人类识别AI生成图像能力有限，仅略高于随机猜测。
How good are humans at detecting AI-generated images? Learnings from an experiment
- 通过在线游戏收集28.7万次判断，测试人类辨识能力。
- 整体准确率62%，人脸图识别较好，风景图识别困难。
- 提醒需加强水印和检测工具以防范虚假信息。
随着AI图像生成技术进步，人类能否区分真实与AI生成图像成为关键问题。本研究基于在线游戏「Real or Not Quiz」收集的数据，分析超过12,500名全球参与者对近28.7万张随机呈现的实拍与AI生成图像的判断。结果显示，总体识别准确率为62%，仅略高于随机水平。参与者在人像识别上表现最佳，但在自然景观与城市风光类图像上识别困难显著。这表明，当图像缺乏明显伪影或风格线索时，人类难以有效辨别真伪。研究强调需发展透明性工具，如数字水印和可靠检测技术，以应对由AI内容引发的信息误导风险。
原文摘要 · Abstract (English)
As AI-powered image generation improves, a key question is how well human beings can differentiate between "real" and AI-generated or modified images. Using data collected from the online game "Real or Not Quiz.", this study investigates how effectively people can distinguish AI-generated images from real ones. Participants viewed a randomized set of real and AI-generated images, aiming to identify their authenticity. Analysis of approximately 287,000 image evaluations by over 12,500 global participants revealed an overall success rate of only 62\%, indicating a modest ability, slightly above chance. Participants were most accurate with human portraits but struggled significantly with natural and urban landscapes. These results highlight the inherent challenge humans face in distinguishing AI-generated visual content, particularly images without obvious artifacts or stylistic cues. This study stresses the need for transparency tools, such as watermarks and robust AI detection tools to mitigate the risks of misinformation arising from AI-generated content
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