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High Tech High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response

机译:高科技高风险:Covid-19大流行反应的技术伦理课程

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摘要

The COVID-19 pandemic has, in a matter of a few short months, drastically reshaped society around the world. Because of the growing perception of machine learning as a technology capable of addressing large problems at scale, machine learning applications have been seen as desirable interventions in mitigating the risks of the pandemic disease. However, machine learning, like many tools of technocratic governance, is deeply implicated in the social production and distribution of risk and the role of machine learning in the production of risk must be considered as engineers and other technologists develop tools for the current crisis. This paper describes the coupling of machine learning and the social production of risk, generally, and in pandemic responses specifically. It goes on to describe the role of risk management in the effort to institutionalize ethics in the technology industry and how such efforts can benefit from a deeper understanding of the social production of risk through machine learning.
机译:在几个月短的几个月内,Covid-19大流行病的人们在世界各地大幅重塑社会。由于对机器学习的感知日益激烈,作为能够以规模解决大问题的技术,机器学习应用已经被视为减轻大流行病风险的理想干预。然而,与技术政治的许多工具一样,机器学习非常暗中暗中含有风险的社会生产和分配,并且机器学习在风险的生产中的作用必须被视为工程师和其他技术人员为目前危机开发工具。本文介绍了机器学习和社会生产的耦合,通常和大流行反应。它继续描述风险管理在技术产业中伦理的努力中的作用以及这种努力如何通过机器学习更深入地了解社会生产风险。

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