Fairness Measures for Machine Learning in Finance
Sanjiv Das, Michele Donini, Jason Gelman, Kevin Haas, Mila Hardt, Jared Katzman, Krishnaram Kenthapadi, Pedro Larroy, Pinar Yilmaz and Muhammad Bilal Zafar
The Journal of Financial Data Science Fall 2021, 3 (4) 33-64; DOI: https://doi.org/10.3905/jfds.2021.1.075
Sanjiv Das
is a professor of finance at Santa Clara University and an Amazon scholar at Amazon Web Services in Santa Clara, CA
Michele Donini
is a senior applied scientist at Amazon Web Services in Berlin, Germany
Jason Gelman
is a principal product manager, technical, at Amazon Web Services in Santa Clara, CA
Kevin Haas
is a senior manager, software, at Amazon Web Services in Santa Clara, CA
Mila Hardt
is a senior software development engineer at Amazon Web Services in Santa Clara, CA
Jared Katzman
is a research assistant with the Computational Social Science Group at Microsoft Research in New York, NY
Krishnaram Kenthapadi
is a principal scientist at Amazon Web Services in Santa Clara, CA
Pedro Larroy
is a software development engineer at Amazon Web Services in Santa Clara, CA
Pinar Yilmaz
is a senior software development engineer at Amazon Web Services in Santa Clara, CA
Muhammad Bilal Zafar
is an applied scientist at Amazon Web Services in Berlin, Germany

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In this issue
The Journal of Financial Data Science
Vol. 3, Issue 4
Fall 2021
Fairness Measures for Machine Learning in Finance
Sanjiv Das, Michele Donini, Jason Gelman, Kevin Haas, Mila Hardt, Jared Katzman, Krishnaram Kenthapadi, Pedro Larroy, Pinar Yilmaz, Muhammad Bilal Zafar
The Journal of Financial Data Science Oct 2021, 3 (4) 33-64; DOI: 10.3905/jfds.2021.1.075