Ethics and Artificial Intelligence

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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