Introduction to Copyright and AI

The United States Copyright Office has released a report on the use of copyrighted materials for training generative AI. This report outlines the legal and factual case that identifies copyright risks at every stage of generative AI development. The report was created in response to public and congressional concern about the use of copyrighted content, including pirated versions, by AI systems without first obtaining permission.

What the Report Says

The report offers four reasons why AI technology companies should be concerned about copyright infringement:

1. Data Acquisition and Training: The report states that many acts of data acquisition, the process of creating datasets from copyrighted work, and training could “constitute prima facie infringement.”
2. Copying and Reproduction: It challenges the common industry defense that training models does not involve “copying,” noting that the process of creating datasets involves the creation of multiple copies, and that improvements in model weights can also contain copies of those works.
3. Right of Reproduction: It states that the training process implicates the right of reproduction, one of the exclusive rights granted to copyright holders, and emphasizes that memorization and regurgitation of copyrighted content by models may constitute infringement, even if unintended.
4. Transformative Use: The report acknowledges that “some uses of copyrighted works in AI training are likely to be transformative,” but it “disagrees” with the argument that AI training is transformative simply because it resembles “human learning,” such as when a person reads a book and learns from it.

Copyright Implications At Every Stage of AI Development

The report says that there may be copyright issues at every stage of the AI development process. These stages include:

• Data Collection and Curation: The steps required to produce a training dataset containing copyrighted works clearly implicate the right of reproduction.
• Training: The training process also implicates the right of reproduction, as it requires copying the dataset and creating temporary reproductions of works.
• RAG (Retrieval-Augmented Generation): RAG involves the reproduction of copyrighted works, either by copying material into a retrieval database or retrieving material from external sources.
• Outputs: Generative AI models sometimes output material that replicates or closely resembles copyrighted works, which can infringe the reproduction right and the right to prepare derivative works.

Takeaways

The report highlights several key points:

• AI Training And Copyright Infringement: Both data acquisition and model training can involve unauthorized copying, possibly constituting “prima facie infringement.”
• Rejection Of Industry Defenses: The Copyright Office disputes common AI industry claims that training does not involve copying and that AI training is analogous to human learning.
• Fair Use And Transformative Use: The report disagrees with the broad application of transformative use as a defense, especially when based on comparisons to human cognition.
• Concern About All Stages Of AI Development: Copyright concerns are identified at every stage of AI development, from data collection to model outputs.
• Memorization and Model Weights: The Office warns that AI models may retain copyrighted content in weights, meaning even use or distribution of those weights could be infringing.
• Output Reproduction and Derivative Works: The ability of AI to generate near-identical outputs raises concerns about violations of both reproduction and derivative work rights.

Conclusion

The U.S. Copyright Office report describes multiple ways that generative AI development may infringe copyright law, challenging the legality of using copyrighted data without permission at every technical stage. It rejects the use of the analogy of human learning as a defense and the industry’s broad application of fair use. Although the report doesn’t have the same force as a judicial finding, it can be used as guidance for lawmakers and courts. The report’s findings have significant implications for the development and use of generative AI, and highlight the need for AI companies to carefully consider copyright issues in their development processes.