AI Training Data Dilemma: Legal Experts Argue For ‘Fair Use’
Details
- Publish Date:
- October 4, 2024
- Author(s):
-
- Khan, Roomy
- Source:
- Forbes
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Summary
Mark Lemley, the William H. Neukom Professor of Law at Stanford Law School and the Director of the Stanford Program in Law, Science, and Technology, writes about ML models in a recent paper, “To perform, they must first learn how—generally, through a process of trial-and-error of epic proportions. And in order to create the right conditions for this learning process, engineers must begin by collecting and compiling enormous databases of exemplary tasks for machines to practice on, known as “training sets.”
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