Who’s Responsible for AI? A conversation with Julia Stoyanovich and Paul Ford

​Join Aboard for a conversation with Dr. Julia Stoyanovich, NYU professor and director of the Center for Responsible AI, about what it means to build and use AI responsibly — and who gets to decide what “responsible” means.

​Stoyanovich’s work sits at the intersection of computer science, public policy, and education. She has advised New York City on the use of automated decision-making systems, developed public AI literacy initiatives with Queens Public Library, and brought questions of AI governance and accountability to the U.S. Congress and the United Nations.

​Aboard president Paul Ford will moderate the discussion, followed by an audience Q&A. Afterward, stay for food, drinks, and conversation with the speakers and fellow attendees.

​Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and a Senior member of the Association of Computing Machinery (ACM). Julia’s goal is to make “Responsible AI” synonymous with “AI.” She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia’s research interests include AI ethics and legal compliance, and data management and AI systems. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst.