污污草莓视频

Morgan Klaus Scheuerman on How We Teach Computer Vision To See Race and Gender

This is a free, virtual event with professional live captions, open to the public. Please register for the free event on .

Talk Description:
Race and gender have long sociopolitical histories of classification in technical infrastructures-from the passport to social media. Facial analysis technologies are particularly pertinent to understanding how identity is operationalized in new technical systems. This talk will cover two studies on gender and race representations in facial analysis technology. First, I sought to understand how gender is concretely conceptualized and encoded into commercial facial analysis and image labeling technologies available today. Findings show how gender is codified as a binary into both classifiers and data standards. Second, I examined how race and gender are defined and annotated in image databases used for training and evaluating models. Though race and gender decisions are rarely justified or defined, they are discussed as apolitical, obvious, and neutral. These two studies show not only how race and gender are represented in facial analysis models, but also the value-decisions made at the data level and how inclusion and exclusion of certain identities are propagated through the model pipeline.

Morgan Klaus Scheuerman is a PhD Student of Information Science at University of Colorado Boulder. His research focuses on the intersection of technical infrastructure and marginalized identities. In particular, he examines how gender and race characteristics are embedded into algorithmic infrastructures and how those permeations influence the entire system. His recent work explores how gender and race classification in computer vision technologies excludes and endangers at-risk individuals.

This event is part of the 2nd Season of the Feminist and Accessible Publishing and Communications Technologies Speaker and Workshop Series (), organized by Dr. Alex Ketchum. This series was made possible thanks to our sponsors: SSHRC (and the Initiative for Digital Citizen Research), the Institute for Gender, Sexuality, and Feminist Studies (IGSF), Milieux, Initiative for Indigenous Futures, Algorithmic Media Observatory, MILA, Cinema Politics, 污污草莓视频鈥檚 Department of History and Classical Studies, Black Feminist Futures Working Group, the Sustainability Projects Fund, Moving Image Research Laboratory, The 污污草莓视频 Writing Centre, MUTEK IMG, the Intersectionality Research Hub, and Machine Agencies.

There is no fee required to attend this event. We will provide live professional captions. The event will be recorded and the video will be made available on our website a few days after the event.