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Bias in Data-Driven Artificial Intelligence Systems—An Introductory Survey

  • Citation: Ntoutsi, Eirini, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, et al. “Bias in Data-Driven Artificial Intelligence Systems—An Introductory Survey.” WIREs Data Mining and Knowledge Discovery 10, no. 3 (2020): e1356.
    • Topics:
    • Movements for Inclusion
    • Science Technology and Innovation
    • Keywords:
    • Fairness
    • Fairness-Aware AI
    • Fairness-Aware Machine Learning
    • Interpretability
    • Responsible AI

  • Criminal Justice, Artificial Intelligence Systems, and Human Rights

    Završnik, Aleš. “Criminal Justice, Artificial Intelligence Systems, and Human Rights.” ERA Forum 20, no. 4 (March 1, 2020): 567–83.

    • Authors with Diverse Backgrounds
    Keywords: Criminal Justice, Human Rights, Automation, Algorithms, Artificial Intelligence, Fair Trial

  • Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software

    Yoder-Himes, Deborah R., Alina Asif, Kaelin Kinney, Tiffany J. Brandt, Rhiannon E. Cecil, Paul R. Himes, Cara Cashon, Rachel M. P. Hopp, and Edna Ross. “Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software.” Frontiers in Education 7 (September 20, 2022).

    • Authors with Diverse Backgrounds