AI & Society最新文献

AI and Promethean shame 人工智能和普罗米修斯的耻辱

IF 6.1

AI & Society Pub Date : 2026-09-15 DOI: 10.1007/s00146-026-03371-5

Robert Sparrow

引用次数: 0

Thinking code conversationally 对话式思考代码

IF 6.1

AI & Society Pub Date : 2026-08-05 DOI: 10.1007/s00146-026-03134-2

Claire James Carroll, Orla Delaney, David M. Berry

引用次数: 0

Bridging risk and retention: risk coping with privacy and hallucination in AI 弥合风险和留存率：AI中应对隐私和幻觉的风险

IF 6.1

AI & Society Pub Date : 2026-08-04 DOI: 10.1007/s00146-026-03127-1

Don Shin, Azmat Rasul, Khuram Shahzad

{"title":"Bridging risk and retention: risk coping with privacy and hallucination in AI","authors":"Don Shin, Azmat Rasul, Khuram Shahzad","doi":"10.1007/s00146-026-03127-1","DOIUrl":"10.1007/s00146-026-03127-1","url":null,"abstract":"<div><p>This study examines how users engage with generative AI systems in the presence of perceived technological risks, focusing on the interplay between risk perception, adaptive behavior, and continued use. Drawing on a risk coping perspective, the study conceptualizes generative AI use as an ongoing process in which users evaluate potential informational and privacy-related threats and adjust their practices accordingly. the analysis explores how perceived risks shape user attitudes, coping strategies, and patterns of sustained engagement. Rather than treating risk as a simple deterrent, the findings show that users often respond through adaptive behaviors such as information verification and privacy management, enabling continued use despite recognized limitations. By distinguishing between different forms of perceived risk and user responses, the study advances understanding of how individuals navigate uncertainty in AI-mediated environments. More broadly, the findings illuminate shifting expectations around responsibility, trust, and epistemic labor in everyday interactions with generative AI technologies, with implications for human–AI interaction, digital risk governance, and the sustainability of AI-supported knowledge practices.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8407 - 8419"},"PeriodicalIF":6.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03127-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gendered asymmetries in AI stories in English and Spanish 英语和西班牙语AI故事中的性别不对称

IF 6.1

AI & Society Pub Date : 2026-08-04 DOI: 10.1007/s00146-026-03163-x

Isabelle Wentworth

{"title":"Gendered asymmetries in AI stories in English and Spanish","authors":"Isabelle Wentworth","doi":"10.1007/s00146-026-03163-x","DOIUrl":"10.1007/s00146-026-03163-x","url":null,"abstract":"<div><p>Creative texts produced wholly or partly by large-scale generative language models are increasingly circulating within literary markets and cultural institutions. Research on AI-generated texts has largely examined bias at the level of words and images; however, small-scale statistical co-occurrences in AI-output can generate macro-scale narrative phenomena, where narrative functions intersect with stylistic texture, for example through voice, focalisation, reliability, or omission. This article argues that literary criticism, and New Formalism in particular, offers a necessary methodological framework for identifying and historicising these stylistic asymmetries. A background premise, working against the current techno-utopian ethos that improving algorithms requires more algorithms, is that close, slow reading is necessary to addressing the ethical complexities in literary form, the unsettled nature of language, and the context-specific nature of bias, harm, and oppression (Jackson and Courneya 2023, p. 62). Through a new formalist reading of English- and Spanish-language short stories generated by ChatGPT-5, I demonstrate that distributional regularities in language modelling scale upward, producing gendered and culturally normative stylistic patterns. By shifting the analysis of AI creativity from representation to form, I hope to indicate how literary methods can illuminate narrative-specific dimensions of bias in generative AI output.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8557 - 8570"},"PeriodicalIF":6.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03163-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Making sense of AI: how lay users negotiate the shifting human–machine boundaries in talking about AI 理解人工智能：外行用户在谈论人工智能时如何协调不断变化的人机边界

IF 6.1

AI & Society Pub Date : 2026-08-04 DOI: 10.1007/s00146-026-03164-w

Patricia Jimenez, Younhee Kim, Richard Fitzgerald

{"title":"Making sense of AI: how lay users negotiate the shifting human–machine boundaries in talking about AI","authors":"Patricia Jimenez, Younhee Kim, Richard Fitzgerald","doi":"10.1007/s00146-026-03164-w","DOIUrl":"10.1007/s00146-026-03164-w","url":null,"abstract":"<div><p>This paper examines how lay users make sense of artificial intelligence (AI) in everyday encounters and through practical reasoning and situated categorisation practices. Drawing on data from digital diaries and in-person group discussions, the study explores the local and situated ways lay users determine what kind of “thing” AI is, what it does, and how it should be judged. Rather than approaching AI as a fixed defined entity, the paper centres in participants procedures for meaning making. Specifically, the analysis focuses on three categorisation practices: the relational exclusion of the human-machine device, the assemblage of branched taxonomies, and the troubling of categorial boundaries. These practices reflect an ongoing negotiation of intelligibility, in which AI is explained not through formal and technically accurate definitions but through occasioned and socially recognisable use of every day categories. The paper draws on Membership Categorisation Analysis and Occasioned Semantics to show that the intelligibility of AI is both locally and culturally accomplished. In doing so, the paper reframes the notion of AI explainability as a situated achievement of human reasoning, rather than a system’s feature. An insight, we hope would have implications, if not at least a provocation, to the field of explainable AI and, more broadly, to the way we understand AI literacy, trust, and the everyday grammar of intelligence.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8571 - 8590"},"PeriodicalIF":6.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03164-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Museums: critical knowledge infrastructure in the age of AI 博物馆：人工智能时代的关键知识基础设施

