Deborah Raji is tech fellow at the AI Now Institute at New York University.
She has worked closely with the Algorithmic Justice League initiative, founded by Joy Buolamwini of the MIT Media Lab, on several projects to highlight cases of bias in computer vision. Her first-author work with Joy has been featured in the New York Times, Washington Post, The Verge, Venture Beats, National Post, EnGadget, Toronto Star and won the Best Student Paper Award at the ACM/AAAI Conference for AI Ethics & Society. She was a mentee in Google AI’s flagship research mentorship cohort, working with their Ethical AI team on various projects to operationalize ethical considerations in ML practice, including the Model Cards documentation project. She was also recently a research fellow at the Partnership on AI, working on formalizing documentation practice in Machine Learning through their ABOUT ML initiative, as well as pushing forward benchmarking and model evaluation norms.
Deborah is a graduate of the Engineering Science program at the University of Toronto, where she majored 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 and Ecuador.