New arXiv study shows Black girls learn prompt engineering via Afrofuturist AI storytelling
Seven weekends, ages 10-12: Black girls craft Afrofuturist stories and master AI bias critique.
Researchers from multiple universities, including Chun Li, Lauren Brown, Hubert Asare, and Angela E.B. Stewart, published an arXiv paper (2608.16896) exploring how Afrofuturist storytelling with generative AI can teach computer science to young Black girls. The seven-weekend program, designed for 10-12-year-olds, was grounded in Afrofuturism and Black feminist thought—frameworks that center Black experiences and reimagine futures. Over the weekends, participants brainstormed AI-related topics, developed characters and plots, and delivered collaborative group presentations, blending creative writing with hands-on AI use.
Analysis of learner artifacts revealed that participants created Afrofuturist narratives rooted in their own identities and everyday experiences. More importantly, they built core AI literacies: prompt engineering, bias critique, and awareness of data privacy. By connecting generative AI tools to culturally relevant storytelling, the program made abstract AI concepts tangible and engaging. The authors argue this approach offers a powerful model for broadening participation in CS education, showing that informal learning spaces can effectively introduce AI literacy while affirming students' cultural backgrounds. The paper appears on arXiv as cs.CY (Computers and Society) and cs.AI.
- Seven-weekend program for Black girls aged 10-12 focused on AI storytelling and Afrofuturist narratives.
- Participants mastered prompt engineering, bias critique, and data privacy awareness through creative projects.
- Paper arXiv:2608.16896 (cs.CY) demonstrates a culturally responsive path to engaging underrepresented groups in CS education.
Why It Matters
Shows how culturally relevant AI education can inspire young Black girls to pursue computer science.