AI & Society最新文献

{"title":"Who is the muse? Prompt writing, AI poets, and the sympoietic author-function","authors":"Vipin Chauhan","doi":"10.1007/s00146-026-03147-x","DOIUrl":"10.1007/s00146-026-03147-x","url":null,"abstract":"<div><p>The author, in the conventional sense, was already fragile; but within an AI-mediated literary ecosystem, the instability of the idea of a singular author stands further decentered. What is at stake is not the “death” of the author, but the redistribution of the functions historically assigned to it. In AI-mediated writing systems, intention, coherence, responsibility, and origin no longer align. The “author” in this sense is less a subject than a site of passage between a sequence of operations, each inhabited by different forms of agency. The displacement of purpose, which is projected through the prompt, changed through probabilistic creation, and reassembled through actions of reading, selection, critique, and revision, is crucial to this reconfiguration. The prompt operates as a site of meta-authorship, relocating writing from inscription to instruction and structuring the conditions under which textuality emerges without determining it in advance. Within this iterative loop, the subject oscillates between roles of a prompter, a reader, and a critic. I propose a <i>sympoietic author-function</i>, a form of collective, relational authorship that decenters the human without complete erasure. The paper further outlines an <i>ethics of sympoietic authorship,</i> shifting the question from ownership to responsibility within distributed networks of creation, emphasizing process transparency, relational accountability, and interpretive responsibility.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8495 - 8507"},"PeriodicalIF":6.1,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"I think, therefore AI connects","authors":"Sheng-Tun Li","doi":"10.1007/s00146-026-03155-x","DOIUrl":"10.1007/s00146-026-03155-x","url":null,"abstract":"","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7549 - 7550"},"PeriodicalIF":6.1,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"More problems of large language models in comparison with human knowledge","authors":"Harry Collins,&nbsp;Simon Thorne,&nbsp;Paul Newbury,&nbsp;Robert Evans","doi":"10.1007/s00146-026-03021-w","DOIUrl":"10.1007/s00146-026-03021-w","url":null,"abstract":"<div><p>This paper builds on an earlier paper in this journal (Collins’s, 2024, ‘Why artificial intelligence needs sociology of knowledge …’). In that paper, an attempt was made to explain why LLMs had no moral compass. Here, we first explain more carefully where humans get their knowledge from and fill out the problems of LLMs by comparing them with humans. We then provide a new classification of different ways in which LLMs fail. There is one main cause, which is to do with sources of information, and there are three sub-categories. The first is to do with failures of reflexivity and has three sub-divisions; the second relates to the way LLMs interact with humans and has four sub-divisions; the third is to do with simple technical mistakes and has six sub-divisions. Each of the 13 kinds of problem is illustrated with an example of failure. We hope this new classification is exhaustive, but invite additions if it is not.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7241 - 7256"},"PeriodicalIF":6.1,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03021-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807458","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}

{"title":"Evaluation of ethical response to the use of artificial intelligence in aesthetics","authors":"Matthew S.W. Silk","doi":"10.1007/s00146-026-03158-8","DOIUrl":"10.1007/s00146-026-03158-8","url":null,"abstract":"<div><p>Public debate over generative AI has increasingly centered on the morality of AI-produced art, often framed as an issue of theft, deception, or the displacement of human creativity. This paper argues that such critiques frequently are overly broad or are based on misconceptions about how Gen-AI works. Using a pragmatic aesthetics framework, I argue that artistic expression should be understood as a form of human experience involving doing and undergoing, and that when humans employ AI systems as instruments within this experiential process, authorship and creativity remain fundamentally human. The paper also clarifies how objections grounded in copyright differ from those concerning artistic integrity or democratic access to technology. Rather than condemning AI art wholesale, a pragmatic framework invites inquiry into how generative technologies can enrich or impoverish the quality of experience and participation in art. This pragmatic orientation reframes the ethics of AI art from the search for fixed rules toward a contextual evaluation of consequences, emphasizing how creative tools, such as cameras or algorithms, reshape the possibilities of aesthetic expression and moral judgment.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8543 - 8555"},"PeriodicalIF":6.1,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What language do machines speak? LLMs and the simulated social","authors":"Yasmeen Arif","doi":"10.1007/s00146-026-03104-8","DOIUrl":"10.1007/s00146-026-03104-8","url":null,"abstract":"<div><p>Large Language Models (LLMs) form a ground of convergence between computational capacity and language in unprecedented ways—a convergence that occupies a growing literature. Using OpenAI’s Chat GPT, I explore a somewhat counter-intuitive concern—rather than following the emerging dilemmas between human language, cognition, and humanist philosophical conundrums on one hand and on the other, ‘literate’ machines, I ask what language do machines indeed speak. By tracing the computational crafting of that language, my  intention is to undergird a social imaginary in LLMs that is coherent and systemic, amenable to being called a simulated social, where simulation is not false nor farcical, but rather a technological craft of meaning making that coheres a machinic reality around a machinic language. This intent begins to address what  notion of the social begins to emerge in the ubiquitous universe of LLMs. Two perspectives so far underexplored in the emerging literature are privileged here. Recognizing language as both a social fact par excellence and as a sign system that is anchored in the social, the discussion proceeds, first, by aligning the linguistic sign with computing technique in granular detail. Second, it calibrates sign systems with meaning making by exploring how metaphoric and metonymic constructs in LLMs simulate a social. This, I expect, leads us to paying good heed to what language machines do indeed speak and what social they create.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9363 - 9377"},"PeriodicalIF":6.1,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03104-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230632","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}

