This report examines recent developments at the intersection of AI and intellectual property rights, with a particular focus on data scraping practices. It provides an overview of the role of data scraping in AI training, current legal frameworks and stakeholder perspectives, as well as preliminary considerations and potential policy approaches to help guide policymakers in navigating these issues and facilitate a greater understanding of data scraping.
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