cs.CY · 2026-05-27 · No. 10

Computers and Society, 2026-05-27.

3 new papers in cs.CY. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    Algorithmic Monocultures in Hiring

    Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang

    cs.CY · cs.AI

    Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million applicants submitting 4 million applications where all the applications are screened by algorithms built by the same vendor. We find clear racial disparities in applicant...

    arxiv.org/abs/2605.27371 · PDF

  2. 02

    Implementation of Big Data Analytics for Diabetes Management: Needs Assessment in the Rwanda Healthcare System

    Silas Majyambere, Tony Lindgren, Workneh Y. Ayele, Celestin Twizere

    cs.CY · cs.AI · cs.LG

    Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed and managed early. Big Data Analytics (BDA) and machine learning offer practical tools for analyzing large health datasets and supporting early detection and better treatment decisions. However, their use in routine clinical practice is still limited. This study examines the readiness of Rwanda's healthcare system to adopt big data analytics for...

    arxiv.org/abs/2605.26786 · PDF

  3. 03

    Generative artificial intelligence and the marginalization of minoritized knowledges in higher education: the case of disability

    Fatiha Tali-Otmani

    cs.CY · cs.AI

    Generative artificial intelligence redefines higher education by restructuring the processes through which scientific knowledge is produced and validated. These systems are not neutral; they actively contribute to the marginalization of non-hegemonic epistemologies. This research draws upon educational sciences, critical technology studies, and disability studies to demonstrate that training datasets, which remain predominantly Anglophone and...

    arxiv.org/abs/2605.26769 · PDF

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