AI, Land Wars in Asia, and the Classic Blunders of Foresight

IF 1.7 4区 管理学 Q3 BUSINESS
Christian Crews
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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.
人工智能,亚洲的陆地战争,以及典型的预见失误
在Reiner 1987年的《公主新娘》(The Princess Bride)中,邪恶的天才对男主角惊呼,说他犯了一个经典的错误。“首先,”他继续说道,“永远不要卷入亚洲的陆地战争。”随着可操作的和公开可用的人工智能(AI)的骚动开始席卷我们的职业,反思人类经验的价值是很重要的。虽然人工智能在加速知识的获取和使用方面非常强大,但它仍然需要专业人士来理解它应该应用在哪里以及如何应用。鉴于ChatGPT在去年的崛起,有必要从应用人工智能的角度来探讨那些典型的前瞻性错误。
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来源期刊
Research-Technology Management
Research-Technology Management 管理科学-工程:工业
CiteScore
3.90
自引率
13.60%
发文量
63
审稿时长
>12 weeks
期刊介绍: 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: • Product development processes and strategy • R&D portfolio management • R&D performance metrics • Management of technical and creative people • Strategy and innovation • Global innovation • Innovation and design, including design thinking • Innovation and organizational culture • Innovation and sustainability across the triple bottom line • New modes of innovation, including business model innovation, corporate entrepreneuring/intrapreneuring, and various forms of open innovation • Intellectual asset management • Innovations of manufacturing, including Industry 4.0 • Security, ethical, and legal challenges associated with emerging technologies and innovation nodes • Emerging trends reshaping R&D and innovation into the future
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