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Building music AI in Nigeria: Korin AI and the contradictions of GenAI futures 在尼日利亚建立音乐AI: Korin AI和GenAI未来的矛盾
IF 6.1
AI & Society Pub Date : 2026-08-12 DOI: 10.1007/s00146-026-03247-8
Tolúlọpẹ́ Ọ̀kẹ́, Robert Prey, Femke de Rijk
{"title":"Building music AI in Nigeria: Korin AI and the contradictions of GenAI futures","authors":"Tolúlọpẹ́ Ọ̀kẹ́,&nbsp;Robert Prey,&nbsp;Femke de Rijk","doi":"10.1007/s00146-026-03247-8","DOIUrl":"10.1007/s00146-026-03247-8","url":null,"abstract":"<div><p>Most accounts of the intersection of AI and culture begin in the Global North and, despite the intensity of current debates and a growing body of scholarship, rarely move beyond its infrastructures, policies, implications, and aesthetics to examine how AI’s futures are being negotiated elsewhere. This geopolitical imbalance obscures how creative producers in other regions encounter and reinterpret AI within distinct socio-cultural and infrastructural realities, rendering artists in the Global South as passive adopters of technologies from “elsewhere.” We address this imbalance by centering Nigeria, particularly its music industry, as a site for understanding how generative AI (GenAI) is contested and localized. More specifically, we examine Korin AI, a Nigerian-owned AI music generation platform, to analyze how AI futures in Nigerian music are imagined, negotiated, and materially organized within conditions of infrastructural scarcity, legal ambiguity, and global coloniality. Based on ethnographic fieldwork in Lagos, including interviews with musicians, producers, platform founders, and entertainment lawyers, we argue that Korin AI is best understood neither as a fully realized decolonial alternative nor simply as a case of technological dependency, but as a contradictory and compromised project of future-making. On one level, it embodies Africanfuturist and decolonial aspiration by foregrounding African musical data, languages, and genres, and by insisting that African sounds should not remain absent from AI’s musical futures. On another, it remains tethered to unequal systems of data, computation, law, and capital, reproducing new internal hierarchies even as it seeks to resist external ones. Korin AI thus reveals what it means to build music AI in Nigeria from within, rather than outside, the enduring structures of modernity/coloniality.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9269 - 9281"},"PeriodicalIF":6.1,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03247-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230691","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
Layered agency as a basis for allocating accountability for AI 分层代理作为分配人工智能责任的基础
IF 6.1
AI & Society Pub Date : 2026-08-08 DOI: 10.1007/s00146-026-03224-1
Ensieh Mahi, Magnus Strand
{"title":"Layered agency as a basis for allocating accountability for AI","authors":"Ensieh Mahi,&nbsp;Magnus Strand","doi":"10.1007/s00146-026-03224-1","DOIUrl":"10.1007/s00146-026-03224-1","url":null,"abstract":"<div><p>The increasing use of artificial intelligence-driven systems (AI) in organizations challenges the traditional concept of agency in organization theory as well as the traditional allocations of accountability. Recognizing that these issues are closely related, and drawing from several different conceptualizations of agency across disciplines, this paper develops a layered framework of agency in the context of AI. The framework distinguishes three analytically separable but interacting layers. The first layer conceptualizes agency in functional terms, focusing on the causal role. The second layer examines interpretive agency, where agency emerges through social practices and human interpretation. The third layer adopts a composite or sociotechnical aspect of agency, in which agency emerges through entanglement of sociotechnical assemblages. On this basis, the paper proceeds to discuss how a layered understanding of agency can be used to inform the allocation of accountability. Having discussed perspectives that focus exclusively on human actors or AI systems, and recognizing that any accountability analysis must be firmly rooted in the circumstances at hand, a sociotechnical approach to accountability for composite agents is outlined.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9683 - 9695"},"PeriodicalIF":6.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03224-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230781","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
Ethical AI use is contextual: focus group insights on students’ decision-making in academic work 道德人工智能的使用是有背景的:焦点小组对学生在学术工作中的决策的见解
IF 6.1
AI & Society Pub Date : 2026-08-08 DOI: 10.1007/s00146-026-03237-w
Shue Ling Chong, Vidhurya Balajee, Eun Hee Lee
{"title":"Ethical AI use is contextual: focus group insights on students’ decision-making in academic work","authors":"Shue Ling Chong,&nbsp;Vidhurya Balajee,&nbsp;Eun Hee Lee","doi":"10.1007/s00146-026-03237-w","DOIUrl":"10.1007/s00146-026-03237-w","url":null,"abstract":"<div><p>The expanding use of artificial intelligence (AI) in higher education has intensified the need for evidence-based policies that support meaningful adoption in academic settings. For AI guidelines to be effectively adopted, they must be grounded in users’ lived experiences and contextual realities, ensuring relevance to how AI is actually navigated in practice rather than imposed solely through top-down regulation. This study employed qualitative focus groups to examine how university students navigate AI use in academic work, including their ethical reasoning, perceived consequences, and preparedness for future AI integration. Five focus groups conducted at a Malaysian university were analyzed using systematic thematic analysis. Findings show that students approach AI with both optimism and caution. While AI use is widely normalized, disclosure often remains socially risky, leading many students to conceal or downplay even legitimate use. Students who prioritize critical thinking, academic integrity, and professional readiness report more restrained and deliberate engagement with AI, whereas ethical judgments vary depending on task value, disciplinary context, and perceived stakes. Overall, the findings indicate that students negotiate ethical boundaries situationally, highlighting the limitations of predominantly top-down policy approaches. The study contributes learner-informed evidence to support the development of context-responsive AI ethics education and governance frameworks that reduce ambiguity, address stigma, and align institutional guidance with students’ real-world decision-making in higher education.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9715 - 9727"},"PeriodicalIF":6.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230669","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}
