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Center for Data Innovation

@datainnovation.org
329 followers 119 following 105 posts

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

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Center for Data Innovation @datainnovation.org · 30/09/2026
Europe has made open-source AI central to its tech sovereignty push. But while it cannot match U.S. and Chinese closed frontier models, it can lead in open AI. The EU should remove regulatory and procurement barriers and build a global open-model ecosystem.👇 vist.ly/5kha2
Patrick Grady smiling with text about Europe's open-source AI bet.
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Center for Data Innovation @datainnovation.org · 29/09/2026
Opposition to data centers is growing, but many concerns mirror those Democrats have faced with wind & solar projects. The lesson was to address legitimate concerns while allowing investment to proceed. Dems should apply the same approach to data centers.👇 vist.ly/5kcbv
Man in suit next to commentary text on data centers and clean energy.
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Center for Data Innovation @datainnovation.org · 18/09/2026
AI kill switches sound like a straightforward way to stop rogue AI systems. But mandating them could introduce new cybersecurity and reliability risks—and still fail to address the broader challenge of containing autonomous AI. David Kertai explains in his latest commentary: vist.ly/5i275
Man in a suit next to text about AI kill switches and policy.
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Center for Data Innovation @datainnovation.org · 17/09/2026
The House passed the Ratepayer Protection Act 417–3, sending the bill to the Senate. But while the bill gets the core principle right—large electricity users should pay the grid costs they create—it shouldn’t single out data centers. Read our statement on the passage👇 vist.ly/5ita5
Michelle Lopes Maldonado with a quote about customer cost responsibility on an orange background.
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Center for Data Innovation @datainnovation.org · 16/09/2026
Leading AI researchers & executives are warning of catastrophic AI risks & some are calling for slowing development. But frightening scenarios are not evidence that catastrophe is likely. Policymakers should distinguish what is known from what is merely feared. Read more👇 vist.ly/5ippn
Man in a suit next to a quote about AI safety from Daniel Castro.
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Center for Data Innovation @datainnovation.org · 07/09/2026
The backlash to data centers focuses heavily on what communities might lose. Daniel Castro argues they should consider what they stand to gain: tax revenue, skilled-trade jobs, new infrastructure and lower costs for ratepayers. vist.ly/5hixq
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Center for Data Innovation
Center for Data Innovation
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Center for Data Innovation @datainnovation.org · 28/08/2026
AI’s frontier is moving. The law should move with it. Fixed compute thresholds are already aging poorly. Policymakers should define frontier AI by capabilities and real risk—not yesterday’s FLOP count. vist.ly/5gi6c
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AI’s Frontier Is Moving. Its Legal Definition Should Too
Policymakers are increasingly concerned about “frontier models,” a term meant to identify a small group of highly-capable general-purpose models that could pose unusually serious risks, such as mass casualties or billion-dollar damage. Lawmakers are seeking to define the category so they can impose additional safety requirements on these models. But drawing that line is not...
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Center for Data Innovation @datainnovation.org · 18/08/2026
Data innovation can help R&D teams avoid costly dead ends. In our 5Qs, Maria Paola de Salvo, CEO of EasyTelling, explains how AI can assess scientific evidence and flag approaches unlikely to work before organizations invest more resources. 🔗 Read the interview: vist.ly/5f8xe
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5 Q’s with Maria Paola de Salvo, CEO of EasyTelling
The Center for Data Innovation recently spoke with Maria Paola de Salvo, CEO of EasyTelling, a Brazil-based company developing an AI-powered platform that translates scientific research into practical applications. De Salvo explained how EasyTelling uses its proprietary Knowledge Translation methodology to help organizations find relevant research, assess its strength, and identify ways to apply scientific...
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Center for Data Innovation @datainnovation.org · 11/08/2026
Data innovation is helping schools scale personalized learning. 📖 In our 5Qs series, Alex Southmayd of Bloomy explains how AI, diagnostic data, and knowledge graphs can identify skill gaps and guide students toward prerequisite concepts. Read the interview⤵️ vist.ly/5edn6
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5 Q’s with Alex Southmayd, Founder of Bloomy
The Center for Data Innovation recently spoke with Alex Southmayd, founder of Bloomy, a New York-based company developing an AI-powered learning platform for K–12 education. Southmayd explained how Bloomy uses an AI system to deliver personalized instruction, guide students through one-on-one tutoring, and provide teachers with insights into students’ learning. David Kertai: What problem is...
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Center for Data Innovation @datainnovation.org · 03/08/2026
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
Woman smiling and text commentary on AI shutdown authority.
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Center for Data Innovation @datainnovation.org · 28/07/2026
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
Woman smiling beside text discussing the AI Model Theft Bill.
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Center for Data Innovation @datainnovation.org · 26/06/2026
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
Smiling person with short gray hair next to a quote on AI defense.
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Center for Data Innovation @datainnovation.org · 18/06/2026
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
Man in a suit with commentary about AI and workforce upskilling.
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Center for Data Innovation @datainnovation.org · 09/06/2026
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
A professional commentary on the CNN-Perplexity lawsuit by Michelle Lopes Maldonado, emphasizing AI and law.
