Combating disinformation with AI: Epistemic and ethical challenges

Benjamin Lange, T. Lechterman
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引用次数: 2

Abstract

AI-supported methods for identifying and combating disinformation are progressing in their development and application. However, these methods face a litany of epistemic and ethical challenges. These include (1) robustly defining disinformation, (2) reliably classifying data according to this definition, and (3) navigating ethical risks in the deployment of countermeasures, which involve a mixture of harms and benefits. This paper seeks to expose and offer preliminary analysis of these challenges.
用人工智能打击虚假信息:认知和伦理挑战
人工智能支持的识别和打击虚假信息的方法正在发展和应用中取得进展。然而,这些方法面临着一连串的认知和伦理挑战。这些包括(1)稳健地定义虚假信息,(2)根据这一定义可靠地对数据进行分类,以及(3)在部署对策时规避道德风险,其中涉及危害和利益的混合。本文试图揭示并初步分析这些挑战。
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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