| 英文摘要 |
Noam Chomsky, a pioneer in generative linguistics and an early AI researcher, holds a liberal-left worldview. This article analyzes 152 AI-related pieces published over two full years by The Economist, a self-proclaimed radical centrist publication, in the wake of ChatGPT’s release. It also examines Chomsky’s own writings and those of his commentators—both past and present—on AI, comparing the similarities and differences between the two perspectives. The author argues that there are at least five key areas of convergence: Generative linguistics remains relevant despite the rise of AI. Both humans and AI products are prone to hallucinations and blind spots. Large Language Models (LLMs), as major AI products, show clear utility in specific domains. Rather than indulging in utopian or dystopian visions of AI, both focus on pressing contemporary issues. AI exacerbates existing challenges around difficult issues such as privacy and intellectual property…...etc. However, their views diverge in two significant ways regarding whether AI can contribute to moral and social flourishing. First, Chomsky emphasizes—more than the publication does—that if AI is to be beneficial, the key lies not in the technology itself but in socialist ethics and institutions. Second, The Economist focuses on whether AI can enhance productivity, and analyzes historical responses to new technologies and the current overheated investments surrounding AI. In comparison, the article draws on Chomsky’s observations and commentaries on human and social phenomena from the past six decades to create a dialogue. Based on this, the article contends that while the Economist seems to take it for granted, Chomsky would not agree that the productivity gains of wealthy nations are something that climate change and the global environment can afford. Furthermore, he would not agree that even if AI and other technologies cause creative destruction, the human economic system will ultimately return to equilibrium. |