Major lawsuits in the UK, US, and EU, including Getty Images v. Stability AI and Bartz v. Anthropic, are challenging the unauthorized use of copyrighted works in AI development, prompting stakeholders to reassess legal strategies amid evolving regulations and potential impacts on innovation and intellectual property rights.
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The One Big Beautiful Bill Act, enacted on July 4, 2025, introduces extensive regulations for AI and technology companies regarding foreign influence in the supply chain, necessitating compliance with both federal and state laws while establishing robust internal controls and certification processes.
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The US Senate’s overwhelming decision to eliminate a proposed ten-year moratorium on state-level AI regulation reinforces states’ rights to enforce tailored laws addressing issues like algorithmic discrimination and deepfakes, while highlighting ongoing legislative efforts to balance innovation with public safety in the evolving AI landscape.
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Michigan State Representative Sarah Lightner has introduced two bipartisan bills aimed at enhancing safety and accountability in AI systems, including mandatory safety protocols for large AI model developers and new criminal penalties for AI misuse.
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The Trump and Biden administrations have enacted significant policy changes regarding the integration of AI into federal operations and the export of advanced technology, including the lifting of certain export controls on chip-design software and the approval of sales of advanced chips to China, highlighting the ongoing tension between national security and economic interests.
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The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), effective January 1, 2026, establishes a comprehensive regulatory framework for AI, imposing strict compliance requirements and prohibitions on discrimination, while creating a regulatory sandbox for innovation and designating the Attorney General as the sole enforcement authority.
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Various jurisdictions, including California, Colorado, and Utah, are implementing regulations to ensure transparency and consent in the use of generative AI in healthcare, raising complex legal issues related to compliance, liability, and insurance as healthcare providers navigate evolving statutory frameworks and industry guidance.
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The Responsible AI Safety and Education Act, recently passed by New York state lawmakers, establishes comprehensive regulations for large AI developers to ensure safety and accountability in the deployment of frontier models, pending the governor’s signature.
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Insurers are grappling with the complexities of defining and managing AI-related risks in cyber insurance, as businesses face potential liabilities and exclusions in their coverage amidst a rapidly evolving technological landscape.
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California, Michigan, and New York are introducing significant AI-related legislation, including safety protocols, transparency requirements, and ethical considerations, as they seek to establish frameworks for AI governance amidst concerns over federal regulatory moratoriums.
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The AI and Multimedia Authenticity Standards Collaboration (AMAS) has introduced key papers aimed at establishing international standards and regulatory frameworks to combat misinformation and disinformation related to AI-generated content, emphasizing the need for global cooperation among stakeholders, including tech companies and policymakers.
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The integration of AI in the legal field enhances efficiency but raises significant ethical concerns regarding privacy, bias, and accountability, necessitating a careful approach to its deployment by legal professionals.
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