Patchwork: The Hidden, Human Labor of AI Integration within Essential Work
Patchwork: The Hidden, Human Labor of AI Integration within Essential Work
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DOI：
10.1145/3579514
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发表时间：
2023-04
影响因子：
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通讯作者：
Sarah E. Fox;S. Shorey;Esther Y. Kang;Dominique A. Montiel Valle;Estefania Rodriguez
中科院分区：
文献类型：
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作者：
Sarah E. Fox;S. Shorey;Esther Y. Kang;Dominique A. Montiel Valle;Estefania Rodriguez
本文探讨了在COVID-19大流行期间，人工智能和自动化技术在关键行业的快速引入。根据美国两个浪费劳动力的地点的参与者观察和采访，我们认为一线工人所做的大量努力，使机器人与他们的社会和物质环境之间的关系变得顺畅。在研究过程中，我们发现，随着时间的推移，工人们需要不断进行校准、故障排除和维修，以支持人工智能技术。在询问这些网站时，我们提出了“拼凑”的概念：在人工智能声称要做的事情和它实际完成的事情之间的空间中发生的人类劳动。我们认为，有必要考虑经常被低估的一线工作，以弥补人工智能在实施过程中的不足，特别是随着CSCW越来越多地转向讨论人与人工智能的合作。
This paper examines the rapid introduction of AI and automation technologies within essential industries amid the COVID-19 pandemic. Drawing on participant observation and interviews within two sites of waste labor in the United States, we consider the substantial effort performed by frontline workers who smooth the relationship between robotics and their social and material environment. Over the course of the research, we found workers engaged in continuous acts of calibration, troubleshooting, and repair required to support AI technologies over time. In interrogating these sites, we develop the concept of "patchwork": human labor that occurs in the space between what AI purports to do and what it actually accomplishes. We argue that it is necessary to consider the often-undervalued frontline work that makes up for AI's shortcomings during implementation, particularly as CSCW increasingly turns to discussions of Human-AI collaboration.