{"title":"AI narratives model: Social perception of artificial intelligence","authors":"Elena Denia","doi":"10.1016/j.technovation.2025.103266","DOIUrl":null,"url":null,"abstract":"<div><div>Narratives surrounding Artificial Intelligence (AI) shape its societal reception, technological development, and regulatory framing. This article proposes a theoretical model to interpret these narratives, especially in the context of growing public engagement with generative AI technologies. The model is structured along three key coordinates: <em>apocalypse</em>, <em>assistance</em> and <em>transcendence</em>. Transitions between them are understood through two dominant narrative frames: the <em>Pandora's Box</em> frame (associated with loss of control), and the <em>Social Progress</em> frame (associated with the improvement of human life), each tending toward dystopian and utopian extremes, respectively. Based on this model, two questions are addressed: What types of AI stories predominate in popular culture? And do audiences actually align with them? To answer these, two empirical analyses are conducted. First, a review of the 300 highest-grossing science fiction films in North America reveals a rich variety of narratives across the entire spectrum, rather than clustering around opposing extremes. Second, focus group discussions with categorized audiences of varying levels of familiarity with AI technology show that they align progressively along the narrative spectrum: the <em>general public</em> tends toward apocalyptic framings, the <em>interested public</em> (in science and technology) focuses on assistance narratives, and the <em>engaged public</em> embraces improvement scenarios. This sequential distribution suggests a strong correlation between AI proximity and narrative positioning, with greater engagement associated with more positive —yet nuanced— views of AI. The model opens multiple avenues for future research, including the use of wider data sources, cross-cultural comparisons, longitudinal studies, tracking of narrative shifts, and focused analyses of more complex representations.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"146 ","pages":"Article 103266"},"PeriodicalIF":10.9000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technovation","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166497225000987","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Narratives surrounding Artificial Intelligence (AI) shape its societal reception, technological development, and regulatory framing. This article proposes a theoretical model to interpret these narratives, especially in the context of growing public engagement with generative AI technologies. The model is structured along three key coordinates: apocalypse, assistance and transcendence. Transitions between them are understood through two dominant narrative frames: the Pandora's Box frame (associated with loss of control), and the Social Progress frame (associated with the improvement of human life), each tending toward dystopian and utopian extremes, respectively. Based on this model, two questions are addressed: What types of AI stories predominate in popular culture? And do audiences actually align with them? To answer these, two empirical analyses are conducted. First, a review of the 300 highest-grossing science fiction films in North America reveals a rich variety of narratives across the entire spectrum, rather than clustering around opposing extremes. Second, focus group discussions with categorized audiences of varying levels of familiarity with AI technology show that they align progressively along the narrative spectrum: the general public tends toward apocalyptic framings, the interested public (in science and technology) focuses on assistance narratives, and the engaged public embraces improvement scenarios. This sequential distribution suggests a strong correlation between AI proximity and narrative positioning, with greater engagement associated with more positive —yet nuanced— views of AI. The model opens multiple avenues for future research, including the use of wider data sources, cross-cultural comparisons, longitudinal studies, tracking of narrative shifts, and focused analyses of more complex representations.
期刊介绍:
The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.