AI Research
Responsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups
Examining subgroup-aware fairness in quantum machine learning for medical classification
Quantum machine learning (QML) is increasingly explored for medical classification, yet its behaviour under subgroup-aware fairness criteria remains understudied.
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ArXiv CS.LG
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ArXiv CS.LG
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Medical AI systems can behave differently across sensitive subgroups, making fairness assessment important alongside classification performance. This research addresses an understudied question about how quantum machine learning measures up under subgroup-aware fairness criteria.
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