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On 2 July, the French data protection supervisory authority – Commission Nationale de l’Informatique et des Libertés (CNIL) – launched a new public consultation on the development of AI systems. The public consultation is on (i) a new series of how-to sheets aimed at providing clarifications and recommendations with respect to seven issues related to the development of AI and data protection and (ii) a questionnaire on applying the GDPR to AI models trained with personal data. Below we set out a summary of the main takeaways.

1. Background: three years of legislative debate

Today, on July 12, 2024, EU Regulation No. 1689/2024 laying down harmonized rules on Artificial Intelligence (“Regulation” or “AI Act”) was finally published in the EU Official Journal and will enter into force on August 1, 2024.  This milestone is the culmination of three years of legislative debate since the EU Commission’s first proposal for a comprehensive EU regulation on AI in April 2021. [1]

On 15 January 2024, the UK Information Commissioner’s Office (“ICO”)[1] launched a series of public consultations on the applicability of data protection laws to the development and use of generative artificial intelligence (“GenAI”). The ICO is seeking comments from “all stakeholders with an interest in GenAI”, including developers, users, legal advisors and consultants.[2]

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.

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.

On 9 December 2023, trilogue negotiations on the EU’s Artificial Intelligence (“AI”) Act reached a key inflection point, with a provisional political agreement reached between the European Parliament and Council.  As we wait for the consolidated legislative text to be finalised and formally approved, below we set out the key points businesses need to know about the political deal and what comes next.

This is the first part of series on using synthetic data to train AI models. See here for Parts 23, 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.

On October 30, 2023, the G7 Leaders published a Statement on the Hiroshima Artificial Intelligence (“AI”) Process (the “Statement”).[1] This follows the G7 Summit in May, where the leaders agreed on the need to address the risks arising from rapidly evolving AI technologies. The Statement was accompanied by the Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems (the “Code of Conduct”)[2] and the Hiroshima Process International Guiding Principles for Advanced AI Systems (the “Guiding Principles”).[3]