Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
80 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning (2009.02243v1)

Published 31 Aug 2020 in cs.CY and cs.AI

Abstract: 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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (1)
  1. Lance Eliot (11 papers)
Citations (5)