Predicting Consumer Contracts with GPT-3: A Legal Case Study in Computational Language Models
Computational language models can perform a wide range of complex tasks by predicting the next word in a sequence. In the legal domain, language models can summarize laws, draft case documents, and translate legal jargon into plain English. While language models could potentially empower consumers, they could also provide misleading legal advice and entrench harmful biases. By exploring the extent to which GPT-3 can understand consumer contracts, this case study sheds light on the opportunities and challenges of using language models to inform consumers of their legal rights and obligations.
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Noam Kolt
Faculty of Law
Schwartz Reisman Institute for Technology and Society
University of Toronto
Wed, Apr 14, 2021
04:00 PM - 05:00 PM
Centre for Ethics, University of Toronto
200 Larkin