@inproceedings{colbert-wang-2025-fairness,
    title = "Fairness in Formative {AI}: Cognitive Complexity in Chatbot Questions Across Research Topics",
    author = "Colbert, Alexandra Barry  and
      Wang, Karen D",
    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/ingest-emnlp/2025.aimecon-wip.12/",
    pages = "98--106",
    ISBN = "979-8-218-84229-1",
    abstract = "This study evaluates whether questions generated from a socratic-style research AI chatbot designed to support project-based AP courses maintains cognitive complexity parity when inputted with research topics of controversial and non-controversial nature. We present empirical findings indicating no significant conversational complexity differences, highlighting implications for equitable AI use in formative assessment."
}