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人工智能在信息传播中的双重性质:伦理考量。

The Dual Nature of AI in Information Dissemination: Ethical Considerations.

作者信息

Germani Federico, Spitale Giovanni, Biller-Andorno Nikola

机构信息

Institute of Biomedical Ethics and History of Medicine, University of Zurich, Switzerland, Zurich, Switzerland.

出版信息

JMIR AI. 2024 Oct 15;3:e53505. doi: 10.2196/53505.

Abstract

Infodemics pose significant dangers to public health and to the societal fabric, as the spread of misinformation can have far-reaching consequences. While artificial intelligence (AI) systems have the potential to craft compelling and valuable information campaigns with positive repercussions for public health and democracy, concerns have arisen regarding the potential use of AI systems to generate convincing disinformation. The consequences of this dual nature of AI, capable of both illuminating and obscuring the information landscape, are complex and multifaceted. We contend that the rapid integration of AI into society demands a comprehensive understanding of its ethical implications and the development of strategies to harness its potential for the greater good while mitigating harm. Thus, in this paper we explore the ethical dimensions of AI's role in information dissemination and impact on public health, arguing that potential strategies to deal with AI and disinformation encompass generating regulated and transparent data sets used to train AI models, regulating content outputs, and promoting information literacy.

摘要

信息疫情对公众健康和社会结构构成重大威胁,因为错误信息的传播可能产生深远影响。虽然人工智能(AI)系统有潜力开展具有说服力且有价值的信息宣传活动,对公众健康和民主产生积极影响,但人们也对人工智能系统可能被用于制造令人信服的虚假信息表示担忧。人工智能这种既能照亮又能模糊信息领域的双重性质所带来的后果是复杂且多方面的。我们认为,人工智能迅速融入社会需要全面了解其伦理影响,并制定策略来利用其潜力实现更大的利益,同时减轻危害。因此,在本文中,我们探讨了人工智能在信息传播中的作用的伦理维度及其对公众健康的影响,认为应对人工智能和虚假信息的潜在策略包括生成用于训练人工智能模型的经过规范和透明的数据集、规范内容输出以及提高信息素养。

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