Artificial Intelligence (AI)

On July 14, 2026, the Trump Administration announced the launch of a federal clearinghouse, “Gold Eagle,” that is designed to facilitate the sharing of AI-derived cybersecurity vulnerability information between government agencies, “American critical infrastructure companies,” and “open-source software partners.”  

Continue Reading White House Launches “Gold Eagle” AI Cybersecurity Clearinghouse

On June 2, 2026, Colorado Governor Jared Polis vetoed HB 26-1210, a bill that would have imposed requirements for use of “surveillance data” to set individualized prices for consumers or individualized wage setting for workers. The veto is yet another action in a trend of bills focused on regulating “surveillance” or “dynamic” pricing.

Continue Reading Colorado Governor Vetoes Overly Broad Algorithmic Pricing and Wage Setting Bill

This update highlights key legislative and regulatory developments in the second quarter of 2026 related to artificial intelligence (“AI”), connected and automated vehicles (“CAVs”), and Internet of Things (“IoT”).

Continue Reading U.S. Tech Legislative & Regulatory Update – Second Quarter 2026

On July 6, 2026, Illinois Governor JB Pritzker signed into law SB 315, a frontier model safety act that resembles the New York RAISE Act, discussed in our prior blog post here, and California’s Transparency in Frontier Artificial Intelligence Act (TFAIA), discussed in our prior blog post here. The law takes effect January 1, 2027, with transparency-reporting and audit obligations beginning January 1, 2028.  Similar to the New York and California laws, SB 315 will apply to frontier developers (i.e., persons that train, or initiate the training of, a frontier model using computing power greater than 10^26 integer or floating point operations), with certain provisions applicable only to large frontier developers (i.e., frontier developers with annual gross revenue over $500 million in the preceding year). SB 315 also includes public safety disclosure and reporting requirements. Notably, SB 315 also imposes a third-party audit requirement not found in either the New York or the California law.

Continue Reading Illinois Enacts Frontier Model Safety Law

On June 4, Representatives Jay Obernolte (R-CA) and Lori Trahan (D-MA) released a sweeping discussion draft of their Great American Artificial Intelligence Act. The latest bipartisan AI legislation quickly met bipartisan skepticism, particularly concerning the draft’s approach to federal preemption of state AI rules, with many House Democrats opposing the broad preemption for frontier model developers, while many House Republicans and other stakeholders lamented the bill’s omission of preemption for state laws reaching other parts of the AI ecosystem. 

The bill would also establish mandatory disclosure and risk-mitigation requirements for frontier models and task the Center for Artificial Intelligence Standards and Innovation (CAISI) at the National Institute of Standards and Technology (NIST) with oversight of federal AI-related research and analysis, standards and guidelines development, and risk-mitigation activities.  

Continue Reading Backlash to Bipartisan AI Omnibus Illustrates Preemption Impasse

Executive Summary

2026 has been a dynamic year so far for federal regulation of automotive safety. Federal regulators have demonstrated a sustained commitment to regulatory reform and innovation, while simultaneously advancing efforts to facilitate the deployment of autonomous vehicles. Congress has also renewed its focus on vehicle safety and automation

Continue Reading Federal Vehicle Safety at Midyear: Regulatory Relief, Legislative Momentum, and the Road to the Broader AV Deployment

Since our prior post on Singapore’s Model AI Governance Framework for Agentic AI, Singapore’s Infocomm Media Development Authority (“IMDA”) has published an updated version (Version 1.5) (the “Updated Framework”), incorporating feedback from over 60 organizations.

The Updated Framework, published on May 20, 2026, retains the same four-pillar structure—(1) assess and bound the risks upfront, (2) make humans meaningfully accountable, (3) implement technical controls and processes, and (4) enable end-user responsibility—but expands the guidance in several notable respects. These include a new discussion of multi-agent systemic risks, more granular guidance on technical controls, and real-world case studies illustrating how the Framework can be applied across sectors. We summarize some of the key updates below.

Continue Reading Singapore Updates Model AI Governance Framework for Agentic AI

The UK Government today announced that it intends to ban social media platforms from offering services to children under 16, alongside wider restrictions on certain online functionalities that the Government has identified as harmful to children.

The announcement follows the conclusion of the Department for Science, Innovation and Technology’s (“DSIT”) consultation, “Growing up in the online world,” which received more than 116,000 responses (we originally wrote about that consultation here). The Government intends to bring the first regulations to Parliament before the end of the year using powers created by the Children’s Wellbeing and Schools Act 2026 (“CWSA”), with protections expected to come into force in Spring 2027. Today’s announcement is the latest in a series of significant developments reshaping the UK’s online safety framework. We summarize some of these latest developments below.

Continue Reading Online Safety in the UK: Social Media Ban for Under 16s and Other Recent Developments

On 3 June 2026, the European Commission (“Commission“) published its proposal for a Regulation establishing a framework of measures for strengthening Europe’s cloud and AI ecosystem—the Cloud and AI Development Act (“CADA Proposal“). The CADA Proposal sits at the heart of the Commission’s broader Tech Sovereignty Package (which we describe at a high level here), and aims to address what the Commission perceives as two critical vulnerabilities in the EU’s digital landscape: a structural deficit in data centre capacity and a dependence on a limited number of non-EU cloud computing service providers.

Continue Reading The EU Cloud and AI Development Act in Depth

On 19 May 2026, the European Commission published its long-awaited draft, non-binding guidelines on the classification of high-risk AI systems (“HRAIs”) under the EU AI Act (the “Guidelines”). Across three documents—covering general principles, high-risk classification in the context of regulated products (Annex I), and high-risk use cases (Annex III)—the Commission sets out its approach to one of the AI Act’s central questions: when does an AI system fall within the high-risk regime (and, just as importantly, when does it not)?

Continue Reading EU AI Act Update: The European Commission Publishes Draft Guidelines on HRAIs