IPHS 300: AI for Humanity
Document Type
Poster
Publication Date
Spring 2025
Abstract
This research project examines creative writing outputs from five leading large language models (Claude 3.7 Sonnet, ChatGPT 4o, Grok 3, Gemini 2.5 Flash, and Deepseek R1) as they generate and respond to prompts focused on diverse identity experiences. By analyzing stories centered on immigrant, Black, LGBTQ+, transgender, and Indigenous experiences, I identify recurring patterns, tropes, and limitations across different AI systems. This study illuminates how algorithmic storytelling currently relies on a limited repertoire of narrative elements, raising important questions about the representation of diverse human experiences in AI-generated creative content and the potential impacts of these patterns as AI writing becomes increasingly prevalent in media and educational contexts.
Recommended Citation
Brigham, Maisie Jane, "AI's Creative Boundaries: A Cross-Model Pattern Analysis of Identity-Based Narratives" (2025). IPHS 300: AI for Humanity. Paper 52.
https://digital.kenyon.edu/dh_iphs_ai/52
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.