Center for Data Innovation
@datainnovation
The Center for Data Innovation conducts independent research and formulates public policies to enable data-driven innovation in the public and private sector. 🔗datainnovation.org
The temporary shutdown of Anthropic's Fable 5 and Mythos 5 exposed major uncertainty about how—and when—the U.S. can restrict access to frontier AI models. Policymakers should replace ad hoc decisions with clear, predictable rules. Read more in our latest 👇 vist.ly/5depw
Adversarial AI distillation poses real risks to U.S. AI leadership & national security. Congress is right to address AI model theft, but proposals should better target issues while protecting open-source AI, academic research, * legitimate security testing. Our latest👇 vist.ly/5cse6
Adversarial AI distillation is a growing national security challenge—but the U.S. must respond carefully. Policymakers should strengthen enforcement, invest in technical defenses, & coordinate with allies without undermining legitimate AI innovation. Our latest analysis👇 vist.ly/59946
Successful AI adoption requires more than new tools. Cities like Washington, DC, San Jose, Seattle, and Cleveland are showing that workforce training and AI literacy are essential to turning pilots into lasting improvements in public services. More in our latest commentary👇 vist.ly/5892t
CNN’s lawsuit against Perplexity is not just another AI copyright case. Unlike training-data disputes, CNN alleges near-verbatim reproduction of its journalism through AI search products. Policymakers should favor targeted enforcement—not sweeping AI restrictions. Read more: vist.ly/575uk
The Great American AI Act draft is a step toward a coherent national framework but Congress must get the details right: strengthen independent reviews, adopt dynamic compute thresholds, refine protections of people & preemption provisions, & expand transparency. More: vist.ly/56s5e
President Trump's new executive order on AI innovation and cybersecurity is a constructive step toward addressing AI-related cyber risks while preserving America's leadership in AI innovation. Read our full statement: vist.ly/56dew
The federal CyberCorps Scholarship for Service program is being revamped into “CyberAI” —but the initiative’s success will depend on fixing government hiring bottlenecks and expanding AI-security workforce infrastructure. 🔗 Read the commentary: vist.ly/55sg8
White House officials are considering requiring advanced AI systems to be “proven safe” before release. A better approach is stronger cybersecurity, targeted safeguards, and collaborative testing. ⤵️ vist.ly/53suk
False “Made in USA” claims are a real problem. But shifting liability to online marketplaces misdirects enforcement & risks higher costs & fewer products. 🔗Our latest commentary: vist.ly/4x4p2
Sidewalk delivery robots are coming to U.S. cities, but most states are moving slowly. As Eli Clemens explains, Policymakers should study China’s approach: pilot zones, smart sidewalks, and coordinated rules. 🔗Read the analysis: vist.ly/4wper
Senator Sanders and Rep. AOC introduced a bill to halt new AI data center construction—but the case for a moratorium rests on a mix of misplaced concerns about AI safety, energy costs, and jobs. See our full statement from Hodan Omaar: vist.ly/4w8fk
Agentic commerce is nearly here. But regulation hasn’t kept up, with rules still assuming human decision-making. As Eli Clemens explains, policymakers should update these frameworks for AI-driven commerce without slowing innovation. 🔗Read the piece: vist.ly/4vveb
Utah is showing states how to regulate AI in healthcare: don’t block it—test it. Its approach helps beneficial tools reach patients, supports smarter regulation, and clarifies liability so clinicians can use AI with confidence. Our latest commentary: vist.ly/4vkym
The White House 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 Director Daniel Castro: vist.ly/4vk8z
The UK government released its Copyright and AI Report with no proposal or timeline for reaching one. While avoiding a flawed policy is better than rushing, continued inaction is unsustainable. Our statement from Policy Analyst Matthew Kilycone: vist.ly/4vcuu
The European Parliament has disabled built-in AI features on staff devices over security concerns, but bans don't reduce risk. The better path is risk-based oversight using existing EU guardrails. 🔗Read the analysis: vist.ly/4trxj
The Pentagon–Anthropic dispute shouldn't be settled in backroom contract negotiations. In Tech Policy Press, the Center's Daniel Castro explains why Congress must step in to set clear statutory boundaries for military AI use. 🔗Read the piece: vist.ly/4t5cm
At the State of the Union, President Trump announced a 'Ratepayer Protection Pledge' calling on major tech companies to build their own power plants for AI data centers — a pragmatic path that keeps costs off American households. Our full statement from Hodan Omaar: vist.ly/4sv38
AI-driven data center growth has raised concerns about household electricity costs. But the policy response matters. Hodan Omaar explains why the GRID Act misdiagnoses the problem—and how better market design can protect consumers while supporting innovation. 🔗Read the piece: vist.ly/4sbti
EU leaders are calling for an “Airbus of payment systems” to reduce reliance on Visa and Mastercard. But the EU’s payment sovereignty push would hurt consumers—addressing hypothetical risks, not real market failures. The Center's Matthew Kilcoyne explains in his latest: vist.ly/4pnuq
🚨NEW: The EU often celebrates its ability to set global rules—a phenomenon known as the Brussels Effect. But our latest report finds that this “regulatory export” comes with high costs for the Global South. Read the report: vist.ly/4p8pw
Starting now in Washington, DC📍 Leaders from government, industry, & civil society convene to advance multilateral AI partnerships in a pre-summit event we're hosting with The Dialogue ahead of the 2026 India AI Impact Summit.
New York claims its new AI safety law aligns with California’s framework. But beneath the surface, the RAISE Act introduces rules that diverge sharply—creating a patchwork that threatens national coherence in AI regulation. Hodan Omaar's latest: vist.ly/4kwtc
Europe’s ePrivacy reforms aim to ease cookie consent fatigue, but their modest tweaks arrive too late & leave the outdated opt-in model—& the friction it creates—largely intact. Daniel Castro's latest👇 https://datainnovation.org/2025/12/europes-eprivacy-reforms-come-too-late-and-go-too-small/
President Trump’s latest AI executive order sends a clear message: the U.S. needs a cohesive national framework—not a patchwork of state laws—to stay competitive. Read our full statement⤵️ https://datainnovation.org/2025/12/the-white-house-ai-order-sends-the-right-message-on-fragmented-state-laws/
The U.S. can’t lead in AI if every state writes its own rules. Federal preemption creates a single, clear framework that protects consumers, supports innovation, and keeps America competitive. Daniel Castro answers 15 FAQs showing why common objections don’t hold up.👇 vist.ly/4fy5s
President Trump’s new Genesis Mission marks a major national effort to accelerate scientific discovery with AI. The Center's Hodan Omaar highlights the unified push to speed breakthroughs that strengthen U.S. prosperity, security, and public benefit. Full statement: vist.ly/4fwyr
The EU’s new Digital Omnibus aims to simplify digital rules, but unless it confronts its flawed regulatory model, Europe will keep tweaking at the margins instead of enabling true digital innovation. Read our full statement⤵️ vist.ly/4f76s
French President Macron & German Chancellor Merz called for greater European Digital Sovereignty at today’s Franco-German Summit. Our statement: vist.ly/4e26r