Fair Use

Fair use, in the context of artificial intelligence, examines the legal and ethical implications of using copyrighted data to train AI models, particularly large language models and generative AI. Current research focuses on developing technical methods to mitigate copyright infringement risks, such as watermarking and access control mechanisms, and analyzing the efficacy of existing legal frameworks like fair use in the context of AI-generated outputs. This research is crucial for balancing the advancement of AI technology with the protection of intellectual property rights, impacting both the legal landscape and the responsible development of AI systems.