人工智能之死:大型语言模型会削弱维基百科吗?

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Christian Wagner, Ling Jiang
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引用次数: 0

摘要

我们认为,大型语言模型(llm)和生成式人工智能(AI)的进步将降低维基百科的价值,因为人类内容生产者会退出,他们会放弃努力,认为不需要他们的努力,并增加“人工智能竞争”。我们认为对维基百科最大的威胁来自于这样一个事实:维基百科是一个用户生成的产品,依赖于它的人类贡献者的“自私的利他主义”。随着人工智能在平台上的普及,贡献者减少了他们的贡献努力,因此维基百科将越来越依赖于额外的人工智能活动。这一点,再加上读者创造作者身份和读者被去中介化的动态,将不可避免地导致一个恶性循环,导致内容的停滞和这种可敬的知识资源的价值下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Death by AI: Will large language models diminish Wikipedia?

Death by AI: Will large language models diminish Wikipedia?

We argue that advances in large language models (LLMs) and generative Artificial Intelligence (AI) will diminish the value of Wikipedia, due to a withdrawal by human content producers, who will withhold their efforts, perceiving less need for their efforts and increased “AI competition.” We believe the greatest threat to Wikipedia stems from the fact that Wikipedia is a user-generated product, relying on the “selfish altruism” of its human contributors. Contributors who reduce their contribution efforts as AI pervades the platform, will thus leave Wikipedia increasingly dependent on additional AI activity. This, combined with a dynamic where readership creates authorship and readers being disintermediated, will inevitably cause a vicious cycle leading to a staling of the content and diminishing value of this venerable knowledge resource.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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