This is the fourth and final part of series on using synthetic data to train AI models. See here for Parts 1, 2 and 3.
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 3 of 4)
This third part of our four-part series on using synthetic data to train AI models explores the interplay between synthetic data training sets, the EU Copyright Directive and the forthcoming EU AI Act.
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 2 of 4)
This second part of our four-part series on using synthetic data to train AI models explores how the use of synthetic data training sets may mitigate copyright infringement risks under EU law.
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 1 of 4)
This is the first part of series on using synthetic data to train AI models. See here for Parts 2, 3, and 4.
The recent rapid advancements of Artificial Intelligence (“AI”) have revolutionized creation and learning patterns. Generative AI (“GenAI”) systems have unveiled unprecedented capabilities, pushing the boundaries of what we thought possible. Yet, beneath the surface of the transformative potential of AI lies a complex legal web of intellectual property (“IP”) risks, particularly concerning the use of “real-world” training data, which may lead to alleged infringement of third-party IP rights if AI training data is not appropriately sourced.