AI Training Data and the Fair Use Doctrine: Navigating Copyright Law
AI Training Data and Copyright Controversy
The crux of the matter revolves around the utilization of copyrighted works to train AI models. Legal scholars, including Mark Lemley, Dan Cahoy, and Lynda Oswald, propose that the training data for AI learning should be permitted under the 'fair use' doctrine. This principle is highlighted as essential in ongoing generative AI litigation.
The Fair Use Doctrine in AI Regulation
Experts like Rebecca Tushnet advocate that the fair learning principle should apply to current AI regulation, suggesting that legal frameworks must evolve to accommodate advancements in technology. By recognizing AI's distinct nature in using training data, the legal system can provide a balanced approach that encourages innovation while respecting copyright laws.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.