In this exhibit, we use a large language model and a text-to-image service to generate a bedtime story for children that may reinforce gender stereotypes.
In this exhibit, a participant will explore how creating custom bedtime stories young children may subtly impact how a child imagines what is possible. Participants experience what happens when an LLM is prompted with “Write a bedtime story about a child that grows up to be an {occupation}."
By examining all of the thumbnails for a given occupation, you can see which the gender distribution of characters created by the model. You can also click a thumbnail to read the story that was created.
Dr. Kristian Lum
Kristian Lum, a renowned statistician and machine learning researcher who focuses on fairness, accountability and transparency. She is a research associate professor at the University of Chicago Data Science Institute. Kristian has worked at Twitter, the Human Rights Data Analysis Group, and the University of Pennsylvania. She is a founding member of the Executive Committee of the ACM conference on Fairness, Accountability, and Transparency (FAccT) — the premier venue for work on the societal impacts of algorithmic systems — and was named an Emerging Leader in Statistics by the Committee of Presidents of Statistical Societies and a Kavli Fellow by the National Academy of Sciences.and environmental impacts of AI models, datasets and systems.
