This text argues for the potential of machine learning infused classification systems as vectors for a technically-engaged and constructive technology critique. The text describes this potential with several experiments in image data creation and neural network based classification. The text considers varying aspects of slippage in classification and considers the potential for discovery - as opposed to disaster - stemming from machine learning systems when they fail to perform as anticipated.

翻译：本案文认为,机器学习输入的分类系统有可能成为技术投入和建设性技术批评的载体,在图像数据生成和神经网络分类方面的若干实验中描述了这种潜力,其中考虑了分类落后的不同方面,并考虑了机器学习系统未能如预期的那样发挥作用时发现(而不是灾难)的可能性。