引用次数: 0
Beyond optimization: structural redundancy and the governance of human potential in the age of AI 优化之外:人工智能时代的结构冗余和人类潜能治理
IF 6.1
AI & Society Pub Date : 2026-08-08 DOI: 10.1007/s00146-026-03252-x
Kohta Suzuki
{"title":"Beyond optimization: structural redundancy and the governance of human potential in the age of AI","authors":"Kohta Suzuki","doi":"10.1007/s00146-026-03252-x","DOIUrl":"10.1007/s00146-026-03252-x","url":null,"abstract":"<div><p>Debates on artificial general intelligence (AGI) often frame progress as a quantitative race toward human-level performance through scaling and optimization. This essay argues that such debates overlook a deeper asymmetry in design orientation between biological and artificial systems. Drawing on biological theory and recent discussions in AI &amp; Society on embodiment, artificial abstraction, and distributed agency, I isolate redundancy as a structural variable linking these debates. Biological intelligence preserves what I term structural redundancy (SR), defined herein as a historically accumulated repertoire of latent capacities that can be recruited, reorganized, and reinterpreted through ongoing interactions between organisms and their environments. This repertoire is generated and sustained through a form of internal causal organization that biological systems possess but objective-governed AI systems lack. By contrast, redundancy in contemporary AI remains statistically or instrumentally defined, governed by explicit objective functions and subject to optimization pressure. The difference is not one of degree but of design orientation. By engaging biologically inspired AI research programs, I argue that even architectures modeled on neural, predictive, or evolutionary motifs typically remain bounded by pre-defined evaluation criteria, thereby lacking historically accumulated openness. This reframes AGI not as a scaling problem but as a category confusion: optimization cannot generate the kind of indeterminacy that underwrites biological adaptability. Rather than pursuing replication, AI development should be oriented toward augmentation—designing sociotechnical systems that preserve human cognitive and institutional margins. Redundancy, thus, emerges not only as a biological principle but as a governance variable in datafied society.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9809 - 9821"},"PeriodicalIF":6.1,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-026-03252-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230644","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
A perspective from Nollywood: examining how GenAI is integrated in the Nigerian film industry 从奈莱坞的角度看:GenAI是如何融入尼日利亚电影业的
IF 6.1
AI & Society Pub Date : 2026-08-07 DOI: 10.1007/s00146-026-03220-5
Godwin Simon, Thomas Poell, David Nieborg, Smith Mehta, Lorena Caminhas
{"title":"A perspective from Nollywood: examining how GenAI is integrated in the Nigerian film industry","authors":"Godwin Simon,&nbsp;Thomas Poell,&nbsp;David Nieborg,&nbsp;Smith Mehta,&nbsp;Lorena Caminhas","doi":"10.1007/s00146-026-03220-5","DOIUrl":"10.1007/s00146-026-03220-5","url":null,"abstract":"<div><p>This article examines the uptake of generative artificial intelligence (GenAI) in the Nigerian film industry (Nollywood). It positions Nollywood as a key empirical and conceptual reference point for understanding how AI reshapes cultural production. Inspired by post-colonial and decolonial theory, it challenges the predominant focus in AI and cultural industries research on the Anglo-American world and Europe. Situating GenAI adoption within Nollywood’s institutional history and labour relations, the article rethinks key issues pertaining to AI and the democratisation of cultural production, the precarity of cultural labour, and the question of bias. Addressing these issues, we draw on 21 semi-structured interviews with Nigerian filmmakers, complemented by trade press and news analysis. The study identifies three interrelated dynamics. First, the integration of GenAI intensifies existing market bifurcations. Rather than democratising creativity, differences in access to subscription-based GenAI tools reinforce stratification between high-budget productions, targeting cinema and global streaming services, and low-budget productions, oriented towards domestic streaming services and YouTube. Second, the paper details how GenAI generates cultural friction in the practices of cultural production. Nigerian filmmakers encounter cultural misplacement, stereotyping, and what we call unrepresentation, due to models trained predominantly on Global North data. Yet, these frictions also prompt tactical workarounds, including hybrid workflows, model customization, and the development of localised AI infrastructures. Third, the study contributes to debates on cultural labour by showing that GenAI does not primarily replace creative practices. Instead, it substitutes specific forms of informal labour, particularly in pre-production. This reshapes labour precarity by eroding informal relational economies that have historically sustained Nollywood’s workforce.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9169 - 9183"},"PeriodicalIF":6.1,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230763","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}
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
