Bias and Discrimination in AI: A Cross-Disciplinary Perspective

  • Citation: Ferrer, Xavier, Tom Van Nuenen, Jose M. Such, Mark Cote, and Natalia Criado. “Bias and Discrimination in AI: A Cross-Disciplinary Perspective.” IEEE Technology and Society Magazine 40, no. 2 (June 2021): 72–80.
    • Topics:
    • Movements for Inclusion
    • Science Technology and Innovation
    • Keywords:
    • Cross Disciplinary
    • Bias
    • Discrimination
    • Legal
    • Social
    • Ethical
  • 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