Jon Choi

67 posts

Jon Choi

Jon Choi

@JonathanHChoi

Law Professor @WashULaw. Law & AI, Statutory Interpretation, Tax Law.

Katılım Aralık 2019
60 Takip Edilen553 Takipçiler
Dan Epps
Dan Epps@danepps·
Ok, I've done originalism and living constitutionalism. What does DALL-E think of common good constitutionalism? Let's find out. (Thread.) DALL-E, draw me a picture of a law professor who is an adherent of common good constitutionalism. cc @Vermeullarmine
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Daniel Schwarcz
Daniel Schwarcz@Dschwarcz·
🚨New Paper 🚨 In the first randomized controlled trial of AI assistance’s effect on human legal analysis, we find it leads to large & consistent increases in speed on various legal tasks w/o harming quality. Check out Lawyering in the Age of AI now: papers.ssrn.com/sol3/papers.cf….
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Sam Grange
Sam Grange@samuel_grange·
Are all the legal docs @NeelGuha's LegalBench available open source anywhere? For example, all the cases for the citation_prediction_classification task? @damienriehl @vlex
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OpenAI
OpenAI@OpenAI·
We’re releasing a guide for teachers using ChatGPT in their classroom — including suggested prompts, an explanation of how ChatGPT works and its limitations, the efficacy of AI detectors, and bias. openai.com/blog/teaching-…
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Jon Choi
Jon Choi@JonathanHChoi·
Finally, we found that with good prompting (grounding with sources), GPT-4 alone outperformed on average BOTH humans alone AND humans with access to AI. Potentially bad news for legal paraprofessionals who currently do simple tasks conducive to automation. 3/4
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Jon Choi
Jon Choi@JonathanHChoi·
📜New paper!📜 The big question for professors this past year: how useful is GPT-4 for university exams? @Dschwarcz and I ran a study on law school exams, finding that GPT-4 helps with simple multiple-choice but not complex essay questions. 1/4 papers.ssrn.com/sol3/papers.cf…
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Jon Choi
Jon Choi@JonathanHChoi·
Analysis code is here: jonathanhchoi.com/code-llms-elr. Thanks to Nina Mendelson for providing the human-coded data for this study; the methods article is a companion to a larger doctrinal project we're working on, stay tuned!
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Jon Choi
Jon Choi@JonathanHChoi·
The article is forthcoming in the Journal of Institutional and Theoretical Economics as part of a terrific symposium on Machine Learning & Law. Thanks to Christoph Engel for organizing and to @jed_stiglitz and @eredmil1 for commenting! 4/4
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Jon Choi
Jon Choi@JonathanHChoi·
🚨📜🚨 New paper! If, like me, you're an empirical legal scholar and also a terrible manager, you might have wondered whether LLMs can replace student RAs in coding data. "How to Use Large Language Models for Empirical Legal Scholarship" reveals: Yes! ... 1/4
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Jon Choi
Jon Choi@JonathanHChoi·
New draft paper on arXiv with @johnjnay @sarahlawsky and others! Explores GPT's capabilities at answering tough tax problems; finds that performance improves significantly with few-shot prompting and access to relevant sources.
AK@_akhaliq

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence paper page: huggingface.co/papers/2306.07… Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and leveraging LLMs to identify inconsistencies in law. This paper explores LLM capabilities in applying tax law. We choose this area of law because it has a structure that allows us to set up automated validation pipelines across thousands of examples, requires logical reasoning and maths skills, and enables us to test LLM capabilities in a manner relevant to real-world economic lives of citizens and companies. Our experiments demonstrate emerging legal understanding capabilities, with improved performance in each subsequent OpenAI model release. We experiment with retrieving and utilising the relevant legal authority to assess the impact of providing additional legal context to LLMs. Few-shot prompting, presenting examples of question-answer pairs, is also found to significantly enhance the performance of the most advanced model, GPT-4. The findings indicate that LLMs, particularly when combined with prompting enhancements and the correct legal texts, can perform at high levels of accuracy but not yet at expert tax lawyer levels. As LLMs continue to advance, their ability to reason about law autonomously could have significant implications for the legal profession and AI governance.

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Jon Choi
Jon Choi@JonathanHChoi·
Some news: Excited to say that I'm joining the faculty @USCGouldLaw this fall as a Professor of Law. Looking forward to a dynamic new group of collaborators at USC, and grateful to my colleagues and students @UofMNLawSchool, which has been a wonderful place to start my career.
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