深度伪造:法律影响

Trishana Ramluckan
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引用次数: 0

摘要

深度假新闻的发展始于2017年,当时Reddit网络平台上的一名软件开发人员开始发布他的创作,将好莱坞明星的脸换成成人电影艺人的脸;2018年,喜剧演员乔丹-皮尔发布了一段美国前总统奥巴马侮辱美国前总统特朗普的深度假新闻视频,并警告深度假媒体的危害。到 2019 年,随着深度假新闻的病毒式使用,美国众议院情报委员会开始就深度假新闻对美国安全构成的潜在威胁举行听证会。不幸的是,深度伪造变得更加复杂和难以检测。由于很容易获得深度伪造的应用,其使用量在过去五年中急剧增加。现在,深度伪造的目的是骚扰、恐吓、贬低和威胁他人,往往会导致错误信息的产生和传播,并在重要的国家和非国家问题上制造混乱。深度伪造还可能侵犯知识产权,例如非法利用特定产品线、商标或标签。此外,"深度伪造 "还可能造成更严重的问题,如侵犯人权、隐私权、个人数据保护权等。虽然只有少数几个国家的政府批准了人工智能法规,但大多数国家的政府出于对言论自由的担忧,并没有批准人工智能法规。虽然大多数在线平台(如 YouTube)已经实施了一系列法律机制来控制其平台上发布的内容,但这仍然是一件费时费力、成本高昂的事情。一个主要的挑战是,深度伪造的内容往往无法被人眼检测到,这就促使政府和私人平台开发深度伪造检测技术,并对其使用进行监管。本文旨在讨论使用深度伪造技术的法律和道德影响及责任,并强调监管机构和社会在考虑在线内容传播平台和政府在解决深度伪造问题中的潜在作用时所面临的各种社会和法律挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deepfakes: The Legal Implications
The development of deepfakes began in 2017, when a software developer on the Reddit online platform began posting his creations in which he swapped the faces of Hollywood celebrities onto the faces of adult film artists, while in 2018, the comedic actor Jordan Peele posted a deepfake video of former U.S. President Obama insulting former U.S. President Trump and warning of the dangers of deepfake media. With the viral use of deepfakes by 2019, the U.S. House Intelligence Committee began hearings on the potential threats to U.S. security posed by deepfakes. Unfortunately, deepfakes have become even more sophisticated and difficult to detect. With easy accessibility to the applications of deepfakes, its usage has increased drastically over the last five years. Deepfakes are now designed to harass, intimidate, degrade, and threaten people and often leads to the creation and dissemination of misinformation as well as creating confusion about important state and non-state issues. A deepfake may also breach IP rights e.g., by unlawfully exploiting a specific line, trademark or label. Furthermore, deepfakes may cause more severe problems such as violation of the human rights, right of privacy, personal data protection rights apart from the copyright infringements. While just a few governments have approved AI regulations, the majority have not due to concerns around the freedom of speech. And while most online platforms such as YouTube have implemented a number of legal mechanisms to control the content posted on their platforms, it remains a time consuming and costly affair. A major challenge is that deep fakes often remain indetectable by the unaided human eye, which lead to the development by governments and private platform to develop deep-fake detecting technologies and regulations around their usage. This paper seeks to discuss the legal and ethical implications and responsibilities of the use of  deepfake technologies as well as to highlight the various social and legal challenges which both regulators and the society face while considering the potential role of online content dissemination platforms and governments in addressing deep fakes.
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