Fair Use Vs. AI Training: Redefining Copyright Law in the Age OF Generative Models

This article analyzes the interaction between generative AI and copyright law, particularly focusing on the application of the fair use doctrine to AI model training. It explores how AI technologies, such as large language models and image generators, challenge traditional intellectual property frameworks by training on copyrighted content. The study reviews legal precedents and regulatory approaches in the United States, European Union, and the United Kingdom, emphasizing transformative use as a crucial criterion. It also evaluates the current copyright and personal data protection laws in Uzbekistan, highlighting gaps and proposing potential reforms to balance innovation with creators' rights. The author further discusses the necessity of International cooperation to address the cross-border nature of AI and copyright issues.

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