The Global Partnership on Artificial Intelligence (GPAI) has published an updated report on algorithmic transparency instruments in the public sector, emphasizing the importance of public algorithm repositories for enhancing accountability and trust in AI governance.
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As jurisdictions worldwide, including the EU and various US states, implement new AI regulations and scrutinize M&A activities, companies must navigate compliance challenges and potential antitrust concerns while engaging in strategic partnerships and cross-border transactions.
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The rapid advancement of generative AI has exposed a significant talent gap in legal departments, necessitating proactive engagement in AI governance to mitigate regulatory, ethical, and operational risks, as highlighted by the Moffatt v. Air Canada case and the need for alignment with frameworks like the EU AI Act.
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The rapid integration of AI technologies in healthcare is creating a complex regulatory landscape in the U.S., where state and federal laws must adapt to ensure transparency, accountability, and fairness while addressing liability concerns and algorithmic bias.
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Matthew F. Ferraro has joined Crowell & Moring, bringing over a decade of experience in cybersecurity and emerging technology, focusing on regulatory matters related to artificial intelligence, data privacy, and national security, while emphasizing the need for legal professionals to stay informed about evolving regulations and technological risks.
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Organizations must establish robust governance models and data lifecycle management policies to mitigate risks associated with AI technologies like Copilot, ensuring compliance with international data protection laws while addressing the regulatory and operational challenges faced by legal departments.
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A US District Court ruled in favor of Meta in a copyright lawsuit brought by authors including Ta-Nehisi Coates and Sarah Silverman, determining that the company’s use of their works for AI training fell under the fair use doctrine, while highlighting ongoing legal uncertainties in the intersection of AI and copyright law.
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Getty Images is pursuing legal action against Stability AI in the British High Court, alleging unauthorized use of copyrighted images for AI training, while Stability AI defends its practices under fair use, raising significant questions about copyright law, trademark rights, and the ethical implications of AI development.
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US District Court Judge William Alsup ruled that while Anthropic PBC’s downloading of copyrighted works constituted infringement, its use for training large language models was deemed transformative under fair use, raising significant legal questions about data acquisition methods and the implications for AI developers and copyright holders.
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House Republicans are pushing for a 10-year federal moratorium on state-level AI regulations, facing bipartisan opposition from state leaders and legal experts concerned about potential overreach and the implications for consumer protection.
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Lawyers must navigate the complexities of AI use, particularly regarding accuracy and the doctrine of precedent, as high courts in jurisdictions like the UK, South Africa, and the US caution against reliance on AI-generated content due to risks of misinformation and hallucinations.
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The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), effective January 1, 2026, establishes regulations for AI systems in both public and private sectors, focusing on safety, transparency, and ethical considerations while promoting innovation, with enforcement by the Texas Attorney General and potential federal preemption looming.
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