Machine learning models are now able to convert user-written text
descriptions into naturalistic images. These models are available to anyone
online and are being used to generate millions of images a day. We investigate
these models and find that they amplify dangerous and complex stereotypes.
Moreover, we find that the amplified stereotypes are difficult to predict and
not easily mitigated by users or model owners. The extent to which these
image-generation models perpetuate and amplify stereotypes and their mass
deployment is cause for serious concern.

研究表明，现在机器学习模型能够将用户写的文本描述转换成逼真的图像，并且这些模型现在可以在线使用，每天可生成数百万张图像。然而，我们发现这些模型放大了危险和复杂的刻板印象，并且这些放大的刻板印象难以预测，用户或模型所有者也难以减轻其影响。这些图像生成模型的大规模部署是否会延续和放大刻板印象，这是非常值得关注的问题。