生成式人工智能的真正危险

IF 4.3 1区社会学 Q1 POLITICAL SCIENCE

Journal of Democracy Pub Date : 2024-01-01 DOI:10.1353/jod.2024.a915355

Danielle Allen, E. G. Weyl

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引用次数: 0

摘要

摘要：作为我们这个时代最具影响力的技术，生成式基础模型（GFMs）给民主体制带来了前所未有的挑战。生成式基础模型允许以以前无法想象的规模和速度进行欺骗和去语境化信息共享，可能会破坏民主的基础。与此同时，开发模型所需的投资规模以及围绕开发所产生的竞争态势，都有可能使不负民主责任的权力（包括公共权力和私人权力）得以集中。本文探讨了全球金融机制的兴起所带来的崩溃和单一性的双重威胁。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Real Dangers of Generative AI

Abstract: As perhaps the most consequential technology of our time, Generative Foundation Models (GFMs) present unprecedented challenges for democratic institutions. By allowing deception and de-contextualized information sharing at a previously unimaginable scale and pace, GFMs could undermine the foundations of democracy. At the same time, the investment scale required to develop the models and the race dynamics around that development threaten to enable concentrations of democratically unaccountable power (both public and private). This essay examines the twin threats of collapse and singularity occasioned by the rise of GFMs.

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来源期刊

Journal of Democracy POLITICAL SCIENCE-

CiteScore

6.30

自引率

6.50%

发文量

期刊介绍： Since its inception in 1990, the Journal of Democracy has become an influential international forum for scholarly analysis and competing democratic viewpoints. Its articles have been cited in The New York Times and The Wall Street Journal and widely reprinted in many languages. Focusing exclusively on democracy, the Journal monitors and analyzes democratic regimes and movements in scores of countries around the world. Each issue features a unique blend of scholarly analysis, reports from democratic activists, updates on news and elections, and reviews of important recent books.