Throughout my research on AI and bias, I’ve been developing an argument that while generative AI can be engineered to avoid explicit bias (through guardrails and human training), it continues to exhibit implicit biases that are much harder to eliminate. I’m not the only one making these arguments–AI research in several fields has highlighted how […]
Participate here! Workshop Slides
Uncovering the Hidden Curriculum in Generative AI Iâm excited to share a new publication co-authored with Dr. Marie Heath in the Journal of Teacher Education: âUncovering the Hidden Curriculum in Generative AI: A Reflective Technology Audit for Teacher Educatorsâ. The article explores how generative AI toolsâparticularly large language modelsâmay subtly reinforce societal inequities in education. […]
Time for SITE 2025 in Orlando! You can find all the resources, slides, etc. from my sessions here. Monday, March 17 Workshop: AI as a (Uniquely Useful) Cognitive Illusion Melissa Warr, Suparna Chatterjee (NMSU) Workshop Resources Tuesday, March 18 Analyzing AI-Generated Feedback Melissa Warr and Nicole Oster (ASU) This paper examines potential biases in AI-generated […]
Today I had lots of fun with middle and high school students at the New Mexico Educators Rising State Conference in Albuquerque, New Mexico. We did several activities that helped us think about how AI works–it predicts the next token based on its (biased) training data. it doesn’t “know” anything, it fills in the blanks. […]
Note: This post was written with extensive interaction with ChatGPT. You’d think I would know how to fully take advantage of writing with AI by now. But using ChatGPT’s canvas has made a major difference in how I use the tool to really refine my thinking as I write, truly being able to focus almost […]
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 […]
After a bit of a hiatus from blogging (life happens), I’m back! We each have our own way of speaking that originates from where we come from–some of these differences are more distinct and systematic than others. What does this mean for how LLMs respond to us? And to our students? A few weeks ago, […]
Note: This is a continuation of the shared blogging of Warr, Mishra, and Oster. In this post, Melissa wrote the first draft to which Punya and Nicole added substantial revisions and edits. âScienceâ is social. We build on each otherâs ideas. We critique each otherâs ideas. And thatâs how these ideas get refined; and, hopefully, […]
Note 1: We have written a follow-up post that delves deeper into the “racist” vs “biased” responses- Racist or Just Biased? It’s Complicated Note 2: The shared blogging with Punya Mishra and Nicole Oster continues. Punya crafted the student essay and I generated and analyzed the data. Punya wrote the first draft which was then edited […]