Explanation and trust: what to tell the user in security and AI?
Explanation and trust: what to tell the user in security and AI?
复制标题
解释与信任：在安全和人工智能方面要告诉用户什么？
DOI：
10.1007/s10676-010-9253-3
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发表时间：
2011
影响因子：
3.6
通讯作者：
W. Pieters
中科院分区：
文献类型：
--
作者：
W. Pieters
人工智能（AI）和信息安全存在一个共同的问题。在人工智能中，专家系统需要能够证明并向用户解释一个决定。在信息安全方面，专家需要能够向公众解释为什么一个系统是安全的。在这两种情况下，解释的一个重要目标是获得或维持用户的信任。在本文中，我研究了在计算科学的背景下解释和信任之间的关系。本文采用文献研究法和概念分析法，运用系统论和行动者网络理论的要素。我将概念框架应用于人工智能和信息安全领域，并通过实例展示了该框架在这两个领域的好处。重点是专家系统（AI）和电子投票系统（安全）。最后，我讨论了在（非）知情同意和异议方面的道德分析的后果，以及相关的责任划分。
There is a common problem in artificial intelligence (AI) and information security. In AI, an expert system needs to be able to justify and explain a decision to the user. In information security, experts need to be able to explain to the public why a system is secure. In both cases, an important goal of explanation is to acquire or maintain the users’ trust. In this paper, I investigate the relation between explanation and trust in the context of computing science. This analysis draws on literature study and concept analysis, using elements from system theory as well as actor-network theory. I apply the conceptual framework to both AI and information security, and show the benefit of the framework for both fields by means of examples. The main focus is on expert systems (AI) and electronic voting systems (security). Finally, I discuss consequences of the analysis for ethics in terms of (un)informed consent and dissent, and the associated division of responsibilities.