On March 20, 2026, the White House released its National Policy Framework for Artificial Intelligence (“Framework”), outlining legislative recommendations for Congress to establish a unified federal approach to AI regulation. The Framework builds on prior executive actions, including the December 2025 Executive Order (the “Executive Order”) and the Trump administration’s “America’s AI Action Plan,” and
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On the Tenth Day of Data… Looking Back at 2025 and Ahead to NYDFS Enforcement Priorities in 2026
While 2025 may have brought questions about the level of enforcement we would see from federal regulators, there was no question that state regulators would continue to be active, especially in the financial privacy space. In 2025, we saw the New York Department of Financial Services (NYDFS) implement the final phases of amendments to its…
On the Ninth Day of Data… State of the States: This Year’s Key Privacy Law Developments Across the U.S. States
The continued absence of a comprehensive federal privacy law once again positioned state legislatures as the primary forces behind data privacy developments in the U.S. this year. In 2025, eight new comprehensive state privacy laws took effect, adding to a growing patchwork of regulations that now spans 20 states. These laws generally reinforce established standards…
On the Eighth Day of Data… AI Regulation – A 2025 Recap and a Look Ahead to 2026
In 1950, reflecting on the future of machine intelligence, Alan Turing observed: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” With several large language models, most notably OpenAI’s GPT-4.5, passing the Turing Test in 2025, some governments have taken steps towards stricter regulation this…
On the Fourth Day of Data… All is Calm, All is Bright? Securing Agentic AI Before the Lights Go Out
As 2025 draws to a close and some organizations slip into a quieter holiday rhythm, their AI systems continue humming in the background—summarizing customer inquiries, triaging security alerts, generating code, and synchronizing records across critical systems. Within that uninterrupted activity, however, lies a less festive truth: agentic AI introduces cyber risks of unprecedented complexity and…
On the Second Day of Data… Trump Attempts to Preempt State AI Regulation Through Executive Order
Following several unsuccessful attempts to secure federal preemption of state artificial intelligence regulations through Congress, President Trump turned to executive action, signing a sweeping executive order last Thursday night, entitled “Ensuring a National Policy Framework for Artificial Intelligence”. The Executive Order directs federal agencies to challenge state laws regulating AI, with the stated goals of…
On the First Day of Data… AI Integration Considerations for Asset Managers
As firms face rising data volumes, competitive pressure, and regulatory scrutiny, asset managers are increasingly turning to tools driven by artificial intelligence for everything from investment research and portfolio construction to risk modeling and operational efficiency.
In a recent whitepaper, Ropes & Gray partners Melissa Bender, Amy Jane Longo, Fran Faircloth, Megan…
R&G Tech Studio Presents: AI Innovation vs. Safety—Insights on Trump’s New Executive Order
On this episode of the R&G Tech Studio podcast, Ropes & Gray partners and co-leaders of the firm’s AI initiative, Megan Baca and Ed McNicholas, delve into the key implications of President Trump’s new AI Executive Order 14179, contrasting it with the previous Biden administration’s approach to AI regulation. They explore the nuances of AI…
Adversarial Machine Learning in Focus: Novel Risks, Straightforward Legal Approaches
The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety to AI innovation approaches, as a recent DataPhiles post examined. Another is that the privacy and cybersecurity risks such technologies pose, which this post refers to as adversarial machine learning (“AML”) risk, differ…
R&G Tech Studio Presents: Navigating AI Literacy—Understanding the EU AI Act
On this episode of the R&G Tech Studio podcast, Rohan Massey, a leader of Ropes & Gray’s data, privacy and cybersecurity practice, is joined by data, privacy and cybersecurity counsel Edward Machin to discuss the AI literacy measures of the EU AI Act and how companies can meet its requirements to ensure their teams are…