Julia Stoyanovich: Can AI systems operate fairly within complex, diverse societies?

Julia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at NYU’s Tandon School of Engineering, where she is also the Director of the Center for Responsible AI. Her research focuses on responsible data management and analysis and on practical tools for operationalizing fairness, diversity, transparency, and data protection in all stages of data acquisition and processing. In addition to conducting field-leading research and teaching, Professor Stoyanovich has written several comics aimed at communicating complex AI issues to diverse audiences.

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In AI We Trust? is a podcast with Miriam Vogel of EqualAI that amplifies leaders and voices from across society who are defining, developing, and deploying AI best practices across government, industry, academia, and civil society. In each episode, Miriam sits down with guests to demystify the technology, discuss the importance of AI governance and AI literacy, and spark conversations about people’s hopes, fears, and opportunities in an AI-shaped future.