Reflexive Practices in Software Engineering

Alicia E. Boyd
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Abstract

Software plays a critical role in our daily lives, providing automated support for various tasks in various domains. Behind many of the decisions that modern software makes is a data-driven infrastructure that attempts to create equitable, unbiased decisions. However, numerous examples exist of data-driven software perpetuating societal inequities and further marginalizing populations. How do we attend to software fairness? What are the best approaches for software engineers to be more conscious of the harmful impacts on the most vulnerable within our communities? Prior work recommends new tools to resolve the unfair and biased outcomes; however, the issue of biased inequitable software technology is an interdisciplinary problem that we can no longer solely depend on technical solutions. Instead, we need to incorporate interdisciplinary methods to help address the inequity of software technology. This position paper introduces reflexivity from the social science literature to motivate and encourage software engineers to integrate reflexive practices throughout the entirety of the software engineering process.
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软件工程中的反思实践
软件在我们的日常生活中起着至关重要的作用,为各个领域的各种任务提供自动化支持。在现代软件做出的许多决策背后,是一个数据驱动的基础设施,它试图创造公平、公正的决策。然而,数据驱动的软件使社会不平等永久化并进一步边缘化人群的例子不胜枚举。我们如何关注软件公平?对于软件工程师来说,什么是最好的方法来让他们更加意识到对我们社区中最脆弱的人的有害影响?先前的工作建议使用新工具来解决不公平和有偏见的结果;然而,有偏见的不公平软件技术问题是一个跨学科的问题,我们不能再仅仅依靠技术解决方案。相反,我们需要结合跨学科的方法来帮助解决软件技术的不平等。这篇立场论文从社会科学文献中引入了反思性,以激励和鼓励软件工程师在整个软件工程过程中集成反思性实践。
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