Ngā hua rapu - "Algorithmic fairness"

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  1. 1

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

    I whakaputaina 2025-07-01

    As artificial intelligence (AI) becomes integral to organizational transformation, ethical adoption has emerged as a strategic concern. This paper reviews ethical theories, governance models, and implementation strategies that enable responsible AI integration in business contexts. It explores how e...

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  2. 2

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

    I whakaputaina 2025-07-01

    Laura J Horsfall, Paulina Bondaronek, Julia Ive, Shoba Poduval Institute of Health Informatics, University College London, London, UKCorrespondence: Laura J Horsfall, Email laura.horsfall@ucl.ac.ukAbstract: Clinical algorithms are widely used tools for predicting, diagnosing, and managing diseases....

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

    I whakaputaina 2025-07-01

    Probability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored. In this study, the role of probability calibration techniques in mitigating bias associated with sensitiv...

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