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Full-Text Articles in Legal Writing and Research
Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson
Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson
Dickinson Law Review (2017-Present)
In this Essay, we analyze the arguments in favor of, and against, viewing the use of copyrighted works in training sets for AI as fair use. We call this form of fair use “fair training.” We identify both strong and spurious arguments on both sides of this debate. In addition, we attempt to take a broader perspective, weighing the societal costs (e.g., replacement of certain forms of human employment) and benefits (e.g., the possibility of novel AI-based approaches to global issues such as environmental disruption) of allowing AI to make easy use of copyrighted works as training sets to facilitate …
Luck Of The Draw Iii: Using Ai To Examine Decision‐Making In Federal Court Stays Of Removal, Sean Rehaag
Luck Of The Draw Iii: Using Ai To Examine Decision‐Making In Federal Court Stays Of Removal, Sean Rehaag
All Papers
This article examines decision‐making in Federal Court of Canada immigration law applications for stays of removal, focusing on how the rates at which stays are granted depend on which judge decides the case. The article deploys a form of computational natural language processing, using a large‐language model machine learning process (GPT‐3) to extract data from online Federal Court dockets. The article reviews patterns in outcomes in thousands of stay of removal applications identified through this process and reveals a wide range in stay grant rates across many judges. The article argues that the Federal Court should take measures to encourage …