从基于设计的信任到人工智能时代的持续信任
From Trust-by-Design to Continuous Trust in the Era of Artificial Intelligence
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中文总结 AI 辅助
针对人工智能时代传统信任验证的不足，提出持续信任概念，通过运行示例详细阐述，并讨论合规检查等相关工作及形式化展望。
中文摘要 AI 辅助
信任在数字世界中至关重要，尤其是在基于人工智能的系统的时代。传统上，系统正确性通过证明系统满足所需属性来展示。然而，数字系统涉及人类，他们可能犯错、违反规则，甚至故意欺骗系统。技术设备也可能发生故障或导致错误。因此，外部利益相关者需要在系统整个运行过程中信任它。为了应对这一挑战，我们提出了持续信任的概念。在本文中，我们基于一个企业的退款部门的运行示例，详细解释了这一概念。文章最后讨论了相关工作，如合规检查和认证，以及对形式化和必要工具支持等进一步问题的展望。
英文摘要
Trust is crucial in the digital world, particularly in the age of systems based on artificial intelligence. Traditionally, system correctness is demonstrated by proving that the system satisfies the required properties. However, digital systems involve humans, who can make mistakes, break rules, or even intentionally cheat the system. Technical devices may also malfunction or cause errors. Therefore, external stakeholders need to trust a system throughout its operation. To address this challenge, we propose the concept of continuous trust. In this paper, we present a detailed explanation of this concept, based on a running example of a business's refund department. The paper concludes with a discussion of related work, such as compliance checking and certification, as well as an outlook on further questions regarding the formalization and the necessary tool support.
