Towards Achieving Trust Through Transparency and Ethics

David Kwan, L. M. Cysneiros, Julio Cesar Sampaio do Prado Leite
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引用次数: 9

Abstract

The ubiquitous presence of software in the products we use, together with Artificial Intelligence in these products, has led to an increasing need for consumer trust. Consumers often lose faith in products, and the lack of Trust propagates to the companies behind them. This is even more so in mission-critical systems such as autonomous vehicles and clinical support systems. This paper follows grounded theory principles to elicit knowledge related to Trust, Ethics, and Transparency. We approach these qualities as Non-Functional Requirements (NFRs), aiming to build catalogs to subsidize the construction of Socially Responsible Software. The corpus we have used was built on a selected collection of literature on Corporate Social Responsibility, with an emphasis on Business Ethics. Our challenge is how to encode the social perspective knowledge, mainly through the view of Corporate Social Responsibility, on how organizations or institutions achieve trustworthiness. Since our ground perspective is that of NFRs, results are presented by a catalogue of Trust as a Non-Functional Requirement, represented as a Softgoal Interdependency Graph (SIG). The SIG language helps software engineers in understanding alternatives they have to improve Trust in software products.
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通过透明度和道德实现信任
我们使用的产品中无处不在的软件,以及这些产品中的人工智能,导致对消费者信任的需求日益增加。消费者往往会对产品失去信心,而信任的缺失会蔓延到产品背后的公司。在自动驾驶汽车和临床支持系统等关键任务系统中更是如此。本文遵循扎根的理论原则,引出与信任、伦理和透明度相关的知识。我们将这些品质作为非功能需求(NFRs)来处理,旨在建立目录以资助社会责任软件的构建。我们使用的语料库是建立在关于企业社会责任的文献精选集的基础上的,重点是商业道德。我们面临的挑战是如何编码社会视角知识,主要是通过企业社会责任的观点,组织或机构如何实现可信赖性。由于我们的基本视角是NFRs,结果由信任目录作为非功能需求呈现,表示为软目标相互依赖图(SIG)。SIG语言帮助软件工程师理解他们必须提高对软件产品的信任的备选方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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