Petra A. Nylund, Xavier Ferràs-Hernández, Alexander Brem
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We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.Keywords:: Artificial intelligenceMachine learningTacit knowledgeTrustInnovation Additional informationNotes on contributorsPetra A. NylundPetra A. Nylund is a researcher of strategy and innovation at the Institute of Entrepreneurship and Innovation Science at University of Stuttgart, Germany. She holds a PhD in management from IESE, Barcelona, and an MSc in engineering and business management from KTH, Stockholm. She has created strategies in telecom industries in Africa, Latin America, and Europe. Her recent work centers on ecosystem dynamics in the context of artificial intelligence and its standardization. She also studies the emergence of ecosystems based on other enabling technologies. petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández is an associate professor of operations management, innovation, and data sciences at ESADE Business School, Spain. He holds a PhD in business management from the University of Barcelona, an MBA from ESADE, and a telecommunications engineering degree from the Polytechnical University of Catalonia. From 2013 to 2018, he was dean of the Faculty of Business and Communication at the University of Vic. Until 2012, he was director of the Centre for Business Innovation at ACCIO (Catalan Agency for Competitiveness) and was responsible for technology transfer policies, R&D, and development of clusters in Catalonia. xavier.ferras@esade.eduAlexander BremAlexander Brem is an endowed chaired professor and institute head with the University of Stuttgart, Stuttgart, Germany. In addition, he is an honorary professor with the University of Southern Denmark, Sønderborg, Denmark. He is an international research associate at DeMontfort University (UK) and an academic committee member of the Center of Technological Innovation, Tsinghua University, Beijing, China. alexander.brem@eni.uni-stuttgart.de","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"92 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Trust Paradox May Limit the Application of Al-Generated Knowledge\",\"authors\":\"Petra A. Nylund, Xavier Ferràs-Hernández, Alexander Brem\",\"doi\":\"10.1080/08956308.2023.2236475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Overview:The extent of knowledge available to society may no longer be limited by human cognition or by refining algorithms. Instead, the interaction of the two may limit knowledge transfer and creation. We examine two behavioral paradoxes: Polanyi’s paradox, which has existed since 1966, and the Trust paradox, which we propose. We study four technology innovations—printing, digitalization, the Internet, and artificial intelligence (AI)—and assess how these paradoxes limit the use of knowledge created by each innovation. We found that while technology has largely overcome Polanyi’s paradox of limiting the transfer of tacit knowledge, the Trust paradox may limit the application of AI-generated knowledge. We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.Keywords:: Artificial intelligenceMachine learningTacit knowledgeTrustInnovation Additional informationNotes on contributorsPetra A. NylundPetra A. Nylund is a researcher of strategy and innovation at the Institute of Entrepreneurship and Innovation Science at University of Stuttgart, Germany. She holds a PhD in management from IESE, Barcelona, and an MSc in engineering and business management from KTH, Stockholm. She has created strategies in telecom industries in Africa, Latin America, and Europe. Her recent work centers on ecosystem dynamics in the context of artificial intelligence and its standardization. She also studies the emergence of ecosystems based on other enabling technologies. petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández is an associate professor of operations management, innovation, and data sciences at ESADE Business School, Spain. He holds a PhD in business management from the University of Barcelona, an MBA from ESADE, and a telecommunications engineering degree from the Polytechnical University of Catalonia. From 2013 to 2018, he was dean of the Faculty of Business and Communication at the University of Vic. Until 2012, he was director of the Centre for Business Innovation at ACCIO (Catalan Agency for Competitiveness) and was responsible for technology transfer policies, R&D, and development of clusters in Catalonia. xavier.ferras@esade.eduAlexander BremAlexander Brem is an endowed chaired professor and institute head with the University of Stuttgart, Stuttgart, Germany. In addition, he is an honorary professor with the University of Southern Denmark, Sønderborg, Denmark. 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引用次数: 0
