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Bias detectives: the researchers striving to make algorithms fair
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Nature 558, 357-360 (2018)
doi: https://doi.org/10.1038/d41586-018-05469-3
References
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Chouldechova, A., Putnam-Hornstein, E., Benavides-Prado, D., Fialko, O. & Vaithianathan, R. Proc. Machine Learn. Res. 81, 134–148 (2018).
Reisman, D., Schultz, J., Crawford, K. & Whittaker, M. Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability (AI Now, 2018).
Wachter, S., Mittelstadt, B. & Floridi, L. Sci. Robotics 2, eaan6080 (2017).