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Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination
[article]
2019
pre-print
Organizations cannot address demographic disparities that they cannot see. Recent research on machine learning and fairness has emphasized that awareness of sensitive attributes, such as race and sex, is critical to the development of interventions. However, on the ground, the existence of these data cannot be taken for granted. This paper uses the domains of employment, credit, and healthcare in the United States to surface conditions that have shaped the availability of sensitive attribute
doi:10.1145/3351095.3372877
arXiv:1912.06171v1
fatcat:o6plj4jkj5hb3jivd6sah7wrpy