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Center for Data Innovation @datainnovation.org · 05/06/2026
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
A professional statement highlighting the importance of the Great American AI Act, featuring a smiling woman. The orange background adds a warm tone.
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Center for Data Innovation @datainnovation.org · 02/06/2026
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
Statement from Michelle Lopes Maldonado on an executive order addressing AI cybersecurity risks. The mood is professional and informative.
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Center for Data Innovation @datainnovation.org · 28/05/2026
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
Image featuring commentary on adapting CyberCorps SFS to AI threats for cybersecurity, highlighting workforce development. The mood is professional and forward-thinking.
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Center for Data Innovation @datainnovation.org · 18/05/2026
Countries where more manufacturing firms use AI also tend to be more productive. Across 26 OECD nations, we found a strong relationship between AI adoption in manufacturing and GDP per hour worked in 2024. 🔗 Read the analysis from Policy Analyst Trelysa Long: vist.ly/54mnp
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AI Is a Productivity Engine for the US Economy
In recent months, critics of artificial intelligence (AI) have increasingly argued that the technology threatens the economy by destroying jobs, exacerbating income inequality, and even catastrophically collapsing consumer demand. These misguided fears underpin calls to pause AI development and depl
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Center for Data Innovation @datainnovation.org · 11/05/2026
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
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Center for Data Innovation @datainnovation.org · 29/04/2026
Lawmakers in NJ, OK, and TN are targeting “algorithmic” pricing in grocery retail—but risk missing the mark. These tools reflect supply and demand, not unfair practices. Policymakers should focus on deceptive pricing, not restrict tools that can benefit consumers ⤵️ vist.ly/42ahg
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States Are Targeting the Wrong Problem in Grocery Pricing
A container of strawberries nearing expiration is discounted, allowing a customer to save money while the store reduces food waste. A supply shock—such as avian flu—drives up egg costs, and retailers adjust prices accordingly. These are routine examples of how prices respond to supply and demand. Ye
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Center for Data Innovation @datainnovation.org · 27/04/2026
Japan’s draft AI IP code would require developers to trace how specific content is used in training—something not technically feasible for modern AI. Our latest piece details why it should revise the code to focus on workable solutions: vist.ly/4zzsu
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Japan’s Draft AI IP Code Misses the Mark, Undermining US Alignment
Japan has spent years building a well-earned reputation as one of the world's most thoughtfully calibrated AI regulatory regimes. Its AI Promotion Act, enacted in 2025, is explicitly pro-innovation, and the Hiroshima AI Process, launched under Japan's G7 presidency, helped set the tone for voluntary
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Center for Data Innovation @datainnovation.org · 06/04/2026
AI data centers aren’t the real problem—outdated policy frameworks are. Smarter measurement, better market design, & more modern grid management can address these challenges without slowing innovation. 🔗 Our new report breaks down the top five concerns & what to do instead: vist.ly/4xfuh
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Five Concerns About AI Data Centers, and What to Do About Them
For decades, data centers were the quiet, reliable engines of the information economy, operating in the background of global commerce and daily life. But with the rise of artificial intelligence (AI), these facilities have been thrust into the public and political spotlight. Concerns continue to gro
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Center for Data Innovation @datainnovation.org · 02/04/2026
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
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Center for Data Innovation @datainnovation.org · 30/03/2026
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
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Center for Data Innovation @datainnovation.org · 26/03/2026
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
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Center for Data Innovation @datainnovation.org · 23/03/2026
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
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Center for Data Innovation @datainnovation.org · 20/03/2026
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
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Center for Data Innovation @datainnovation.org · 20/03/2026
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
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Center for Data Innovation @datainnovation.org · 18/03/2026
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
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Center for Data Innovation @datainnovation.org · 13/03/2026
🚨NEW: AI systems rely on publicly available information across the Internet to learn and reason. Our latest report from Daniel Castro explains how policymakers can protect privacy without restricting the data that powers innovation. 🔗Read the analysis: vist.ly/4utd9
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🚨NEW: AI systems rely on publicly available information across the Internet to learn and reason. Our latest report from Daniel Castro explains how policymakers can protect privacy without restricting the data that powers innovation. 🔗Read the analysis: vist.ly/4utd9
🚨NEW: AI systems rely on publicly available information across the Internet to learn and reason. Our latest report from Daniel Castro explains how policymakers can protect privacy without restricting the data that powers innovation. 🔗Read the analysis: vist.ly/4utd9
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Center for Data Innovation @datainnovation.org · 04/03/2026
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
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Center for Data Innovation @datainnovation.org · 27/02/2026
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
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Center for Data Innovation @datainnovation.org · 25/02/2026
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
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Center for Data Innovation @datainnovation.org · 24/02/2026
AI is spreading across government. 80% of public servants say it empowers their daily work. 📈 But impact depends on leadership support, clear guidance, & access to approved tools. More in our Public Sector AI Adoption Index⤵️ vist.ly/4srdv
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Public Sector AI Adoption Index 2026
Governments are entering a critical phase in the adoption of AI. It is already contributing to everyday public sector work, and the question is no longer whether to adopt AI, but how to do so both effectively and responsibly.The opportunity—if governments get this right—is vast. Many leaders recog
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Center for Data Innovation @datainnovation.org · 20/02/2026
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
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Center for Data Innovation @datainnovation.org · 19/02/2026
Data innovation in drug discovery is reshaping chronic disease treatment. In our latest 5Qs, we spoke with Naren Tallapragada, CEO of Tessel Biosciences, on how AI-driven insights into human cells are guiding more effective therapies. Read the full interview: vist.ly/4s7sd
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5 Q’s with Naren Tallapragada, CEO of Tessel Biosciences
The Center for Data Innovation recently spoke with Naren Tallapragada, CEO of Tessel Biosciences, a Massachusetts‑based company using AI to advance drug discovery for complex diseases. Tallapragada described why chronic diseases are so difficult to treat, given their biological complexity and patien
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Center for Data Innovation @datainnovation.org · 29/01/2026
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
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Center for Data Innovation @datainnovation.org · 26/01/2026
🚨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
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Center for Data Innovation @datainnovation.org · 20/01/2026
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.