摘要
概述:社会可获得的知识范围可能不再受人类认知或精炼算法的限制。相反,两者的相互作用可能会限制知识的转移和创造。我们研究了两种行为悖论:波兰尼悖论,自1966年以来一直存在,以及我们提出的信任悖论。我们研究了四项技术创新——印刷、数字化、互联网和人工智能(AI)——并评估了这些悖论如何限制了每项创新所创造的知识的使用。我们发现,虽然技术在很大程度上克服了波兰尼限制隐性知识转移的悖论,但信任悖论可能会限制人工智能生成知识的应用。我们确定了五个相关的驱动因素——可靠性、透明度、关联、互惠和问责制——并概述了它们如何影响人工智能的应用并为其带来挑战。关键词:人工智能机器学习隐性知识信任创新补充信息作者说明佩特拉·a·尼伦德佩特拉·a·尼伦德是德国斯图加特大学创业与创新科学研究所战略与创新研究员。她拥有巴塞罗那IESE大学的管理学博士学位,以及斯德哥尔摩KTH大学的工程和商业管理硕士学位。她在非洲、拉丁美洲和欧洲的电信行业制定了战略。她最近的工作集中在人工智能及其标准化背景下的生态系统动力学。她还研究了基于其他赋能技术的生态系统的出现。petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández,西班牙ESADE商学院运营管理、创新和数据科学副教授。他持有the University of Barcelona的工商管理博士学位、ESADE的工商管理硕士学位和the Polytechnical University of Catalonia的电信工程学位。2013年至2018年,他担任维克大学商业与传播学院院长。2012年之前,他一直担任ACCIO(加泰罗尼亚竞争力局)商业创新中心主任,负责加泰罗尼亚的技术转移政策、研发和集群发展。xavier.ferras@esade.eduAlexander亚历山大·布莱姆是德国斯图加特大学的特聘教授和研究所所长。此外,他还是丹麦南德堡大学的名誉教授。他是英国德蒙特福特大学(DeMontfort University)的国际研究员,也是中国北京清华大学技术创新中心学术委员会成员。alexander.brem@eni.uni-stuttgart.de
A Trust Paradox May Limit the Application of Al-Generated Knowledge
Overview:The extent of knowledge available to society may no longer be limited by human cognition or by refining algorithms. Instead, the interaction of the two may limit knowledge transfer and creation. We examine two behavioral paradoxes: Polanyi’s paradox, which has existed since 1966, and the Trust paradox, which we propose. We study four technology innovations—printing, digitalization, the Internet, and artificial intelligence (AI)—and assess how these paradoxes limit the use of knowledge created by each innovation. We found that while technology has largely overcome Polanyi’s paradox of limiting the transfer of tacit knowledge, the Trust paradox may limit the application of AI-generated knowledge. We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.Keywords:: Artificial intelligenceMachine learningTacit knowledgeTrustInnovation Additional informationNotes on contributorsPetra A. NylundPetra A. Nylund is a researcher of strategy and innovation at the Institute of Entrepreneurship and Innovation Science at University of Stuttgart, Germany. She holds a PhD in management from IESE, Barcelona, and an MSc in engineering and business management from KTH, Stockholm. She has created strategies in telecom industries in Africa, Latin America, and Europe. Her recent work centers on ecosystem dynamics in the context of artificial intelligence and its standardization. She also studies the emergence of ecosystems based on other enabling technologies. petra.nylund@eni.uni-stuttgart.deXavier Ferràs-HernándezXavier Ferràs-Hernández is an associate professor of operations management, innovation, and data sciences at ESADE Business School, Spain. He holds a PhD in business management from the University of Barcelona, an MBA from ESADE, and a telecommunications engineering degree from the Polytechnical University of Catalonia. From 2013 to 2018, he was dean of the Faculty of Business and Communication at the University of Vic. Until 2012, he was director of the Centre for Business Innovation at ACCIO (Catalan Agency for Competitiveness) and was responsible for technology transfer policies, R&D, and development of clusters in Catalonia. xavier.ferras@esade.eduAlexander BremAlexander Brem is an endowed chaired professor and institute head with the University of Stuttgart, Stuttgart, Germany. In addition, he is an honorary professor with the University of Southern Denmark, Sønderborg, Denmark. He is an international research associate at DeMontfort University (UK) and an academic committee member of the Center of Technological Innovation, Tsinghua University, Beijing, China. alexander.brem@eni.uni-stuttgart.de
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