Ethics and Artificial Intelligence
Discussing bias, business, and policy with NYU's Center for Responsible AI
No Such Thing: Education in the Digital Age · Marc Lesser
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Show Notes
Artificial Intelligence (AI) offers immense promise to solve some of the world's biggest problems at scale. But advances come with significant challenges that perpetuate and amplify society's underlying structural inequities. To address this challenge directly, the NYU Center for Responsible AI (R/AI) is designed to be a comprehensive applied research and tool production laboratory for accelerating responsible AI practices that arise from real world collaborations.
Julia Stoyanovich
Co-Founder & Director of R/AI
Julia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science at NYU. She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship. Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. She established the Data, Responsibly consortium, and serveds on the New York City Automated Decision Systems Task Force (by appointment by Mayor de Blasio). In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs. She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.
