How to make artificial intelligence (AI) systems safe and aligned with human values is an open research question. Proposed solutions tend toward relying on human intervention in uncertain situations, learning human values and intentions through training or observation, providing off-switches, implementing isolation or simulation environments, or extrapolating what people would want if they had more knowledge and more time to think. Law-based approaches--such as inspired by Isaac Asimov--have not been well regarded. This paper makes a case that effective legal systems are the best way to address AI safety. Law is defined as any rules that codify prohibitions and prescriptions applicable to particular agents in specified domains/contexts and includes processes for enacting, managing, enforcing, and litigating such rules.

翻译：如何使人工智能系统安全并与人类价值观对齐是一个尚未解决的研究问题。现有解决方案倾向于依赖人类在不确定情况下的干预、通过训练或观察学习人类价值观与意图、提供关闭开关、实施隔离或模拟环境，或推断人类在拥有更多知识和更多思考时间时可能期望的行为。基于法律的方法——例如受艾萨克·阿西莫夫启发的方法——并未获得足够重视。本文论证有效的法律体系是应对人工智能安全性的最佳途径。法律被定义为任何将禁令与规范编纂为适用于特定领域/情境中特定主体的规则，并包含制定、管理、执行和诉讼此类规则的程序。