Source: Norton Rose Fulbright

Norton Rose Fulbright – The publication outlines the OECD’s latest paper examining intellectual property challenges related to artificial intelligence systems that are trained using scraped data. The paper discusses how traditional IP frameworks struggle to address the nuances of AI-generated outputs derived from large datasets collected from the internet. It highlights the tension between fostering innovation and protecting the rights of content creators whose work is utilized without explicit permission.

The article emphasizes the need for international cooperation to reform IP laws in light of technological advances. It outlines several proposals recommended by the OECD to update legal standards, ensuring a balanced approach that safeguards both innovation and copyright protection. Experts stress the importance of transparent data practices and accountability in the development of AI models.