Artificial Intelligence

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The rapid development of AI is introducing new opportunities and challenges to dispute resolution. AI is already impacting the document review and production process, legal research, and the drafting of court submissions. It is expected that the use of AI will expand into other areas, including predicting case outcomes and adjudicating disputes. However, the use of AI in litigation also bears risk, as highlighted by a recent First-tier Tribunal (Tax) decision, where an appellant had sought to rely on precedent authorities that, in fact, were fabricated by AI (a known risk with AI using large language models, referred to as hallucination).[1] While, in this particular case, no further consequences seemed to follow (in light of the fact that the appellant, a litigant in person, “had been unaware that the AI cases were not genuine and that she did not know how to check their validity”[2]), the Tribunal did highlight that “providing authorities which are not genuine and asking a court or tribunal to rely on them is a serious and important issue”,[3] suggesting that litigants may incur certain risks by relying on authorities suggested by AI, unless these are independently verified. On 12 December 2023, a group of senior judges, including the Master of the Rolls and the Lady Chief Justice, issued guidance on AI for judicial office holders, which, amongst other things, discourages the use of AI for legal research and analysis and highlights the risk of AI being relied on by litigants to provide legal advice and/or to produce evidence.[4]

The following post was originally included as part of our recently published memorandum “Selected Issues for Boards of Directors in 2024”.

Artificial Intelligence (AI), and in particular, generative AI, will continue to be an issue in the year to come, as new laws and regulations, agency guidance, continuing and additional litigation on AI and new AI-related partnerships will prompt headlines and require companies to continually think about these issues.

The following post was originally included as part of our recently published memorandum “Selected Issues for Boards of Directors in 2024”.

Artificial intelligence (AI) was the biggest technology news of 2023. AI continues to revolutionize business in big and small ways, ranging from disrupting entire business models to making basic support functions more efficient. Observers have rightly focused on the plentiful value-creation opportunities this new technology affords. Less attention has been given to the risks AI creates for boards and management teams, which call for sophisticated governance, operational and risk perspectives. This article identifies key areas of risk and offers suggestions for mitigation on the road to realizing the enormous benefits AI promises.

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 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.