Dr. Christine Custis is the Head of ABOUT ML and Fairness, Transparency, and Accountability at the Partnership on AI where her work focuses on ABOUT ML (Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles).  This initiative aims to bring together a diverse range of perspectives to develop, test, and implement machine learning system documentation practices at scale.

Christine is also an associate professor at Shenandoah University in the School of Business where she teaches and conducts research on how enterprises should use information systems and technology to innovate and achieve organizational goals. Her distinguished career includes over 20 years of experience with strategy, project management, and enterprise architecture. This has resulted in a plethora of technical publications and awards. She earned a B.S. in Computer Information Systems from Florida A&M, an M.S. in Computer Science from Howard University, and a Ph.D. in Business Administration from Morgan State University.

Angela Glover Blackwell

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Lauren Baldwin

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Stephanie Bell

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Jeffrey Brown

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Andrea Cross

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Christine Custis

Head of ABOUT ML and Fairness, Transparency, and Accountability

Caitlin Dally

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Rebecca Finlay

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Program Lead for ABOUT ML and Fairness, Transparency, and Accountability

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