IF 6.1

AI & Society Pub Date : 2026-08-03 DOI: 10.1007/s00146-026-03274-5

José-Carlos Mariátegui

引用次数: 0

The quasi-gods of algorithmic providence: recommender systems and religious frameworks 算法的准神：推荐系统和宗教框架

IF 6.1

AI & Society Pub Date : 2026-07-25 DOI: 10.1007/s00146-026-03103-9

Ljubiša Bojić, Mark Coeckelbergh, Ernest Ženko, Petar Stevanović, Damian Guzek

{"title":"The quasi-gods of algorithmic providence: recommender systems and religious frameworks","authors":"Ljubiša Bojić, Mark Coeckelbergh, Ernest Ženko, Petar Stevanović, Damian Guzek","doi":"10.1007/s00146-026-03103-9","DOIUrl":"10.1007/s00146-026-03103-9","url":null,"abstract":"<div><p>Recommender systems now mediate information exposure for over half the global population daily, shaping beliefs, values, and life decisions at unprecedented scale. Prior research has documented polarization effects, responsibility gaps in autonomous systems, and patterns of AI sacralization in public discourse. Philosophy of technology has established that such systems function as socio-technical assemblages with world-making power rather than neutral tools. Yet few works systematically compare theological doctrines of providence with algorithmic steering, and the convergence of large language models with recommenders has rarely been examined as a transformation of authority and meaning-making. This paper develops a comparative framework drawing on Christian, Jewish, Islamic, and Buddhist accounts of providence alongside AI ethics, sociology of digital religion, and philosophy of technology. This analysis reveals that recommender systems resemble providence phenomenologically through ubiquity, apparent omniscience, and guidance, but differ decisively in ontology and teleology. These systems optimize for engagement metrics rather than genuine human goods, close futures through performative predictions, and create conditions for what we term technological idolatry. Integration with large language models intensifies these dynamics through conversational persuasion and agentic capabilities. This paper proposes design and governance strategies to resist algorithmic determinism, preserve moral agency, and relocate responsibility within platform infrastructures. The argument is integrative rather than strictly empirical, and systematic field experiments tracing long-run causal effects of recommenders remain scarce. Future research should develop standardized metrics for social impact and test care-based design proposals under controlled conditions.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8247 - 8266"},"PeriodicalIF":6.1,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03103-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“Foreword” to Topical collection of AI and Society on critical code studies 人工智能与社会关于关键代码研究的专题合集“前言”

IF 6.1

AI & Society Pub Date : 2026-07-25 DOI: 10.1007/s00146-026-03208-1

N. Katherine Hayles

引用次数: 0

Toward an integrated multilevel framework for AI moral literacy: bridging individual and organizational ethical capacities 构建人工智能道德素养的综合多层框架：连接个人和组织的道德能力

IF 6.1

AI & Society Pub Date : 2026-07-06 DOI: 10.1007/s00146-026-03099-2

Jerome Cleofas

引用次数: 0

Co-designing AI systems with value-sensitive citizen science 与价值敏感的公民科学共同设计人工智能系统

IF 6.1

AI & Society Pub Date : 2026-07-02 DOI: 10.1007/s00146-026-03174-8

Sachit Mahajan, Dirk Helbing

{"title":"Co-designing AI systems with value-sensitive citizen science","authors":"Sachit Mahajan, Dirk Helbing","doi":"10.1007/s00146-026-03174-8","DOIUrl":"10.1007/s00146-026-03174-8","url":null,"abstract":"<div><p>As AI systems increasingly influence everyday life, integrating diverse community values is both ethically essential and practically urgent. This paper presents Value-Sensitive Citizen Science (VSCS)—a systematic framework that combines Value-Sensitive Design (VSD) with citizen science to support meaningful public participation in AI development. VSCS addresses gaps in the existing approaches by integrating culturally grounded methods and cognitive scaffolding through the Participatory Value-Cognition Taxonomy (PVCT). Community members engage as co-researchers through iterative cycles guided by extended scenario reasoning (What-if, If-then, Then-what, What-now), translating local values into actionable technical requirements. The framework also embeds governance mechanisms to ensure adaptability, accountability, and ongoing oversight throughout the AI lifecycle. By bridging participatory design with algorithmic accountability, VSCS challenges monocultural and top–down approaches to AI. We discuss practical implications, including power asymmetries, scalability, and epistemic justice, and propose strategies for policymakers and practitioners seeking to advance inclusive, value-driven AI design across diverse sociotechnical contexts.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7267 - 7282"},"PeriodicalIF":6.1,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03174-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0