AI-generated images of familiar faces are indistinguishable from real photographs.

IF 3.1 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Robin S S Kramer, Alex L Jones, Daniel Fitousi, Jeremy J Tree
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引用次数: 0

Abstract

Human users are now able to generate synthetic face images with artificial intelligence (AI) tools. Although indistinguishable from real photographs, these images have tended to feature fictional identities that do not exist in the real world. As a result, their use in applied contexts, including the spread of fake information, is similarly limited. Here, we investigated a new method for generating face images (via ChatGPT plus DALL·E) and its application to both fictional and real (in this case, celebrity) identities. Our results demonstrated that generated images of both fictional (Experiment 1) and celebrity identities (Experiment 2) could not be distinguished from real photographs. Further, providing additional real photographs for comparison during the task resulted in limited gains (Experiments 3 and 4). Finally, prior familiarity with celebrity faces produced only modest performance improvements. Therefore, new methods of detection should be explored as a matter of urgency since the latest 'off the shelf' AI tools can now generate face images of real people that are essentially undetectable as synthetic to most human observers.

Abstract Image

Abstract Image

Abstract Image

人工智能生成的熟悉面孔图像与真实照片无法区分。
人类用户现在能够使用人工智能(AI)工具生成合成的人脸图像。尽管与真实照片难以区分,但这些图像往往具有现实世界中不存在的虚构身份。因此,它们在实际环境中的使用,包括虚假信息的传播,同样受到限制。在这里,我们研究了一种生成人脸图像的新方法(通过ChatGPT和DALL·E),并将其应用于虚构和真实(在这种情况下,是名人)身份。我们的研究结果表明,虚构(实验1)和名人身份(实验2)生成的图像无法与真实照片区分开来。此外,在任务期间提供额外的真实照片进行比较导致收益有限(实验3和4)。最后,事先熟悉名人面孔只产生了适度的表现改善。因此,迫切需要探索新的检测方法,因为最新的“现成”人工智能工具现在可以生成大多数人类观察者基本上无法检测到的真人面部图像。
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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来源期刊
CiteScore
6.80
自引率
7.30%
发文量
96
审稿时长
25 weeks
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