Finally! Nicole Oster, Roger Isaac and I wrote this article last October. It took some work finding the right home for it, and we have published (or have under review) some more updated studies, but it this original manuscript is officially out!
Warr, M., Oster, N. J., & Isaac, R. (2024). Implicit bias in large language models: Experimental proof and implications for education. Journal of Research on Technology in Education, 1–24. https://doi.org/10.1080/15391523.2024.2395295
Get the full text here (before the free access ends!)
Other Publications
Updates my team has published, or have under review, are:
Warr, M. (2024). Beat bias? Personalization, bias, and generative AI. In J. Cohen & G. Solano (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1481–1488). Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/224163/
Warr, M., Pivovarova, M., Mishra, P., & Oster, N. J. (2024). Is ChatGPT racially biased? The case of evaluating student writing. In Social Science Research Network. https://papers.ssrn.com/abstract=4851112
Warr, M. (2024). Blending generative AI, critical pedagogy, and teacher education to expose and challenge automated inequality. In R. Blakenship & T. Cherner (Eds.), Research Highlights in Technology and Teacher Education. AACE.
And more in process…