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Machine Learning and Phone Data Can Improve Targeting of Humanitarian Aid

  • Citation: Aiken, Emily, Suzanne Bellue, Dean Karlan, Chris Udry, and Joshua E. Blumenstock. “Machine Learning and Phone Data Can Improve Targeting of Humanitarian Aid.” Nature 603, no. 7903 (March 2022): 864–70.
    • Topics:
    • Movements for Inclusion
    • Keywords:
    • Phone Data
    • COVID-19
    • Humanitarian Aid
    • Togo

  • 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