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FIFT: Feature Importance-Guided Fairness Testing for machine learning software

Results indicate that global feature importance, used as an active search signal rather than a post-hoc diagnostic, improves both the effectiveness and the efficiency of individual fairness testing.

H. Mamman, Abdullateef Oluwagbemiga Balogun, Mustapha Maidawa et al. · 0 citations