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Center for Data Innovation @datainnovation.org · 19/01/2026
📢 TOMMORROW, Jan 20 at 12 PM ET: Join us & The Dialogue for a D.C. pre-summit convening focused on closing the global AI divide through stronger multilateral partnerships ahead of the 2026 India AI Impact Summit. Free registration👇 vist.ly/4nedt
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Advancing Multilateral AI Partnerships: A Pre-Summit Event for 2026 AI Impact Summit
Ahead of the 2026 AI Impact Summit in New Delhi, the Center for Data Innovation and The Dialogue are convening an official pre-summit event, sponsored by Google, in Washington, D.C., on January 20, 2026.The India AI Impact Summit is a global summit that seeks to move AI cooperation beyond high-l
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Center for Data Innovation @datainnovation.org · 13/01/2026
📢 Next Tuesday, Jan 20 @ 12 PM ET: How can AI cooperation move from principles to real-world impact? Join us and The Dialogue in Washington, D.C., for a pre-summit discussion, sponsored by Google, feeding directly into the 2026 India AI Impact Summit. Details + registration ⬇️ vist.ly/4mmib
datainnovation.org
Advancing Multilateral AI Partnerships: A Pre-Summit Event for 2026 AI Impact Summit
Ahead of the 2026 AI Impact Summit in New Delhi, the Center for Data Innovation and The Dialogue are convening an official pre-summit event, sponsored by Google, in Washington, D.C., on January 20, 2026.The India AI Impact Summit is a global summit that seeks to move AI cooperation beyond high-l
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Center for Data Innovation @datainnovation.org · 07/01/2026
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
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Center for Data Innovation @datainnovation.org · 07/01/2026
🗓️Tuesday, Jan 20 @ 12 PM ET: Ahead of the #IndiaAIImpactSummit2026, join us & The Dialogue in Washington, D.C. for an in-person pre-summit event on advancing multilateral AI partnerships & closing the global AI divide. Free registration⤵️ vist.ly/4kvjc
datainnovation.org
Advancing Multilateral AI Partnerships: A Pre-Summit Event for 2026 AI Impact Summit
Ahead of the 2026 AI Impact Summit in New Delhi, the Center for Data Innovation and The Dialogue are convening an official pre-summit event in Washington, D.C. on January 20, 2026.The India AI Impact Summit is a global summit that seeks to move AI cooperation beyond high-level principles toward
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Center for Data Innovation @datainnovation.org · 16/12/2025
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👇 datainnovation.org/2025/12/europes-…
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Center for Data Innovation @datainnovation.org · 12/12/2025
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⤵️ datainnovation.org/2025/12/the-whit…
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Center for Data Innovation @datainnovation.org · 25/11/2025
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
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Center for Data Innovation @datainnovation.org · 25/11/2025
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
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Center for Data Innovation @datainnovation.org · 20/11/2025
🚨STARTING NOW: Join us for an expert panel discussion on how workplace tech—like wearables, sensors, and automation—can improve safety, health, and productivity, and the policies needed to support adoption. Watch here👇 vist.ly/4fbph
datainnovation.org
Improving Workplaces With Data and Technology
Data-rich technology is reshaping workplaces across industries—from factories and logistics centers to offices and hospitals. Wearable health monitors, environmental sensors, and automated tracking systems can protect workers from injury, reduce fatigue, and enhance overall workplace experience and
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Center for Data Innovation @datainnovation.org · 19/11/2025
📆TOMORROW, Nov 20, 10 AM EST: Workplace tech shouldn’t just be about surveillance fears. Join us as our virtual expert panel discusses how balanced policies can help workers benefit from health monitors, environmental sensors, and automation. Register below: vist.ly/4f7x5
datainnovation.org
Improving Workplaces With Data and Technology
Data-rich technology is reshaping workplaces across industries—from factories and logistics centers to offices and hospitals. Wearable health monitors, environmental sensors, and automated tracking systems can protect workers from injury, reduce fatigue, and enhance overall workplace experience and
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Center for Data Innovation @datainnovation.org · 19/11/2025
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
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