Generative AI in Documentary Photography: Exploring Opportunities and Challenges for Visual Storytelling

要旨

Generative AI is increasingly used to create images from text, but its role in documentary photography remains under-explored. This paper investigates how generative AI can be integrated into documentary practice while maintaining ethical standards. Through interviews with six documentary photographers, we explored their views on AI’s potential to support community-driven storytelling. While AI presents opportunities for creative expression and community involvement, concerns about trust, authenticity, and decontextualization of images persist. Photographers expressed doubts about AI’s ability to accurately represent lived experiences, fearing it could compromise narrative integrity. Our findings suggest that AI tools should be designed to enhance collaboration and transparency in storytelling, complementing rather than replacing traditional documentary methods. This study contributes to the ongoing discourse on AI in photography, advocating for the development of tools that preserve the ethical foundations of documentary storytelling while empowering communities.

著者
Lenny Martinez
Sorbonne Université, Paris, France
Baptiste Caramiaux
Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique, ISIR, Paris, France
Sarah Fdili Alaoui
University of the Arts London, London, United Kingdom
DOI

10.1145/3706598.3714200

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714200

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Digital Storytelling

G304
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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