Distribution-aware fairness test generation
Ensuring that all classes of objects are detected with equal accuracy is essential in AI
systems. For instance, being unable to identify any one class of objects could have fatal
consequences in autonomous driving systems. Hence, ensuring the reliability of image
recognition systems is crucial. This work addresses how to validate group fairness in image
recognition software. We propose a distribution-aware fairness testing approach (called
DISTROFAIR) that systematically exposes class-level fairness violations in image classifiers …
systems. For instance, being unable to identify any one class of objects could have fatal
consequences in autonomous driving systems. Hence, ensuring the reliability of image
recognition systems is crucial. This work addresses how to validate group fairness in image
recognition software. We propose a distribution-aware fairness testing approach (called
DISTROFAIR) that systematically exposes class-level fairness violations in image classifiers …
Distribution-aware Fairness Test Generation
S Sathiesh Rajan, E Soremekun, Y Le Traon… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Ensuring that all classes of objects are detected with equal accuracy is essential in AI
systems. For instance, being unable to identify any one class of objects could have fatal
consequences in autonomous driving systems. Hence, ensuring the reliability of image
recognition systems is crucial. This work addresses how to validate group fairness in image
recognition software. We propose a distribution-aware fairness testing approach (called
DistroFair) that systematically exposes class-level fairness violations in image classifiers via …
systems. For instance, being unable to identify any one class of objects could have fatal
consequences in autonomous driving systems. Hence, ensuring the reliability of image
recognition systems is crucial. This work addresses how to validate group fairness in image
recognition software. We propose a distribution-aware fairness testing approach (called
DistroFair) that systematically exposes class-level fairness violations in image classifiers via …
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