Using Copyright-Protected Works To Train AI From The Perspective Of The Data Mining Exception Of The Finnish Copyright Act

Generative artificial intelligence ("AI") applications have become increasingly popular, raising questions about the permissibility of text and data mining for training large language models. Generative AI applications are based on machine learning techniques and neural networks. In all these approaches, machine learning models are trained with large datasets to identify patterns and correlations in the data. The effectiveness of these models heavily relies on the quality and quantity of the training data, as these factors directly influence the model's ability to refine its decision-making processes. Through iterative training, AI models learn to make accurate predictions and generate outputs based on the patterns extracted from the data. As a result, generative AI can create different types of content, such as texts, images, and videos, based on requests introduced manually by the users, called "prompts".