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.
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.
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.
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.
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.
The newly introduced AI Action Plan seeks to reshape federal policies on artificial intelligence by reducing restrictions on technology companies, addressing state-level regulatory conflicts, and emphasizing safety and transparency, while raising legal questions about jurisdiction and compliance for organizations developing AI systems.
