View the replay of this event here.
Foundation models are drawing widespread public interest, driven by the increased visibility of applications of these technologies such as ChatGPT and DALL-E. As the adoption and impact of foundation models have accelerated, so too have ethical concerns about their potential to spread inaccurate information, violate intellectual property rights, and create data privacy risks. While foundation models will likely drive unprecedented benefits to enterprise, a multi-stakeholder approach involving perspectives from academia, industry, and civil society will be needed to identify and develop appropriate guardrails for their use.
We invite you to join the Notre Dame-IBM Technology Ethics Lab for a virtual symposium on the ethical use of foundation models, which will explore a multi-stakeholder approach to governing the deployment of these powerful technologies in enterprise contexts.
This symposium will feature keynote addresses from Arvind Karunakaran (Stanford University) and Casey Fiesler (University of Colorado Boulder) as well as panel discussions with Pin-Yu Chen (IBM Research), Alex Engler (The Brookings Institution), Triveni Gandhi (Dataiku), and Manish Goyal (IBM Consulting).
The event will be livestreamed via Zoom. It is free and open to the public, but registration is required.
*Note: Please be sure to register with the email address that is associated with your Zoom account.
Keynote Speakers
Arvind Karunakaran is an assistant professor at Stanford University in the Department of Management Science and Engineering. His research draws on organizational theory and sociology of work and occupations/professions to examine authority and accountability in the workplace, especially in the context of technological change. He received his Ph.D. from the MIT Sloan School of Management.
Casey Fiesler is an associate professor of information science at the University of Colorado Boulder. Much of her research focuses on technology ethics and policy, notably research ethics for data science, data privacy, technological harms towards marginalized groups, content moderation, and ethical speculation in research and design. She is also an expert on ethics education in computing fields and has conducted a number of research projects related to current pedagogical strategies and practices in addition to curriculum development. She holds a Ph.D. in human-centered computing from Georgia Tech and a JD from Vanderbilt Law School.
Panelists
Pin-Yu Chen is a principal research scientist at the IBM Thomas J. Watson Research Center. He is also the chief scientist of the RPI-IBM AI Research Collaboration and PI of ongoing MIT-IBM Watson AI Lab projects. His recent research focuses on adversarial machine learning and robustness of neural networks. His long-term research vision is to build trustworthy machine learning systems. Co-author of the book Adversarial Robustness for Machine Learning, he received his Ph.D. in electrical engineering and computer science from the University of Michigan.
Alex Engler is a fellow at The Brookings Institution and associate fellow at the Center for European Policy Studies, where he studies the implications of artificial intelligence on society and governance. He also teaches classes on data science and policy at Georgetown University’s McCourt School of Public Policy, where he is an adjunct professor and affiliated scholar. He earned a master of public policy at Georgetown and a master of science in predictive analytics at Northwestern University.
Triveni Gandhi is a data scientist, thought leader, and advocate for the responsible use of AI who likes to find simple solutions to complicated problems. As responsible AI lead at Dataiku, she builds and implements custom solutions to support the responsible and safe scaling of artificial intelligence. Previously, she worked as a data analyst at a large nonprofit dedicated to improving education outcomes in New York City. She has a doctorate in political science from Cornell University.
Manish Goyal is a VP and senior partner and the global leader of IBM Consulting’s Artificial Intelligence & Analytics practice. In this role, his consulting practice is responsible for bringing the best AI and analytics solutions to help enterprises transform their businesses and capture the tremendous value from the disruption AI offers. He works with clients across banking, insurance, telco & media, and government, helping them apply and scale AI in their operations. He holds an MBA from New York University’s Stern School of Business.
Moderators
Saishruthi Swaminathan is an advocate for trustworthy AI and a data scientist. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. She has spoken at over 70 events worldwide over the past three years. In 2021, the Women in AI (WAIE) team recognized her as one of the 100 brilliant women in AI Ethics 2022. She holds a master’s degree in electrical engineering, specializing in data science, from San Jose State University.
Cody Turner is a tech ethics postdoctoral fellow at Notre Dame whose current work focuses on how emerging wearable and implantable AI cognitive assistant devices—such as smartwatches, smart glasses, smart contact lenses, and neural implants—are poised to affect the mind from a metaphysical, ethical, and epistemological perspective. He received his Ph.D. in philosophy from the University of Connecticut.