{"title":"AI, Land Wars in Asia, and the Classic Blunders of Foresight","authors":"Christian Crews","doi":"10.1080/08956308.2023.2208487","DOIUrl":null,"url":null,"abstract":"In The Princess Bride (Reiner 1987), the evil genius exclaims to the hero that he’s fallen victim to one of the classic blunders. “The first of which,” he continues, “is never get involved in a land war in Asia.” As the tumult of operational and publicly available artificial intelligence (AI) begins to roll over our professions, it is important to reflect on the value of human experience. While AI is incredibly powerful in speeding up the acquisition and use of knowledge, it still requires a professional to understand where and how it should be applied. Given ChatGPT’s rise in the last year, it is worth exploring the classic blunders of foresight through the lens of applying AI.","PeriodicalId":54489,"journal":{"name":"Research-Technology Management","volume":"1 1","pages":"48 - 50"},"PeriodicalIF":1.7000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research-Technology Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/08956308.2023.2208487","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 1
Abstract
In The Princess Bride (Reiner 1987), the evil genius exclaims to the hero that he’s fallen victim to one of the classic blunders. “The first of which,” he continues, “is never get involved in a land war in Asia.” As the tumult of operational and publicly available artificial intelligence (AI) begins to roll over our professions, it is important to reflect on the value of human experience. While AI is incredibly powerful in speeding up the acquisition and use of knowledge, it still requires a professional to understand where and how it should be applied. Given ChatGPT’s rise in the last year, it is worth exploring the classic blunders of foresight through the lens of applying AI.
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RTM is the leading peer-reviewed journal focused on the practice of innovation. We publish articles that map the cutting edge in R&D management, illustrate how management theory can be applied to real-world challenges, and give R&D managers the tools to promote innovation throughout their organizations. RTM publishes both quantitative and rigorous qualitative work, including case studies, descriptions of new practical models, and paradigms for understanding and fostering innovation. We are interested in a wide range of topics in innovation and technology management, including:
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