Copyright related risks in the creation and use of ML/AI systems

Autor: German, Daniel M.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv