About the Journal

UMT Artificial Intelligence Review (UMT-AIR) is a double-blind peer-reviewed biannual journal that provides a wide variety of perspectives on the theory and practices of work in the realm of AI. We welcome research papers on foundational and applied work, as well as case studies. UMT-AIR also invites studies on critical analytical studies on AI applications, which present an in-depth evaluation of the AI tools and methods being employed.

Announcements

Current Issue

Vol. 6 No. 1 (2026): Spring 2026
Published: 2026-06-25

Articles

  • PRISM: A Framework for Preprocessing Impact Analysis in Machine Learning via Signature-based Modeling

    ABU BAKAR SHABBIR, Khadija Amber
    1-23
    DOI: https://doi.org/10.32350.umt-air.61.01
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