Center for Data Innovation

3/ A pilot for prescription renewals shows how this works in practice—improving access while maintaining safeguards and revealing where existing rules add unnecessary friction. Our latest blog details why states should follow this model: datainnovation.org/2026/03/utah-s…

2/ Utah’s approach shows 3 advantages: 1️⃣ It helps beneficial tools reach patients 2️⃣It enables smarter, evidence-based regulation over time 3️⃣It clarifies liability through safe harbor agreements—so clinicians can use AI without risking their licenses.

States are debating how to regulate AI in healthcare. Utah offers a clear model: don’t block the technology—test it. Its regulatory sandbox lets AI tools operate under supervision, generating real-world evidence instead of relying on speculation...🧵

The @WhiteHouse has released its National Policy Framework for AI—offering Congress a clear, pro-innovation blueprint that targets real harms, supports adoption, & avoids a patchwork of state laws. Our full statement from @Castrotech: vist.ly/4vk8n

Excellent! Exactly the playbook for AI that Congress should have been working from for the past few years. Let's look at the key points. ⤵️

@MarshaBlackburn Here is our full statement from @hodanomaar ⬇️ datainnovation.org/2026/03/blackb…

The discussion draft of Sen. @MarshaBlackburn's TRUMP AMERICA AI Act aggregates a slew of heavy-handed, innovation-constraining ideas for regulating AI systems into a flawed federal framework.

Questions about AI in surveillance and autonomous targeting shouldn’t be resolved through procurement disputes. Congress should establish clear legal boundaries for military AI use. Our analysis of the Pentagon-Anthropic dispute⤵️ vist.ly/4vdic

.@GOVUK released its Copyright and AI report with no proposal or timeline. While avoiding a flawed policy is better than rushing, continued inaction is unsustainable. Our statement from @MRJKilcoyne: vist.ly/4vctu

Many built-in AI features are embedded in everyday tools: predictive text, spellcheck, and accessibility aids. The European Parliament fully restricting them limits productivity and innovation. @MRJKilcoyne explains: vist.ly/4vceg

EU Inc., a proposal to simplify starting and operating a business in Europe. Pros: Fast & cheap registration, digital processes for financing and liquidation Cons: Doesn't fix employment, tax, courts, or other regulations. No mention of AI either. Missed opportunity.

AI systems rely on publicly available data to learn, reason, and verify info. Restricting access to that data risks slowing innovation and weakening the performance of AI systems across sectors. Read more in our report on AI data policy👇 vist.ly/4v9dd

Data innovation in cybersecurity is reshaping how organizations handle security logs. @AxoFlowIO's AI-driven data layer cleans and standardizes logs before they reach SIEM platforms, improving detection while reducing data volumes & costs. 🔗Read our 5Qs with their CEO: vist.ly/4v8d6

Penalizing data centers ignores the real problem—outdated electricity markets that fail to reward shifting load. Market reform protects consumers more effectively than the GRID Act. 🔗Read the commentary: vist.ly/4v4qa

European policymakers seek independence from U.S. payment networks, but duplicating infrastructure ignores basic economics. Banks are likely to protect their existing margins rather than support a system that competes with their own revenue. Read more on EU Payment Sovereignty👇 vist.ly/4v3sf

Europe’s push for “digital sovereignty” makes sense individually but risks global tech fragmentation. Protectionism won’t make local providers competitive—it threatens efficiency, growth, & innovation. Our op-ed in World Commerce Review: vist.ly/4uucn

2/ Policymakers can protect privacy without restricting the data that powers AI—by focusing on harmful outputs, encouraging transparency for AI agents, & creating a safe harbor for responsible data use. Our latest report on publicly available data & AI: datainnovation.org/2026/03/how-ru…

🚨NEW: AI systems rely on publicly available information across the Internet to learn & reason. As governments debate AI regulation, a key question is whether developers can train models on public web data—even when it includes personal information...🧵

A dispute between Anthropic & the Pentagon over military AI use raises a core question: Who decides the limits of AI in national defense? Congress—not private contracts or executive pressure—should set the rules. Read the op-ed⤵️ vist.ly/4upv3

Data innovation in cybersecurity is helping orgs manage the vast volumes of logs that power threat detection. In 5Qs with@AxoFlowIO CEO Balázs Scheidler, he explains how the company’s platform improves data quality & strengthens security analytics. 🔗Read the interview: vist.ly/4unxj