人工智能支持的法律微观指令的鲁棒性和克服脆弱性：AI法律推理的自治层次的作用
Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning
摘要：
法律学者最近的研究表明，法律可能不可避免地被转化为由法律规则组成的法律微观指令，这些法律规则来自法律标准，或者是自动产生的，或者是通过法律目标的衍生而产生的，然后通过自动化传播，供日常使用，作为整个社会随时可用的法律指令。本文从三个关键方面对法律微观指令理论进行了考察和扩展：（1）通过表明法律微指令可能是人工智能支持的，并且随着时间的推移，在人工智能法律推理的自主级别上的范围和速度上不断演变，（2）通过探索法律标准和法律规则之间的权衡作为微指令的打印机，以及（3）通过阐明一系列可能破坏法律微指令的脆弱性暴露，并提供潜在的缓解补救措施，以寻求在此类人工智能驱动的法律指令的实例化和颁布中获得更大的鲁棒性。
英文摘要：
Recent research by legal scholars suggests that the law might inevitably be transformed into legal micro-directives consisting of legal rules that are derived from legal standards or that are otherwise produced automatically or via the consequent derivations of legal goals and then propagated via automation for everyday use as readily accessible lawful directives throughout society. This paper examines and extends the legal micro-directives theories in three crucial respects: (1) By indicating that legal micro-directives are likely to be AI-enabled and evolve over time in scope and velocity across the autonomous levels of AI Legal Reasoning, (2) By exploring the trade-offs between legal standards and legal rules as the imprinters of the micro-directives, and (3) By illuminating a set of brittleness exposures that can undermine legal micro-directives and proffering potential mitigating remedies to seek greater robustness in the instantiation and promulgation of such AI-powered lawful directives.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
