improve access to opportunity for underserved communities.
Niko Kolodny is Professor of Philosophy at UC Berkeley. He works in moral and political philosophy and has written on the nature of rationality and the future of humanity. Recently he designed a new undergraduate course, Moral Questions of Data Science, which explores the ethics of collecting, drawing inferences from, and acting on data, especially on a large scale.
Nika Haghtalab is an Assistant Professor of Computer Science at Cornell University. She researches the theoretical aspects of machine learning and algorithmic economics. Her work focuses on developing a theory for machine learning that accounts for its interactions with people and organizations and their diversity of social and economic behavior.
Brian Christian is the author of The Most Human Human (2011) and Algorithms to Live By (2016). His new book published in October 2020, The Alignment Problem, explores what goes wrong when we build AI systems and the movement to fix them. He is currently Journalist in Residence at the Simons Institute. Christian holds degrees in computer science, philosophy, and poetry from Brown University and the University of Washington.
Vincent Corruble is an Associate Professor at Sorbonne Université. He has contributed to research on multi-agent reinforcement learning with applications to affective computing in games, medicine, and urban simulation. Lately he has developed an interest in AI safety, specifically on how agents and humans can develop cooperation and trust over time.