BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250710T020718EDT-5260vsDDVx@132.216.98.100 DTSTAMP:20250710T060718Z DESCRIPTION:Morgan Klaus Scheuerman on How We Teach Computer Vision To See Race and Gender\n\nThis is a free\, virtual event with professional live c aptions\, open to the public. Please register for the free event on Eventb rite.\n\nTalk Description:\n Race and gender have long sociopolitical histo ries of classification in technical infrastructures-from the passport to s ocial media. Facial analysis technologies are particularly pertinent to un derstanding 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 concrete ly conceptualized and encoded into commercial facial analysis and image la beling 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 rarel y justified or defined\, they are discussed as apolitical\, obvious\, and neutral. These two studies show not only how race and gender are represent ed in facial analysis models\, but also the value-decisions made at the da ta level and how inclusion and exclusion of certain identities are propaga ted through the model pipeline.\n\nMorgan Klaus Scheuerman is a PhD Studen t of Information Science at University of Colorado Boulder. His research f ocuses on the intersection of technical infrastructure and marginalized id entities. In particular\, he examines how gender and race characteristics are embedded into algorithmic infrastructures and how those permeations in fluence the entire system. His recent work explores how gender and race cl assification in computer vision technologies excludes and endangers at-ris k individuals.\n\nThis event is part of the 2nd Season of the Feminist and Accessible Publishing and Communications Technologies Speaker and Worksho p Series (https://www.feministandaccessiblepublishingandtechnology.com)\, organized by Dr. Alex Ketchum. This series was made possible thanks to our sponsors: SSHRC (and the Initiative for Digital Citizen Research)\, the I nstitute for Gender\, Sexuality\, and Feminist Studies (IGSF)\, Milieux\, Initiative for Indigenous Futures\, Algorithmic Media Observatory\, MILA\, Cinema Politics\, 黑料不打烊鈥檚 Department of History and Classical Studies\, Black Feminist Futures Working Group\, the Sustainability Projects Fund\, Moving Image Research Laboratory\, The 黑料不打烊 Writing Centre\, MUTEK IMG\, the Intersectionality Research Hub\, and Machine Agencies.\n\n\n There is no fee required to attend this event. We will provide live professional ca ptions. The event will be recorded and the video will be made available on our website a few days after the event.\n DTSTART:20210310T170000Z DTEND:20210310T183000Z SUMMARY:Morgan Klaus Scheuerman on How We Teach Computer Vision to See Gend er and Race URL:/igsf/channels/event/morgan-klaus-scheuerman-how-w e-teach-computer-vision-see-gender-and-race-327065 END:VEVENT END:VCALENDAR