Unusual Suspects

Janet Chan
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Abstract

The use of artificial intelligence in facial recognition systems has been controversial. Among issues of concerns is the accuracy of such systems for recognising faces of non-white people. This work turns the debate on its head by showing six images of AI generated faces using identical prompts that include the words “Asian woman” and “facial recognition biometrics person technology” via Text 2 Dream in Deep Dream Generator. Rather than investigating the level of accuracy in facial recognition systems, it demonstrates how a particular AI software creates visual representation of “Asian women.” The experiment explores the interaction between text (prompt) and a particular generative algorithm. It raises questions about the data on which the algorithm is trained, how images are labelled/interpreted in training data, and the underlying power AI algorithms have in reproducing/changing stereotypes. Not transparent to the viewers is the role of the artist in selecting/framing prompts and “starter” images.
不寻常的嫌疑人
人工智能在面部识别系统中的应用一直存在争议。其中一个令人担忧的问题是,这种系统识别非白人面孔的准确性。这项工作通过展示六张人工智能生成的面部图像,使用相同的提示,包括“亚洲女性”和“面部识别生物识别人技术”,从而扭转了争论。它没有调查面部识别系统的准确性,而是展示了特定的人工智能软件如何创建“亚洲女性”的视觉表现。实验探讨了文本(提示)和特定生成算法之间的交互作用。它提出了关于训练算法的数据,如何在训练数据中标记/解释图像,以及人工智能算法在再现/改变刻板印象方面的潜在力量的问题。对于观众来说,不透明的是艺术家在选择/框架提示和“启动”图像中的作用。
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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