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减轻被操纵媒体的危害:应对深度伪造和数字欺骗。

Mitigating the harms of manipulated media: Confronting deepfakes and digital deception.

作者信息

Farid Hany

机构信息

School of Information, University of California, Berkeley, South Hall, Berkeley, CA 94708, USA.

出版信息

PNAS Nexus. 2025 Jul 29;4(7):pgaf194. doi: 10.1093/pnasnexus/pgaf194. eCollection 2025 Jul.

DOI:10.1093/pnasnexus/pgaf194
PMID:40735688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12305536/
Abstract

The ability to distort the visual record is not new. Airbrushed images attempted to alter the historical archives in the early 1900s. Today, digitally manipulated cheapfakes and deepfakes supercharge the spread of lies and conspiracies. While not fundamentally new, today's enhanced ability to easily create, distribute, and amplify manipulated media has heightened the risks. Reasonable and proportional interventions can and should be adopted that would allow for the creative uses of these powerful new technologies while mitigating the risk they pose to individuals, societies, and democracies.

摘要

歪曲视觉记录的能力并非新鲜事。20世纪初,经过修饰的图像就试图改变历史档案。如今,通过数字手段操纵的廉价伪造品和深度伪造品加速了谎言和阴谋的传播。虽然从根本上来说并非新鲜事物,但如今轻松创建、传播和放大被操纵媒体的能力得到增强,这增加了风险。可以而且应该采取合理且适度的干预措施,在允许创造性地使用这些强大新技术的同时,降低它们给个人、社会和民主制度带来的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/e635ac0c36fe/pgaf194f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/92a0abf1a171/pgaf194f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/474178d3e090/pgaf194f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/5f51684212ca/pgaf194f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/ceec7e02988d/pgaf194f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/e635ac0c36fe/pgaf194f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/92a0abf1a171/pgaf194f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/474178d3e090/pgaf194f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/5f51684212ca/pgaf194f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/ceec7e02988d/pgaf194f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27dd/12305536/e635ac0c36fe/pgaf194f5.jpg

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本文引用的文献

1
People are poorly equipped to detect AI-powered voice clones.人们识别人工智能驱动的语音克隆的能力很差。
Sci Rep. 2025 Mar 31;15(1):11004. doi: 10.1038/s41598-025-94170-3.
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Generative AI meets copyright.生成式 AI 与版权。
Science. 2023 Jul 14;381(6654):158-161. doi: 10.1126/science.adi0656. Epub 2023 Jul 13.
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Art and the science of generative AI.生成式人工智能的艺术与科学。
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Proc Natl Acad Sci U S A. 2022 Jan 4;119(1). doi: 10.1073/pnas.2110013119.
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The echo chamber effect on social media.社交媒体的回音室效应。
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Image Forensics.图像取证。
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