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From autocomplete and smart replies to video filters and deepfakes, we increasingly live in a world where communication between humans is augmented by artificial intelligence. AI often operates on…
Date
November 29th, 2022 Speaker
Mor Naaman Department
Center for Information Technology Policy Location
306 Sherrerd Hall
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With the onset of the COVID-19 pandemic in the United States, "essential workers" were recognized as performing the necessary labor to keep the country running. Millions of these workers…
Date
February 21st, 2023 Speaker
Sarah E. Fox Department
Keller Center Location
Friend 113 Convocation Room
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Beth Singler is Assistant Professor in Digital Religion(s) at the University of Zurich in the Faculty of Theology. She explores the social, ethical, philosophical, and religious implications of…
Date
November 15th, 2022 Speaker
Beth Singler, Suzanne van Geuns Department
CCSR Location
Green Hall O-S-6
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Gwen McNamara is the Assistant Director of Communications at the John H. Pace, Jr. '39 Center for Civic Engagement. Learn more about what she does in service and civic engagement and how you can…
Speaker
Gwen McNamara Department
Pace Center for Civic Engagement
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Will artificial intelligence correct or perpetuate historic
discriminatory practices in cities? Will urban heat mitigation
strategies and new ecosystem amenities be deployed fairly across all…
Date
October 4th, 2022 Speaker
Elie Bou-Zeid Department
Center for Information Technology Policy
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Negotiation is a core component of day-to-day life and international politics. But this is not a skill we associate with the everyday Artificial Intelligence of today: Siri and Alexa do not…
Date
April 27th, 2022 Speaker
Denis Peskoff Department
Computer Science, Population Research
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Research on machine learning (ML) algorithms, as well as on their
ethical impacts, has focused largely on mathematical or computational
questions. However, for algorithmic systems to be useful,…
Date
April 19th, 2022 Speaker
Amy Winecoff Department
Center for Information Technology Policy Location
Virtual
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Our research group is currently trying to shed light on what we think
is one of the most pressing dangers presaged by the increasing power
and reach of AI technologies. The conjunction of…
Date
March 29th, 2022 Speaker
Jaime Fernández Fisac Department
Center for Information Technology Policy Location
Virtual
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Sherry Tongshuang Wu - Interactive AI Model Debugging and Correction
Date
March 22nd, 2022 Speaker
Sherry Tongshuang Wu Department
Computer Science Location
CS 105
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Professor James Sturm, chair of the Department of Electrical and Computer Engineering, welcomes prospective members of the ECE community and provides a brief overview of activity across the…
Date
March 21st, 2022 Speaker
James Sturm Department
Department of Electrical and Computer Engineering
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Despite widespread awareness that AI systems may cause harm to marginalized groups—and in spite of a growing number of principles, toolkits, and other resources for fairness and ethics in…
Date
February 8th, 2022 Speaker
Michael Madaio Department
Center for Information Technology Policy Location
Virtual
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Date
November 5th, 2021 Speaker
Dimitri Kusnezov Location
Zoom
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There is broad agreement about the need for the development and application of AI to be subject to ethical guidelines and constraints. Equally, there is today little dissent from the view that the…
Date
December 7th, 2021 Speaker
Peter Singer and Yip Fai Tse Department
Center for Information Technology Policy Location
Virtual
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Dr. Marian Croak, a member of the Princeton Class of 1977 and a vice president for responsible AI and human-centered technology at Google Research, will be one of the first two Black women inducted…
Date
December 2nd, 2021 Speaker
Marian Croak, Jennifer Rexford, Claudia V. Roberts Department
Princeton Innovation
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Problems of algorithmic bias are often framed in terms of lack of
representative data or formal fairness optimization constraints to be
applied to automated decision-making systems. However,…
Date
November 9th, 2021 Speaker
Alex Hanna, Google
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Computer vision models trained on unparalleled amounts of data have
revolutionized many applications. However, more and more historical
societal biases are making their way into these seemingly…
Date
September 14th, 2021 Speaker
Olga Russakovsky Department
Princeton University, Department of Computer Science
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