Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

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Evaluating the Ethical Practices in Developing AI and Ml Systems in Tanzania by Lazaro Inon Kumbo, Victor Simon Nkwera, Rodrick Frank Mero

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FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making by Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta

Subjects: “…algorithmic fairness…”
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Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems by Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee

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Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success by Mitra Madanchian, Hamed Taherdoost, Hamed Taherdoost

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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

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Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling by Swati Tyagi, Anuj, Wei Qian, Jiaheng Xie, Rick Andrews

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Enhancing recommender systems with provider fairness through preference distribution awareness by Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó

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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data by Miroslav Nikolić, Danilo Nikolić, Miroslav Stefanović, Sara Koprivica, Darko Stefanović

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A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness by Nimisha Singh, Amita Kapoor, Neha Soni

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