About this episode

Dr. Julia Stoyanovich discusses the intersection of AI regulation and education, emphasizing the importance of responsible AI.

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. Links…

People in this episode

Host: Marc Lesser

Guest: Dr. Julia Stoyanovich

Topics covered

• AI regulation
• education
• responsible AI
• technology policy
• AI ethics

Keywords

• AI
• education
• regulation
• ethics
• technology policy
• data science
• public goods

Mentioned in this episode

Organizations: New York University, Association of Computing Machinery, New York City Automated Decision Systems Task Force, Columbia University, University of Massachusetts at Amherst

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