Why It’s Time to Retire the Term “Artificial Intelligence”
商品編號：W49112
出版日期：2026/01/23
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商品主題：Information Systems
商品類型：Article
涵蓋議題：Jonathan Hughes, artificial intelligence, AI hype, AI investments,
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內容長度：4 頁
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In a Wall Street Journal opinion piece on artificial intelligence, Katie Britt, a U.S. Senator from Alabama, and Jacob Helberg, an adviser to Palantir Technologies, implied we all could soon be rubbing shoulders with R2-D2 and C-3PO from Star Wars. While big, exaggerated statements about AI are great for drawing eyeballs, the hype they generate has real consequences. It distracts business and political leaders from more pressing issues, and it leads to costly misallocations of resources and investment. The hype around AI invariably benefits the people generating it. This ranges from the journalists grabbing eyeballs with clickbait headlines and the academics raising profiles with revolutionary predictions to the investors pumping up the value of their investments and the consultants convincing clients to pay big fees to avoid the existential threat of being left behind. Until counteracted by the lagging but relentless pressure of reality, hype is self-perpetuating by nature. As things stand, for those who expect R2-D2 and C-3PO to cross over from fiction to reality, the fear of missing out on the touted revolutionary potential of AI still vastly outweighs the fear of overinvesting in AI or focusing too much attention on AI to the detriment of other priorities. AI hype is not tulip mania. While most outlandish pronouncements about AI technology warrant skepticism, the field has made major strides in the last few years and current AI tools are undeniably powerful. Nonetheless, all the positive hype hampers making wise decisions about how much, and where, to invest in AI. Likewise, Skynet-inspired AI doom porn impedes the important and practical work of assessing real risks attendant on different AI applications and how much and how best to invest in various forms of mitigation. This article argues that by diagnosing drivers behind the hype, we can diminish its intensity and the way it is currently distorting clear thinking. Meta chief scientist Yann LeCun says it would be more accurate to refer to artificial general intelligence (AGI) as “advanced machine intelligence.” So perhaps it’s time to replace the misleading term “artificial intelligence” with a more accurate label, such as “simulated intelligence.”
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