Article(id=1242141986048782538, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141284979257419, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2024.05.00506, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1713542400000, receivedDateStr=2024-04-20, revisedDate=1725292800000, revisedDateStr=2024-09-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1736092800000, onlineDateStr=2025-01-06, pubDate=1734019200000, pubDateStr=2024-12-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1736092800000, onlineIssueDateStr=2025-01-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079327353, creator=sys-migrate, updateTime=1774079327353, updator=sys-migrate, issue=Issue{id=1242141284979257419, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='23', pageStart='1', pageEnd='144', issueExtLink='null', onlineDate='null', pubDate='1734019200000', pubDateStr='2024-12-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079160206, creator='sys-migrate', updateTime=1774079160206, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=79, endPage=84, ext={EN=ArticleExt(id=1242141989072871573, articleId=1242141986048782538, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A preliminary analysis of the potential relevance between artificial intelligence technological catch-up and emerging risks, columnId=1242141617201685065, journalTitle=Science & Technology Review, columnName=Exclusive: Cross-domain artificial intelligence technology, runingTitle=null, highlight=null, articleAbstract=The various risks caused by the development of artificial intelligence (AI) technology are increasingly pervasive in every stage of innovation activities. It is a vital factor that we should take prospective and proactive reflection on the potential risks associated with the development of artificial intelligence technologies as we strive for advancements in this field. Based on the global development of artificial intelligence technology, technological and industrial advancement and the theoretical perspective of AI technology catch-up, this article analyzes the relationship between technological catch-up in artificial intelligence and potential risks from three dimensions: cognition risk, Scenario risk, and competition risk. This study concludes that risk perception should be embedded into the theoretical framework of AI technology catch-up, and more attention should be paid on the diversity of technology catch-up modes under the risk segmentation spectrum of different AI application scenarios. In addition, game risk in AI has been another key factor in restricting the efficiency of AI technology catch-up as the increasing negative externality caused by the dynamic and complex interaction of "technology-political-risk"., authors=LI Fang¹, WANG Jingjing¹, HUANG Ying^2,3, JIANG Lidan⁴, authorsList=LI Fang, WANG Jingjing, HUANG Ying, JIANG Lidan, authorCompany=1. Beijing Academy of Science and Technology, Beijing 100035, China;
2. School of Information Management, Wuhan University, Wuhan 430072, China;
3. Center for Science, Technology & Education Assessment (CSTEA), Wuhan University, Wuhan 430072, China;
4. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141988116570250, articleId=1242141986048782538, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=人工智能技术追赶与新兴风险的潜在关联分析, columnId=1242141615175836213, journalTitle=科技导报, columnName=专题：跨领域人工智能技术, runingTitle=null, highlight=null, articleAbstract=基于全球人工智能技术发展形势、技术与产业变革态势等现实情况以及人工智能技术追赶的理论视角，从风险认知、场景风险和博弈风险3个维度分析了人工智能技术追赶与潜在风险的关联关系，分析表明：当下人工智能技术追赶的基础性分析框架应当有机嵌入对技术风险的预警考量，并重视在不同的人工智能应用场景风险细分频谱下技术追赶模式的多样性表现。此外，随着“技术-政治-风险”的动态复杂交互，博弈风险对人工智能技术追赶的“负外部性”日益加剧，也成为制约人工智能技术追赶效率效能的关键因素。, authors=李芳¹, 王晶晶¹, 黄颖^2,3, 姜李丹⁴, authorsList=李芳, 王晶晶, 黄颖, 姜李丹, authorCompany=1. 北京市科学技术研究院, 北京 100035;
2. 武汉大学信息管理学院, 武汉 430072;
3. 武汉大学科教管理与评价中心, 武汉 430072;
4. 北京邮电大学经济管理学院, 北京 100876, correspAuthors=null, authorNote=李芳，副研究员，研究方向为科技政策、风险治理，电子信箱：lifang-buaa@outlook.com；姜李丹（通信作者），副教授，研究方向为技术创新与治理，电子信箱：dan_li0502@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=QJmqhrcK8vWbppjJYdCxoQ==, pdfFileSize=470438, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=教育部人文社会科学研究项目（18YJC630066）;北京市社会科学基金青年项目（21GLC066）;北京市科技新星计划资助（Z211100002121162）)}, authors=null, keywords=[Keyword(id=1242141987688755413, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242141986048782538, language=CN, orderNo=1, keyword=人工智能), Keyword(id=1242141987768447190, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242141986048782538, language=CN, 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