How Generative AI Supports Understanding of An Ethically Sensitive AI-Induced Event
Social news about an event often involves multiple parties and it is challenging to present their different or even contradictory perspectives.Often, when various parties' interests are involved, readers will only obtain one-sided or partial information, which is prone to cognitive biases and can impair judgment.The narrative as the foundation of people's understanding of the world offers a coherent system of interrelated stories (Halverson et al. 2011;Keith Norambuena et al. 2023).Its visual form allows users to intuitively find common denominators in these stories.Today, visual narratives can be automatically created using the generative Artificial Intelligence (AI).This paper presents an approach that utilizes generative AI to compose multi-perspective visual narratives from social news.It aims to help readers develop a comprehensive and deep understanding of the news event.
Authors
- Chenjing Jiao (ORCID: https://orcid.org/0000-0002-7619-5540)
- Lorenz Hurni (ORCID: https://orcid.org/0000-0002-0453-8743)
- Chenyu Zuo (ORCID: https://orcid.org/0009-0004-9484-4286)
- Liqiu Meng (ORCID: https://orcid.org/0000-0001-8787-3418)
- Mengyi Wei (ORCID: https://orcid.org/0000-0001-9143-1524)
Institutions
- ETH Zurich (CH)
- Technical University of Munich (DE)
Publication Details
- Journal
- Abstracts of the ICA
- Published
- 2024-11-11
- DOI
- https://doi.org/10.5194/ica-abs-8-26-2024
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00