Sign in Subscribe

Large Language Model (LLM)

Coverage of large language models and the legal questions surrounding their development, training, deployment, and use. Articles examine personal data, copyright, transparency, accuracy, security, bias, and accountability, alongside risks arising from generated content and humanlike interactions. Explore the responsibilities of model providers and deploying organizations, individuals’ rights, and the evolving rules governing general-purpose AI.

General-Purpose AI Models Under the EU AI Act: Classification, Obligations, and Systemic Risk

General-Purpose AI Models Under the EU AI Act: Classification, Obligations, and Systemic Risk

The EU AI Act regulates general-purpose AI at the model level. This article explains GPAI classification, provider obligations, open-source accommodations, downstream responsibilities, and the additional requirements for models that present systemic risk.

California’s Frontier AI Transparency Act: Building an Ongoing Safety and Oversight System for Powerful General-Purpose AI Models

California’s Frontier AI Transparency Act: Building an Ongoing Safety and Oversight System for Powerful General-Purpose AI Models

California’s Transparency in Frontier Artificial Intelligence Act (TFAIA) brings AI safety into legal compliance, requiring frontier developers to publish disclosures, report critical safety incidents, and—for the largest developers—adopt and follow formal AI safety frameworks.

California Defines AI: AB 2885 and Its Impact

California Defines AI: AB 2885 and Its Impact

California’s AB 2885 establishes a technology-neutral definition of artificial intelligence focused on AI systems, autonomy, inference, and outputs. This article explains the definition, how AI systems differ from AI models, where the definition applies, and what it means for AI governance.