@inproceedings{belzak-etal-2025-machines,
    title = "When Machines Mislead: Human Review of Erroneous {AI} Cheating Signals",
    author = "Belzak, William  and
      Niu, Chenhao  and
      Ortmann Lee, Angel",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.aimecon-wip.11/",
    pages = "90--97",
    ISBN = "979-8-218-84229-1",
    abstract = "This study examines how human proctors interpret AI-generated alerts for misconduct in remote assessments. Findings suggest proctors can identify false positives, though confirmation bias and differences across test-taker nationalities were observed. Results highlight opportunities to refine proctoring guidelines and strengthen fairness in human oversight of automated signals in high-stakes testing."
}