The OECD, EU, and UNESCO are leading efforts to establish regulations and principles for responsible AI development, addressing key legal concerns such as data governance, privacy, bias, and cybersecurity to ensure alignment with societal values and public trust.
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As states increasingly regulate the use of AI in healthcare, new laws mandate human oversight in prior authorization processes, require transparency in AI communications, and address concerns over potential discrimination and medical necessity determinations, highlighting the need for a cohesive federal framework.
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The EU AI Act (Regulation (EU) 2024/1689) introduces a structured legal framework for artificial intelligence within the European Union, categorizing AI systems by risk, imposing strict compliance obligations on organizations, and emphasizing transparency and stakeholder engagement, with key provisions set to take effect starting August 2, 2025.
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The Trump Administration’s AI Action Plan seeks to eliminate regulatory barriers, promote investment in AI infrastructure and education, and enhance international competitiveness while emphasizing the importance of accuracy and objectivity in AI systems.
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Texas’s Responsible Artificial Intelligence Governance Act (TRAIGA), effective January 1, 2026, establishes comprehensive standards for AI accountability and governance, prohibiting discriminatory practices and promoting transparency, with enforcement by the Texas Attorney General and potential fines for violations.
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US Senators Josh Hawley and Richard Blumenthal have introduced the bipartisan AI Accountability and Personal Data Protection Act, which aims to establish new legal frameworks for AI companies regarding the unauthorized use of copyrighted materials and personal data, allowing creators to sue for infringement without prior copyright registration.
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Organizations must establish effective AI compliance programs to address varying regulations, such as the EU AI Act and state-level laws in the US, while managing legal risks associated with ethical deployment and transparency in AI technologies.
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Chuan Geng and Shiwei Yang were arrested in California for allegedly exporting advanced AI chips to China without the necessary licenses, violating the Export Control Reform Act amid heightened US-China tensions over technology transfers.
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Anthropic PBC has filed a petition for an interlocutory appeal regarding class certification in Bartz v. Anthropic, a case addressing the use of copyrighted materials in AI training, with significant implications for copyright law and the AI industry.
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The OECD AI Principles guide governments and organizations in developing trustworthy AI systems that prioritize human rights, transparency, and accountability, addressing legal and ethical challenges in the evolving landscape of artificial intelligence.
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The reintroduced TRAIN Act by Senators Blackburn, Welch, Schiff, and Hawley seeks to enhance transparency and accountability in the use of copyrighted works for training generative AI models, allowing creators to safeguard their intellectual property rights through an administrative subpoena process.
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