Historical Methods for AI Evaluations, Assessments, and Audits
Author:
Affiliation:
1. IBM Research, Yorktown Heights, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3715275.3732093
Reference160 articles.
1. Fay Bound Alberti. 2009. Bodies hearts and minds: Why emotions matter to historians of science and medicine. Isis 100 4 (Dec. 2009) 798–810.
2. Deconstructing FAT
3. Bobby Allyn. 2020. IBM Abandons Facial Recognition Products Condemns Racially Biased Surveillance. NPR (June 2020).
4. Sareeta Amrute. 2016. Encoding race, encoding class: Indian IT workers in Berlin. Duke University Press, Durham, NC.
5. Julia Angwin Jeff Larson Lauren Kirchner and Surya Mattu. 2016. Machine Bias. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing. Accessed: 2023-12-15.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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