Copyright related risks in the creation and use of ML/AI systems
Daniel M. German
TL;DR
This paper reviews current copyright risks associated with ML/AI systems, including legal challenges and stakeholder impacts, providing an overview of ongoing US legal cases in this domain.
Contribution
It offers a comprehensive summary of copyright-related risks in ML/AI, highlighting legal issues and stakeholder concerns, with an overview of ongoing US legal cases.
Findings
Identifies key copyright risks for ML/AI stakeholders
Summarizes ongoing legal cases in the US related to AI copyright issues
Highlights the impact of copyright risks on AI development and deployment
Abstract
This paper summarizes the current copyright related risks that Machine Learning (ML) and Artificial Intelligence (AI) systems (including Large Language Models --LLMs) incur. These risks affect different stakeholders: owners of the copyright of the training data, the users of ML/AI systems, the creators of trained models, and the operators of AI systems. This paper also provides an overview of ongoing legal cases in the United States related to these risks.
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Taxonomy
TopicsLaw, AI, and Intellectual Property