迈向与价值一致的体系的步骤（Computers and Society）

• 2020 年 2 月 18 日
• 筆記

算法(包括AI/ML)决策工件是我们决策生态系统中已建立和正在发展的一部分。他们现在是不可或缺的工具，帮助我们管理洪水般的信息，我们试图在一个复杂的世界作出有效的决定。当前的文献中充满了关于单个工件如何违反社会规范和期望的例子(例如，违反公平、隐私或安全规范)。在这种背景下，本文的讨论强调了一个未被重视的观点，即研究的重点是评估人工智能装备的社会技术系统中的价值失调。到目前为止，对价值偏差的研究主要集中在单个技术工件的行为上。本讨论主张采用更结构化的系统级方法来评估社会技术系统中的价值一致性。我们主要依靠对公平的研究来使我们的论点更加具体。我们利用这个机会来强调采用系统视角如何提高我们更好地解释和处理价值偏差的能力。我们的讨论以对优先级问题的探索结束，如果我们要确保整个系统的价值对齐，而不仅仅是单个工件，就需要关注这些问题。

原文题目：Steps Towards Value-Aligned Systems

原文：Algorithmic (including AI/ML) decision-making artifacts are an established and growing part of our decision-making ecosystem. They are now indispensable tools that help us manage the flood of information we use to try to make effective decisions in a complex world. The current literature is full of examples of how individual artifacts violate societal norms and expectations (e.g. violations of fairness, privacy, or safety norms). Against this backdrop, this discussion highlights an under-emphasized perspective in the body of research focused on assessing value misalignment in AI-equipped sociotechnical systems. The research on value misalignment so far has a strong focus on the behavior of individual tech artifacts. This discussion argues for a more structured systems-level approach for assessing value-alignment in sociotechnical systems. We rely primarily on the research on fairness to make our arguments more concrete. And we use the opportunity to highlight how adopting a system perspective improves our ability to explain and address value misalignments better. Our discussion ends with an exploration of priority questions that demand attention if we are to assure the value alignment of whole systems, not just individual artifacts.

原文作者：Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung

原文链接：https://arxiv.org/abs/2002.05672