Yejin Choi is Wissner-Slivka Professor and a MacArthur Fellow at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She is also a senior director at AI2 overseeing the project Mosaic and a Distinguished Research Fellow at the Institute for Ethics in AI at the University of Oxford. Her research investigates if (and how) AI systems can learn commonsense knowledge and reasoning, if machines can (and should) learn moral reasoning, and various other problems in NLP, AI, and Vision including neuro-symbolic integration, language grounding with vision and interactions, and AI for social good. She is a co-recipient of 2 Test of Time Awards (at ACL 2021 and ICCV 2021), 7 Best/Outstanding Paper Awards (at ACL 2023, NAACL 2022, ICML 2022, NeurIPS 2021, AAAI 2019, and ICCV 2013), the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016.
The importance of incorporating value pluralism into a theory of justice is recognized in many conceptualizations of justice. This pluralism is often seen as a reason to attend to a range of perspectives, perspectives which can function as a source of information in determining which principles should guide justice. However, philosophy’s ability to properly attend to different perspectives has received extensive attention in the criticisms of various non-ideal theorists, who argue that ideal-theoretical philosophy runs the risk of excluding important aspects of actual social problems. Taking these criticisms on board, this paper builds on non-ideal theory by arguing for a Wittgensteinian family resemblance approach to justice. I will explain how this linguistic practice-embedded understanding of justice can be a helpful tool for non-ideal theory, as it can give us insight into why, in various similar but different cases, the notion of justice is seen as applicable. In light of this approach, I will suggest a reorientation of the pluralist demand towards an empirical starting point.
Join us for a special live taping of the Clearer Thinking podcast. Host Spencer Greenberg and guest Jeff Sebo will discuss the moral status of insects and AI systems, as well as other thorny questions in global priorities research.
About the speakers
Jeff Sebo is Associate Professor of Environmental Studies, Affiliated Professor of Bioethics, Medical Ethics, Philosophy, and Law, Director of the Animal Studies M.A. Program, Director of the Mind, Ethics, and Policy Program, and Co-Director of the Wild Animal Welfare Program at New York University. He is the author of Saving Animals, Saving Ourselves (2022) and co-author of Chimpanzee Rights (2018) and Food, Animals, and the Environment (2018). He is also an executive committee member at the NYU Center for Environmental and Animal Protection, a board member at Minding Animals International, an advisory board member at the Insect Welfare Research Society, a senior research fellow at the Legal Priorities Project, and a mentor at Sentient Media.
Spencer Greenberg is an entrepreneur and mathematician with a focus on improving human well-being. He’s the founder of ClearerThinking.org, which provides 70 free, digital tools to help people make better decisions and improve their lives, as well as the host of the Clearer Thinking podcast. Spencer is also the founder of Spark Wave, an organization that conducts psychology research and builds psychology-related products designed to help benefit the world. He has a Ph.D. in applied math from New York University, with a specialty in machine learning, and his work has been featured by numerous major media outlets, including The Wall Street Journal, the Independent, the New York Times, Gizmodo, and more.
Thank you to Effective Altruism New York City for their generous support of this event.