AI Image Generation Study Assignment
Pamela Jean Stemberg · CUNY Academic Works (City University of New York) · 2025
This assignment examines bias and stereotyping in AI image generation systems while teaching students the conventions of scientific genre writing through a formal lab report. Working in interdisciplinary groups, students generate image datasets using gender-neutral professional terms and analyze representations of gender, race, and age. Findings are compared with real-world labor demographics to assess discrepancies between AI outputs and existing data. Students practice core lab report conventions, including hypothesis formation, methods documentation, results presentation, and discussion, while integrating analysis and scholarly research. By combining empirical investigation with structured academic writing, the assignment strengthens students’ ability to communicate complex findings clearly within the lab report genre.