Infrastructural justice for responsible software engineering,

Sarah Robinson , Jim Buckley , Luigina Ciolfi , Conor Linehan , Clare McInerney , Bashar Nuseibeh , John Twomey , Irum Rauf , John McCarthy
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引用次数: 0

Abstract

In recent years, we have seen many examples of software products unintentionally causing demonstrable harm. Many guidelines for ethical and responsible computing have been developed in response. Dominant approaches typically attribute liability and blame to individual companies or actors, rather than understanding how the working practices, norms, and cultural understandings in the software industry contribute to such outcomes. In this paper, we propose an understanding of responsibility that is infrastructural, relational, and cultural; thus, providing a foundation to better enable responsible software engineering into the future. Our approach draws on Young's (2006) social connection model of responsibility and Star and Ruhleder's (1994) concept of infrastructure. By bringing these theories together we introduce a concept called infrastructural injustice, which offers a new way for software engineers to consider their opportunities for responsible action with respect to society and the planet. We illustrate the utility of this approach by applying it to an Open-Source software communities’ development of Deepfake technology, to find key leverage points of responsibility that are relevant to both Deepfake technology and software engineering more broadly.

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负责任软件工程的基础公正、
近年来,我们看到了许多软件产品无意中造成明显伤害的例子。为此,我们制定了许多符合伦理和负责任的计算准则。主流方法通常将责任归咎于个别公司或行为者,而不是理解软件行业的工作实践、规范和文化理解是如何导致此类结果的。在本文中,我们提出了一种对责任的理解,这种理解具有基础性、关系性和文化性,从而为未来更好地开展负责任的软件工程奠定了基础。我们的方法借鉴了 Young(2006 年)的责任社会联系模型以及 Star 和 Ruhleder(1994 年)的基础设施概念。通过将这些理论结合在一起,我们提出了一个名为 "基础设施不公正 "的概念,它为软件工程师提供了一种新的方法,使他们能够考虑采取对社会和地球负责任的行动的机会。我们将这种方法应用于开源软件社区的 Deepfake 技术开发中,以说明这种方法的实用性,从而找到与 Deepfake 技术和更广泛的软件工程相关的关键责任杠杆点。
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来源期刊
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
168 days
期刊最新文献
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