Resultados de búsqueda - "Algorithmic fairness"

  • Mostrando 1 - 3 Resultados de 3
Limitar resultados
  1. 1

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

    Publicado 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...

    Descripción completa

    Materias: Enlace del recurso
    Artículo
  2. 2

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

    Publicado 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....

    Descripción completa

    Materias: Enlace del recurso
    Artículo
  3. 3

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

    Publicado 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...

    Descripción completa

    Materias: Enlace del recurso
    Artículo