As AI systems are increasingly incorporated into domains where human behavior
has set the norm, a challenge for AI governance and AI alignment research is to
regulate their behavior in a way that is useful and constructive for society.
One way to answer this question is to ask: how do we govern the human behavior
that the models are emulating? To evaluate human behavior, the American legal
system often uses the "Reasonable Person Standard." The idea of "reasonable"
behavior comes up in nearly every area of law. The legal system often judges
the actions of parties with respect to what a reasonable person would have done
under similar circumstances. This paper argues that the reasonable person
standard provides useful guidelines for the type of behavior we should develop,
probe, and stress-test in models. It explains how reasonableness is defined and
used in key areas of the law using illustrative cases, how the reasonable
person standard could apply to AI behavior in each of these areas and contexts,
and how our societal understanding of "reasonable" behavior provides useful
technical goals for AI researchers.

人工智能治理和人工智能对齐研究的一个挑战是以一种对社会有用和建设性的方式规范其行为，而合理人标准提供了对我们在模型中开发、测试和强调的行为类型的有用指导，并且解释了合理性在关键领域的定义和用法，以及合理行为的社会理解为 AI 研究人员提供了有益的技术目标。