{"title":"Thinking code conversationally","authors":"Claire James Carroll,&nbsp;Orla Delaney,&nbsp;David M. Berry","doi":"10.1007/s00146-026-03134-2","DOIUrl":"10.1007/s00146-026-03134-2","url":null,"abstract":"<div><p>We introduce our co-edited topical collection on Critical Code Studies and Code Conversations with an argument for conversation’s centrality to the discipline of critical code studies as a mode of engagement and understanding. We move towards a definition of a conversational method by highlighting moments from our own experience of code reading and from the discipline’s foundational literatures where analysis is made possible by and expressed through conversation. Following this, we develop an account of the conversation’s particular affordances for critical code studies, which come about through attention to positionality, temporality, and distance. We conclude with an overview of the articles which make up our topical collection, each of which contributes to a kaleidoscopic vision of conversational critical code studies.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 9","pages":"7873 - 7878"},"PeriodicalIF":6.1,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098339","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}
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,&nbsp;Azmat Rasul,&nbsp;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
Moral overload and ethical displacement in contemporary fiction of artificial intelligence 当代人工智能小说中的道德超载与伦理错位
IF 6.1
AI & Society Pub Date : 2026-08-04 DOI: 10.1007/s00146-026-03248-7
İsmail Karatekin
{"title":"Moral overload and ethical displacement in contemporary fiction of artificial intelligence","authors":"İsmail Karatekin","doi":"10.1007/s00146-026-03248-7","DOIUrl":"10.1007/s00146-026-03248-7","url":null,"abstract":"<div><p>The line of inquiry pursued in this study concerns how contemporary fiction of artificial intelligence exposes the ethical limits of posthuman relationality by distinguishing relational embeddedness from ethical relation. Through close readings of Kazuo Ishiguro’s <i>Klara and the Sun</i> (2021), Jeanette Winterson’s <i>Frankissstein: A Love Story</i> (2019), and Ian McEwan’s <i>Machines Like Me</i> (2019), the study aims to introduce the concept of “moral overload” to describe the asymmetrical delegation of ethically charged burdens to artificial and hybrid beings. These are the personas expected to provide care, mediation, emotional regulation, loyalty, or moral consistency without receiving reciprocal recognition. Building on relational accounts of moral status while differentiating moral overload from the responsibility gap, the article argues that responsibility in these novels does not disappear but accumulates as delegated ethical labour. The selected texts show that artificial and hybrid beings may be central to human intimacy, service, technological desire, and moral judgment while still being treated as instruments rather than alterities. When we consider the main characters of the novels, such as Klara’s artificial care, Ry Shelley’s instrumentalised hybridity, and Adam’s intolerable moral consistency, each reveals a different form of moral overload. From this point of view, the article contends that contemporary AI fiction reveals not only anxieties about artificial agency but also humanity’s desire to externalise ethical responsibility onto artificial and hybrid others.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9767 - 9779"},"PeriodicalIF":6.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230780","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}
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
Ethical and inclusive challenges of integrating AI and indigenous knowledge systems 整合人工智能和本土知识系统的伦理和包容性挑战
IF 6.1
AI & Society Pub Date : 2026-08-04 DOI: 10.1007/s00146-026-03185-5
Manotar Tampubolon
{"title":"Ethical and inclusive challenges of integrating AI and indigenous knowledge systems","authors":"Manotar Tampubolon","doi":"10.1007/s00146-026-03185-5","DOIUrl":"10.1007/s00146-026-03185-5","url":null,"abstract":"<div><p>The blend of artificial intelligence (AI) and Indigenous Knowledge Systems (IKS) creates a fresh approach to developing technology that is both ethical and inclusive. This research dives into how AI, when paired with Indigenous perspectives, can lead to more comprehensive and culturally aware solutions in tech. Traditional Indigenous knowledge, grounded in strong ethical values and a deep understanding of context, provides insights that are often missed in the AI landscape. However, the commercialization and misuse of Indigenous knowledge through AI raise serious issues, such as the risk of losing cultural heritage, ownership rights, and the reinforcement of harmful stereotypes. This study aims to explore how AI and Indigenous knowledge can come together to foster fair and ethical innovations, tackling the gaps and challenges in today’s tech practices. By utilizing secondary data sources like case studies and theoretical frameworks, the research employs a virtue ethics lens to examine the ethical aspects of this intersection. It emphasizes the necessity for AI systems that are culturally sensitive and that honor Indigenous ways of knowing, ensuring technology benefits a variety of communities. The findings indicate that when AI is developed with Indigenous insights, it can greatly improve ethical decision-making, boost inclusivity, and help eliminate harmful biases found in mainstream AI. Nonetheless, challenges remain, such as securing proper consent, preventing cultural appropriation, and avoiding exploitation. This research highlights the critical need for collaboration between Indigenous communities and AI developers, providing suggestions for building inclusive, equitable, and sustainable tech frameworks.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"41 10","pages":"9139 - 9155"},"PeriodicalIF":6.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149230630","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}
引用次数: 0
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