Evaluating AI for Law: Bridging the Gap with Open-Source Solutions

التفاصيل البيبلوغرافية
العنوان: Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
المؤلفون: Bhambhoria, Rohan, Dahan, Samuel, Li, Jonathan, Zhu, Xiaodan
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
الوصف: This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It suggests leveraging foundational models enhanced by domain-specific knowledge to overcome these issues. The paper advocates for creating open-source legal AI systems to improve accuracy, transparency, and narrative diversity, addressing general AI's shortcomings in legal contexts.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2404.12349
رقم الأكسشن: edsarx.2404.12349
قاعدة البيانات: arXiv