AI Regulation
Siri AI EU Delay: What Apple’s DMA Dispute Means for AI Product Launches
Apple’s Siri AI delay in the EU turns a product rollout into a compliance-design dispute over DMA obligations, user data, app control, and platform access.
AI Regulation
Apple’s Siri AI delay in the EU turns a product rollout into a compliance-design dispute over DMA obligations, user data, app control, and platform access.
AI Governance
The June 2026 AI executive order directs agencies to build a voluntary covered frontier model framework, including classified benchmarking and limited federal access before release to trusted partners.
AI Governance
A House letter asks major AI companies how election-related chatbot answers are sourced, audited, labeled, and corrected before the 2026 midterms.
AI Regulation
Apple’s proposed Siri AI settlement shows why AI feature claims need evidence tied to shipped functionality, timing, and availability.
State AI Laws
Connecticut SB 5 is now law. Here’s how AI governance teams should map employment AI, AI companions, provenance, frontier-model controls, and preemption-sensitive obligations.
AI Governance
OpenAI shut down the Sora consumer app after securing Disney as its first major licensing partner. The shutdown is an early signal that licensed AI video may face higher governance burdens, not fewer — and that rights clearance does not equal product durability.
AI Regulation
New York’s warning on prediction markets reframes regulatory risk away from gambling labels and toward how probabilistic outputs function, influence behavior, and are relied upon in real decision contexts.
Regulatory Intelligence
Even when AI and policy rules are public, organizations still get caught off guard. The real risk is execution lag — not lack of awareness — as regulatory expectations move faster than internal compliance cycles.
AI Regulation
The White House’s latest AI Executive Order doesn’t preempt state laws on paper — it sidelines them in practice by pairing DOJ litigation with federal funding leverage, quietly centralizing AI governance at the federal level.