Topic: Artificial intelligence

Directive (EU) 2024/2853 on liability for defective products (the Revised Product Liability Directive) was published in the Official Journal of the European Union on 18 November 2024.

The integration of Artificial Intelligence (AI), including Generative AI, into company secretarial and governance tasks, such as recording or otherwise assisting with board meeting minutes, has the potential to enhance efficiency and productivity.

On 5 November 2024, the Financial Conduct Authority (FCA) opened its AI Input Zone, through which it is inviting stakeholders to provide their views on current and future uses of artificial intelligence (AI) in UK financial services, as well as the financial services regulatory framework.

This webinar will look at the legal risks to consider when developing and using AI in the UK in 2025, including considerations for generative AI tools. It will provide an update on UK AI policy and new laws proposed. It will also look at existing cross-sectoral and sectoral laws and how they apply to AI, and the application of the EU AI Act to UK businesses.

AI adoption must now be on every board room and executive team’s agenda as an emerging area of risk and regulatory focus. This issue has been given further impetus by a number of key developments across Australia’s multi-jurisdictional landscape.

The legal industry is on the brink of transformation with the integration of Generative AI (GenAI). Understanding which AI solutions fit your practice is crucial to enhancing productivity.

On September 29, 2024, California enacted another law relating to artificial intelligence. This one is focused on the transparency in training generative AI (AB 2013), and will take effect on January 1, 2026.

The privacy-cyber world seems preoccupied with issues related to the nexus between personal data and AI. Those issues, although important, are dwarfed by a more pressing and fundamental question: can we get AI to do useful things reliably and accurately in the realm of predicting significant human outcomes, such as health, criminal propensity, credit risk etc. (“Predictive AI”)?

In response to the rapid development of artificial intelligence (AI) technologies, the Cyberspace Administration of China (the CAC) recently issued two draft regulations for public consultation: Measures for Labelling Artificial Intelligence-Generated or Synthetic Content (the Draft AI Labelling Measures) and Cybersecurity technology—Labelling method for content generated by artificial intelligence (the Draft Labelling Method Standard). The Draft Labelling Method Standard is a mandatory national standard which serves as the supporting and implementing rule of the AI Labelling Measures. Both regulations aim to address deepfake-related risks and ensure the authenticity and credibility of publicly available information.

Lord Clement-Jones has introduced a Public Authority Algorithmic and Automated Decision-Making Systems Private Members' Bill (Bill) into the House of Lords. Currently at the second reading stage, the Bill addresses increasing reliance on AI and algorithmic systems by public authorities in the UK, and aims to mitigate the potential risks associated with their use. The Bill would establish significant new guidelines for the development, deployment, and monitoring of such systems.