A single-company interview study of 22 practitioners shows AI fairness testing is ad hoc, data-scientist-driven, and hampered by data quality, time pressure, and missing tools.
Software fairness debt: Building a research agenda for addressing bias in ai systems,
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Software Fairness Testing in Practice
A single-company interview study of 22 practitioners shows AI fairness testing is ad hoc, data-scientist-driven, and hampered by data quality, time pressure, and missing tools.