{"title":"‘This is a matter of life and death for efficiency’: the implications of datafication within public services for epistemic (in)justice","authors":"Jaana Parviainen,&nbsp;Sini Teräsahde,&nbsp;Paula Alanen,&nbsp;Anne Koski,&nbsp;Juho Rantala","doi":"10.1007/s00146-026-03157-9","DOIUrl":"10.1007/s00146-026-03157-9","url":null,"abstract":"<div><p>This paper discusses institutional epistemic injustice by addressing the structural conditions in digital environments that can create unfair situations for some people. We examine implementing data-driven algorithmic systems for public services by analysing its impacts on users from the perspective of epistemic (in)justice. Epistemic injustice occurs when an individual or group is treated unfairly in their ‘capacity as a knower’. Based on thematic semi-structured interviews with experts and policymakers in Finland, we examine the collision between job seekers’ interests and the political and economic pressures influencing public service development, resulting in solutions that are not beneficial to all citizens and residents. Focusing on three digital civil rights—accessibility, transparency and inclusion—we argue that datafication in the design of online services has several negative consequences that may increase users’ epistemic vulnerability. We conclude that datafied employment self-services are not the result of a technological breakthrough or an ideal solution for job seeker needs but a compromise resulting from the political, administrative, economic, legislative and technical factors underlying the design process. This digital reform offers new administrative tools for enhancing efficiency, cutting costs, replacing human discretion with automation and increasing surveillance of citizens and public authorities.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8525 - 8542"},"PeriodicalIF":6.1,"publicationDate":"2026-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03157-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098758","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}

{"title":"Wellbeing through digital healthcare among Malaysian adults: intention and adoption of AI-based eDoctor apps","authors":"Anas Salameh,&nbsp;Naeem Hayat,&nbsp;Anis Ali,&nbsp;Abdullah Al-Mamun","doi":"10.1007/s00146-026-03150-2","DOIUrl":"10.1007/s00146-026-03150-2","url":null,"abstract":"<div><p>Growing global populations necessitate improved, technologically driven healthcare systems, and AI-based eDoctor Apps represent a practical solution. While technology is seen as vital for efficient healthcare delivery, the factors influencing the intention and actual adoption of AI-based eDoctor Apps by Malaysian adults remain underexplored. To investigate the factors influencing Malaysian adults’ intention and adoption of AI-based eDoctor Apps, specifically considering app attributes and perceptions of mass technology adoption. A cross-sectional, online survey was conducted among 1049 Malaysian adults. The collected data were analyzed using partial least squares structural equation modeling (PLS-SEM). The analysis revealed that the perception of cost and concerns over privacy significantly and negatively impacted the intention to use AI-based eDoctor Apps. Conversely, perceptions of the technology’s usefulness, accuracy, and convenience had a significant, positive influence on the intention to use. The study found that critical mass adoption and the intention to use had no significant effect on actual use of AI-based eDoctor Apps. To increase the intention to use AI-based eDoctor Apps, technology healthcare firms should focus on reducing the perceived cost and improving user perception of privacy. The study suggests that mass adoption of AI-based eDoctor Apps can lead to a more positive attitude toward healthcare technologies in general, but that factors beyond simple intention are at play in the final adoption stage.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"8047 - 8059"},"PeriodicalIF":6.1,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The feeling of knowing is not knowing","authors":"Muhammad Farrukh","doi":"10.1007/s00146-026-03156-w","DOIUrl":"10.1007/s00146-026-03156-w","url":null,"abstract":"","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7551 - 7552"},"PeriodicalIF":6.1,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conversations about conversational code: on the collaborative critical code studies reading of ELIZA","authors":"Mark C. Marino,&nbsp;Peggy Weil,&nbsp;Jeff Shrager,&nbsp;Arthur Schwarz,&nbsp;Anthony Hay,&nbsp;Sarah Ciston,&nbsp;David M. Berry,&nbsp;Peter Millican","doi":"10.1007/s00146-026-03086-7","DOIUrl":"10.1007/s00146-026-03086-7","url":null,"abstract":"<div><p>Published in 1966, Joseph Weizenbaum’s ELIZA is the first conversational agent or chatbot, most famous for its DOCTOR persona. In 2021, a group of scholars recovered the original source code for ELIZA from the MIT archives. For about four years, an expanded team of eight scholars from diverse disciplines explored this code through weekly meetings in one of the longest ongoing projects of critical code studies. This paper presents both the methodology of conversational close reading as well as the substantive findings that resulted from the sustained collaborative inquiry. Their investigation examined not only how ELIZA functions technically but also what it reveals about the cultural moment of its development and its enduring influence. The team interrogated the code by reading it line-by-line, porting it to other languages, and attempting to run it on emulators, while also consulting archival materials and conducting interviews with Weizenbaum’s contemporaries. This collaborative approach revealed significant discrepancies between Weizenbaum’s published descriptions of ELIZA and its actual implementation, including previously undocumented features and editing of canonical conversations. The project demonstrates how critical code studies can operate as a conversational method, where a team of scholars with diverse disciplinary backgrounds can use a technical analysis to open up a broader cultural and philosophical discussion. By treating source code as a cultural text rich with historical significance, this work bridges software history with code analysis and offers insights into the development of human–computer conversation that have become more increasingly relevant in today’s era of large language models. This paper selectively documents the team’s process, discoveries, and reflections, offering their collaborative model as a template for understanding both historical and contemporary computational artifacts for future projects in critical code studies.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7129 - 7142"},"PeriodicalIF":6.1,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03086-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807228","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}

{"title":"The war for reality","authors":"András Kövécs","doi":"10.1007/s00146-026-03146-y","DOIUrl":"10.1007/s00146-026-03146-y","url":null,"abstract":"","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 on","pages":"7547 - 7548"},"PeriodicalIF":6.1,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148807312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}