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你浅浅的微笑:表达性声音深度伪造的伦理问题。

The shallow of your smile: the ethics of expressive vocal deep-fakes.

机构信息

Science and Technology of Music and Sound, IRCAM/CNRS/Sorbonne Université, Paris, France.

Lille Neuroscience and Cognition Center (LiNC), Team PSY, INSERM U-1172/CHRU Lille, France.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2022 Jan 3;377(1841):20210083. doi: 10.1098/rstb.2021.0083. Epub 2021 Nov 15.

Abstract

Rapid technological advances in artificial intelligence are creating opportunities for real-time algorithmic modulations of a person's facial and vocal expressions, or 'deep-fakes'. These developments raise unprecedented societal and ethical questions which, despite much recent public awareness, are still poorly understood from the point of view of moral psychology. We report here on an experimental ethics study conducted on a sample of = 303 participants (predominantly young, western and educated), who evaluated the acceptability of vignettes describing potential applications of expressive voice transformation technology. We found that vocal deep-fakes were generally well accepted in the population, notably in a therapeutic context and for emotions judged otherwise difficult to control, and surprisingly, even if the user lies to their interlocutors about using them. Unlike other emerging technologies like autonomous vehicles, there was no evidence of social dilemma in which one would, for example, accept for others what they resent for themselves. The only real obstacle to the massive deployment of vocal deep-fakes appears to be situations where they are applied to a speaker without their knowing, but even the acceptability of such situations was modulated by individual differences in moral values and attitude towards science fiction. This article is part of the theme issue 'Voice modulation: from origin and mechanism to social impact (Part II)'.

摘要

人工智能技术的快速发展正在为实时算法调节人的面部和声音表情创造机会,也就是“深度伪造”。这些发展引发了前所未有的社会和伦理问题,尽管最近公众对此有了很多认识,但从道德心理学的角度来看,这些问题仍未得到很好的理解。我们在此报告一项在 303 名参与者(主要是年轻、西方和受过教育的)样本上进行的实验伦理研究,他们评估了描述表达性声音转换技术潜在应用的情境描述的可接受性。我们发现,声音深度伪造在人群中普遍被接受,特别是在治疗情境中,以及在其他情况下难以控制的情绪方面,令人惊讶的是,即使用户对他们的对话者撒谎说他们使用了这些技术。与自动驾驶等其他新兴技术不同,没有证据表明存在社会困境,例如,人们会为他人接受自己不愿意接受的东西。声音深度伪造大规模应用的唯一真正障碍似乎是在未经说话者知晓的情况下将其应用于说话者的情况,但即使在这种情况下,道德价值观和对科幻小说的态度的个体差异也会调节其可接受性。本文是主题为“声音调制:从起源和机制到社会影响(第二部分)”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aca/8591385/e1ee8750f62e/rstb20210083f01.jpg

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