Stories from the Frontline: Recuperating Essential Worker Accounts of AI Integration

Stories from the Frontline: Recuperating Essential Worker Accounts of AI Integration
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DOI:
10.1145/3532106.3533564
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发表时间:
2022-06
期刊:
Proceedings of the 2022 ACM Designing Interactive Systems Conference
影响因子:
--
通讯作者:
Esther Y. Kang;Sarah E. Fox
Esther Y. Kang;Sarah E. Fox
中科院分区:
其他
文献类型:
--
作者:
Esther Y. Kang;Sarah E. Fox

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本文旨在提高在新冠疫情中引入人工智能技术的基本工人账户。通过对一线工作人员的人种学观察、访谈和参与式设计,我们研究了美国一家废物管理机构的工作人员的经历,该机构新近负责监督自动地板清洁机器人。为了补充和扩展强调这些设备的功能和性能的管理和工程描述,我们使用了恢复方法来重新集中工人在地面上的社会物质现实。例如,工人们报告了对拥挤地区设备安全性的担忧,以及需要在组织的各个层面进行更全面的培训。本研究旨在通过将基本工作者定位为开发部署新技术和评估试点项目的最佳实践的关键来源,扩大关于道德人工智能的论述。
This paper aims to elevate essential worker accounts of the introduction of AI technology amid the COVID-19 pandemic. Drawing from a mix of ethnographic observations, interviews, and participatory design encounters with frontline staff, we examine the experiences of workers in a waste management facility in the United States newly tasked with overseeing autonomous floor cleaning robots. To complement and extend managerial and engineering descriptions emphasizing the functionality and performance of these devices, we used recuperative approaches to re-center the socio-material realities of workers on-the-ground. For example, workers reported concerns on the safety of the devices in congested areas and a need for more comprehensive training across all levels of the organization. This research seeks to expand the discourse on ethical AI by situating essential workers as a key source in developing best practices for deploying new technologies and evaluating pilot projects.