作者
Nicholas Diakopoulos, Sorelle Friedler, Marcelo Arenas, Solon Barocas, Michael Hay, Bill Howe, H. V. Jagadish, Kris Unsworth, Arnaud Sahuguet, Suresh Venkatasubramanian, Christo Wilson, Cong Yu, Bendert Zevenbergen
发表日期
2016
来源
Fairness, Accountability, and Transparency in Machine Learning
学术搜索中的文章
N Diakopoulos, S Friedler, M Arenas, S Barocas… - FAT/ML, 2017
ML FAT - no date.[Online]. Available: http://www. fatml. org …, 2018
N Diakopoulos, S Friedler, M Arenas, S Barocas… - FATML| Principles for Accountable Algorithms and a …, 2016
N Diakopoulos, S Friedler, M Arenas, S Barocas… - 2017
N Diakopoulos, S Friedler, M Arenas, S Barocas… - URL https://www. fatml. org/resources/principles-for …, 2019
N Diakopoulos, S Friedler, M Arenas, S Barocas…
N Diakopoulos, S Friedler, M Arenas, S Barocas… - Accountability, and Transparency in Machine Learning, 2018
N Diakopoulos, S Friedler, M Arenas, S Barocas…
N Diakopoulos, S Friedler, M Arenas, S Barocas… - Principles for accountable algorithms and a social …
N Diakopoulos, SA Friedler, M Arenas, S Barocas…
N Diakopoulos, S Friedler, M Arenas, S Barocas… - Principles for accountable algorithms and a social …
N Diakopoulos, S Friedler, M Arenas, S Barocas… - Principles for Accountable Algorithms and a Social …
A FAIRNESS, INML TRANSPARENCY
N Diakopoulos, S Friedler, M Arenas, S Barocas…
N Diakopoulos, S Friedler - Data, Responsibly