Please join us for the Data Institute's launch of the new Center for Applied Data Ethics (CADE) & the inaugural Data Ethics Seminar with Deborah Raji. When its not enough to properly evaluate & report the bias detected a commercial AI systems, what else is involved in demanding a change in corporate behavior & minimizing the actual harm done to the most vulnerable populations? By exploring the case of the Gender Shades study, which has had a tangible impact on facial recognition policy & corporate performance, we explore the strategies involved in executing an "actionable audit" & the limitations of even the most effective techniques in actualizing the aspiration of algorithmic justice.
6:30-6:45pm: Welcome from David Uminsky, Executive Director Data Institute & introduction to the Center of Applied Data Ethics, Rachel Thomas, Director of Center of Applied Data Ethics
6:45pm: Deborah Raji: Actionable Auditing & Algorithmic Justice
Bio: Deborah Raji is a research fellow at the Partnership on AI, & an incoming tech fellow at the AI Now Institute at New York University.
Deborah is a graduate of the Engineering Science program at the University of Toronto, majoring in Robotics Engineering. She spent her Professional Experience Year (PEY) as a Machine Learning Engineering intern at Clarifai, a leading computer vision startup. As a student, her enthusiasm for coding also led her to found the student initiative, Project Include, which aims to provide summer coding bootcamps for hundreds of middle school students in low income communities in the Greater Toronto Area & Ecuador.