Deborah Raji is a research fellow at the Partnership on AI working on ABOUT ML and other projects to operationalize high-level ethical values into tangible engineering guidelines, tools, and audits. She will be co-leading revisions and writing the first draft of PAI’s initial effort in defining ML system documentation best practices for increased transparency (ABOUT ML) as well as working to establish benchmarking norms that incorporate ethical considerations.

She works closely with Joy Buolamwini of the MIT Media Lab on several projects to highlight cases of bias in computer vision, supporting the Algorithmic Justice League initiative. 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 is also now 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.

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 and Ecuador.