Large language models and the treaty interpretation game

Pub Date : 2023-12-28 DOI:10.4337/cilj.2023.02.08
Jack Wright Nelson
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Abstract

Large language models (LLMs) are currently disrupting law. Yet their precise impact on international law, especially treaty interpretation, remains underexplored. Treaty interpretation can be analogised to a game in which ‘players’ strategically deploy ‘cards’, usually principles of treaty interpretation, to persuade an ‘audience’ that their interpretation is correct. Leveraging this analogy, this paper offers a limited case study of how OpenAI’s ChatGPT, a prominent LLM-based chatbot, navigates the treaty interpretation game. In line with the existing research on ChatGPT’s legal abilities, the author concludes that ChatGPT competently plays the treaty interpretation game. This conclusion leads to a broader discussion of how LLM usage may impact international law’s development. The argument advanced is that, while LLMs have the potential to enhance efficiency and accessibility, biased training data and interpretative standardisation could reinforce international law’s dominant narratives. As such, this paper concludes with a cautionary note: the potential gains derived from LLMs risk being offset by disciplinary stagnation.
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大型语言模型与条约解释游戏
大型语言模型(LLMs)目前正在颠覆法律。然而,它们对国际法,尤其是条约解释的确切影响仍未得到充分探索。条约解释可以类比为一场游戏,在游戏中,"玩家 "可以战略性地部署 "牌",通常是条约解释的原则,以说服 "观众 "他们的解释是正确的。利用这一类比,本文对 OpenAI 的 ChatGPT(一款基于 LLM 的著名聊天机器人)如何驾驭条约解释游戏进行了有限的案例研究。根据对 ChatGPT 法律能力的现有研究,作者得出结论:ChatGPT 能够胜任条约解释游戏。这一结论引发了关于法律硕士的使用如何影响国际法发展的更广泛讨论。本文提出的论点是,虽然 LLM 有可能提高效率和可及性,但有偏见的培训数据和解释标准化可能会强化国际法的主导叙事。因此,本文最后提出了一个警示:法学硕士的潜在收益有可能被学科停滞所抵消。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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