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Through intensive research on datasets, benchmarks, and models, the computer-vision community has taken great strides to identify the societal biases intrinsic in these technologies. Less is known about the last mile of the computer-vision machine-learning pipeline: on-the-ground integration into the real world. This talk will…

Tuesday, September 21, 2021 12:00 – 1:15 PM, 005 Robertson Hall – Register here: https://doodle.com/meeting/participate/id/QbY64vpd

From Crisis to Transformation in Our Lives, Work, and Politics

Attracting and retaining high-quality teachers has a large social benefit, but it is challenging for schools to identify good teachers ex-ante. This paper uses teachers’ contract choices and a randomized controlled trial of performance pay with 7,000 teachers in 243 private schools in Pakistan to study whether performance pay…

Micah S. Ziegler is a postdoctoral associate in the Institute for Data, Systems, and Society at the Massachusetts Institute of Technology (MIT). He integrates data-based modeling, chemistry, and a policy-focus to evaluate sustainable energy and chemical technologies and systems. His work informs scientific research, engineering…

Moderator João Biehl is Susan Dod Brown Professor of Anthropology and Princeton School of Public and International Affairs Faculty Associate at Princeton University, where he is the Co-Director of the Global Health Program and the Director of the Brazil LAB.

Corrine McConnaughy, Research Scholar and Lecturer, Princeton University Race, Gender, and the Legitimation of State Response to Protest

2021 Princeton University Constitution Day Lecture What Kind of Republic? A Discussion on Democracy and the Constitution Today Panelists: Ruha Benjamin, Professor of African American Studies; Director, Ida B. Wells Just Data Lab

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 innocuous systems. Attention is focused on two types of biases: (1) bias in the form of inappropriate correlations between protected…

The in-person audience is limited to the Princeton University faculty, staff and students, with TigerCard access. Registration is required for in-person attendees. The event will also be livestreamed via Zoom webinar and is open to the public. Zoom Registration is required.