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Constructing AI ethics narratives based on real-world data: human-AI collaboration in data-driven visual storytelling

  • AI ethics narratives have the potential to shape the public accurate understanding of AI technologies and promote communication among different stakeholders. However, AI ethics narratives are largely lacking. Existing limited narratives tend to center on works of science fiction or corporate marketing campaigns of large technology companies. Misuse of "socio-technical imaginary" can blur the line between speculation and reality for the public, undermining the responsibility and regulation of technology development. Therefore, constructing authentic AI ethics narratives is an urgent task. The emergence of generative AI offers new possibilities for building narrative systems. This study is dedicated to data-driven visual storytelling about AI ethics relying on the human-AI collaboration. Based on the five key elements of story models, we proposed a conceptual framework for human-AI collaboration, explored the roles of generative AI and humans in the creation of visual stories. WeAI ethics narratives have the potential to shape the public accurate understanding of AI technologies and promote communication among different stakeholders. However, AI ethics narratives are largely lacking. Existing limited narratives tend to center on works of science fiction or corporate marketing campaigns of large technology companies. Misuse of "socio-technical imaginary" can blur the line between speculation and reality for the public, undermining the responsibility and regulation of technology development. Therefore, constructing authentic AI ethics narratives is an urgent task. The emergence of generative AI offers new possibilities for building narrative systems. This study is dedicated to data-driven visual storytelling about AI ethics relying on the human-AI collaboration. Based on the five key elements of story models, we proposed a conceptual framework for human-AI collaboration, explored the roles of generative AI and humans in the creation of visual stories. We implemented the conceptual framework in a real AI news case. This research leveraged advanced generative AI technologies to provide a reference for constructing genuine AI ethics narratives. Our goal is to promote active public engagement and discussions through authentic AI ethics narratives, thereby contributing to the development of better AI policies.show moreshow less

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Metadaten
Author:Mengyi Wei, Chenjing Jiao, Chenyu ZuoORCiDGND, Lorenz Hurni, Liqiu Meng
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126906
Parent Title (English):arXiv
Publisher:arXiv
Type:Preprint
Language:English
Date of Publication (online):2025/12/09
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/12/11
First Page:arXiv:2502.00637
DOI:https://doi.org/10.48550/arXiv.2502.00637
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Geoinformatik
Latest Publications (not yet published in print):Aktuelle Publikationen (noch nicht gedruckt erschienen)