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The digital domain is fast emerging as a new
landscape of global competition and conflict. The benefits of
digitization have been immense, but so have the harms — rampant
disinformation,…
Date
November 29th, 2022 Speaker
Monica Greco, Anne-Marie Slaughte, Andrés Monroy-Hernández, Department
Center for Information Technology Policy Location
Arthur Lewis Auditorium, Robertson Hall, Princeton University
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Most systems have multiple objectives and constraints. For example, a company making a smartphone needs to increase the battery life, minimize the lag, and maximize the bandwidth. Solutions to these…
Date
April 27th, 2022 Speaker
Prerit Terway Department
Electrical and Computer Engineering
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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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In response to growing concerns of bias, discrimination, and
unfairness perpetuated by algorithmic systems, the datasets used to
train and evaluate machine learning models have come under increased…
Date
April 5th, 2022 Speaker
Emily Denton Department
Center for Information Technology Policy Location
Virtual
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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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Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an…
Date
February 15th, 2022 Speaker
Ryan Calo Department
Center for Information Technology Policy Location
Virtual
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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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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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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, these…
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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Panel 3: Big Data and AI in Fintech
Moderator: Hamid Biglari (former Citigroup)
Panelists: Gunnar Carlsson (Ayasdi), Andrew Choi (Predata), Mark Higgins (Beacon)
Princeton University
April 28, 2017
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