Christine Custis
Head of ABOUT ML and Fairness, Transparency, and Accountability
Head of ABOUT ML and Fairness, Transparency, and Accountability
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
PolicyLink
Joaquin Quiñonero Candela
Greg S. Corrado
Rebecca Finlay
PAI
Jason Furman
HARVARD KENNEDY SCHOOL (HKS)
Prof Thore Graepel
DeepMind
Jerremy Holland
Apple
Eric Horvitz
MICROSOFT
Ayanna Howard
The Ohio State University
Prem Natarajan
Amazon
Carol Rose
ACLU
Francesca Rossi
IBM
Eric Sears
JOHN D. AND CATHERINE T. MACARTHUR FOUNDATION
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Christine Custis
Head of ABOUT ML and Fairness, Transparency, and Accountability
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Program Lead for ABOUT ML and Fairness, Transparency, and Accountability
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