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Summary of Inacia: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges, by Jayr Pereira et al.


INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges

by Jayr Pereira, Andre Assumpcao, Julio Trecenti, Luiz Airosa, Caio Lente, Jhonatan Cléto, Guilherme Dobins, Rodrigo Nogueira, Luis Mitchell, Roberto Lotufo

First submitted to arxiv on: 10 Jan 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI)

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GrooveSquid.com Paper Summaries

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
INACIA, a system that integrates Large Language Models (LLMs) into the Brazilian Federal Court of Accounts’ operational framework, is introduced. This system automates various stages of case analysis, including basic information extraction and recommendation generation. Through experiments, INACIA’s potential in extracting relevant information, evaluating legal plausibility, and formulating propositions for judicial decision-making is demonstrated. A novel approach to assessing system performance is presented, correlating highly with human judgment. While INACIA shows promise in complex legal task handling, its limitations are acknowledged.
Low GrooveSquid.com (original content) Low Difficulty Summary
INACIA is a new way to use artificial intelligence (AI) in law. It helps judges make decisions by analyzing cases and finding important information. This paper shows how well INACIA works and what it can do. It also talks about the potential of using AI in law, but says we need to be careful.

Keywords

* Artificial intelligence