The revised Product Liability Directive (EU) 2024/2853 introduces strict liability for producers of digital and AI-based products, eases the burden of proof for consumers, and broadens the definition of liability to include a wider range of parties and product types, effective December 9, 2024.
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The European Data Protection Board’s Opinion 28/2024 clarifies the application of the EU General Data Protection Regulation to personal data processing in AI development, emphasizing transparency, accountability, and the necessity of robust anonymization measures.
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The UK Government has initiated an open consultation to explore the intersection of copyright law and artificial intelligence, focusing on a proposed exception for text and data mining for commercial AI training, while seeking to balance the interests of creators and AI developers.
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The US Commodity Futures Trading Commission (CFTC) has released an advisory emphasizing compliance with existing regulations for AI use in the derivatives trade lifecycle, guiding regulated entities in managing AI-related risks without introducing new rules.
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Hong Kong’s financial regulators advocate for a dual-track strategy to integrate artificial intelligence in the financial services sector, emphasizing the need for robust governance, data privacy, cybersecurity, and compliance with new regulations to mitigate associated risks.
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A bipartisan task force in the US House of Representatives has released a 273-page report outlining key findings and recommendations on artificial intelligence policy, addressing issues such as data privacy, intellectual property, and civil rights to guide responsible innovation and regulation.
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The California Privacy Protection Agency has proposed amendments to the California Consumer Privacy Act to enhance consumer privacy laws and address the legal and ethical considerations surrounding Automated Decision-Making Technologies in the context of agentic AI.
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The Ninth Circuit has allowed an interlocutory appeal in Doe 1 v GitHub, examining the applicability of the DMCA’s identicality requirement to AI-generated works and the use of code for training AI systems, which could reshape copyright enforcement in this context.
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Law firms are increasingly adopting generative AI technologies to enhance efficiency and user experience, while navigating emerging regulatory frameworks and ethical standards in the legal profession.
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As AI technologies advance in drug discovery, companies must navigate complex legal, ethical, and operational challenges, emphasizing the need for robust IP strategies, data protection, and compliance with anticipated regulatory guidance.
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The European AI Office has published the second draft of the General-Purpose AI Code of Practice, aimed at guiding compliance with the EU’s Artificial Intelligence Act, which introduces a risk-based regulatory framework effective from August 1, 2024, addressing key issues such as transparency, copyright compliance, and risk management for AI model providers.
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The rapid development of AI technologies necessitates comprehensive governance frameworks to address cybersecurity, disinformation, and economic inequalities while ensuring accountability and alignment with human values across jurisdictions.
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