The Ethics of Automating Legal Actors
December 01, 2023 ยท Declared Dead ยท ๐ Transactions of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel
arXiv ID
2312.00584
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
3
Venue
Transactions of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
The introduction of large public legal datasets has brought about a renaissance in legal NLP. Many of these datasets are comprised of legal judgements - the product of judges deciding cases. This fact, together with the way machine learning works, means that several legal NLP models are models of judges. While some have argued for the automation of judges, in this position piece, we argue that automating the role of the judge raises difficult ethical challenges, in particular for common law legal systems. Our argument follows from the social role of the judge in actively shaping the law, rather than merely applying it. Since current NLP models come nowhere close to having the facilities necessary for this task, they should not be used to automate judges. Furthermore, even in the case the models could achieve human-level capabilities, there would still be remaining ethical concerns inherent in the automation of the legal process.
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