No Such Thing: Education in the Digital Age

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Ethics and Artificial Intelligence

Ep. 90

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.

Steven Kuyan

Co-Founder & Director of R/AI

Managing Director, at  Future Labs

Steven Kuyan is the director of entrepreneurship at NYU Tandon School of Engineering, co-founder/managing director of the NYU Tandon Future Labs, and co-founder/director of the NYU Center for Responsible AI. The Future Labs support entrepreneurs in technology-specific fields, such as: artificial intelligence, machine learning, augmented/virtual reality, video and virtual machines and has graduated more than 145 companies – 31 as acquisitions totaling more than $600 million – for a combined portfolio valuation of graduates exceeding $2B billion. The NYU Center for Responsible AI is a first of its kind lab designed to be a comprehensive applied research and tool production laboratory for accelerating responsible AI practices that arise from real world collaborations. Steve also oversees entrepreneurship across the campus, including programs commercializing university IP into companies, which includes dozens of success stories that have raised over $100M in venture funding, university wide curricula development, and IP collaborations amongst NYU schools.


Resources from this episode:

Center for Responsible AI at NYU

Data Responsibly, Comics: "Mirror, Mirror"

Is AI Effective If It Isn't Equitable and Responsible? from Chronicle of Higher Education

NYU Future Labs



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