The Center for Data Innovation conducts independent research and formulates public policies to enable data-driven innovation in the public and private sector.
Recent rogue AI incidents have renewed calls for government-mandated kill switches.
Shutdown tools can help, but mandates could add cybersecurity and reliability risks without solving the broader control problem.
Read more in our latest commentary ⤵️
vist.ly/5jvmb
Congress doesn't need to rewrite copyright law for every AI dispute.
A narrower approach would clarify that near-verbatim AI reproduction of paywalled content falls outside fair use while preserving flexibility for AI model training.
Read more on the CNN-Perplexity dispute:
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The University of Washington’s AI minor asks students to solve a problem in their own discipline with AI—and compare the result with traditional methods.
More universities should make applied learning central to AI education.
Read more on their approach:
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The EU AI Act may be a European regulation, but its costs won’t stop at Europe’s borders.
U.S. firms supply many of the AI models and systems used across the EU, exposing them to significant compliance costs and potential fines.
A simpler approach could better support innovation on both sides of the Atlantic...🧵
ALT Woman next to text about the EU AI Act's costs to American innovation.
Communities have reasonable concerns about the electricity, water, noise, and costs associated with data centers. But blanket bans and moratoriums aren’t the answer.
President @castrotech explains how the United States can build the infrastructure needed for AI while ensuring data centers are developed responsibly.
In @NRO, Daniel Castro (@castrotech) argues that as China races to build and deploy AI, U.S. policymakers shouldn’t let AI anxiety push America toward more government control and restrictions on innovation.
Doing so risks weakening one of America’s greatest advantages: its capacity for market-driven innovation...🧵
ALT Man in suit next to text about American technological advantage.
2/ America can address real AI risks without sacrificing the economic freedom, competition, and technological ambition that made it a global innovation leader.
Read Daniel’s op-ed in @NRO:
nationalreview.com/2026/09/d…
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The biggest risk from AI may not be that it becomes too powerful.
It may be that we become so anxious about AI that we abandon the economic freedoms that made America a technological superpower.
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...🧵
ALT Headshot of a person with text about AI kill switches being insufficient.
2/ Emergency shutdown capabilities can be useful, but they are neither universally feasible nor a substitute for broader safeguards against autonomous AI.
Read more in our latest commentary by David Kertai⤵️
datainnovation.org/2026/09/a…
AI education is most useful when students can connect it to real problems in their fields.
Universities should pair AI training with domain expertise so graduates can apply the technology where they work.
See why interdisciplinary AI education matters👇
vist.ly/5iv9a
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.
@techpolicymaven explains why the standard should apply to all large electricity users.👇
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ALT Michelle Lopes Maldonado with a quote about customer cost responsibility on an orange background.
AI safety matters. So does AI progress.
The real challenge is building systems that become more capable and more reliable over time.
Putting the brakes on AI development would also slow the very research, testing, and deployment that can make AI safer.
How can lawmakers make AI chatbots safer for kids without limiting their benefits?🤔
Policy Analyst @alexitif breaks down 5 steps policymakers can take—from empowering parents and improving digital literacy to targeted safeguards, transparency, and continued research. ⬇️
Anthropic researcher @hilbertspaess resigned this month, warning that people building advanced AI believe it could “kill us all” by the end of the decade. Other AI leaders have called for slowing frontier development.
But frightening scenarios are not evidence that catastrophe is likely...🧵
ALT Man in a suit next to a quote about AI safety from Daniel Castro.
2/ AI poses real risks that can be measured and studied, from cyberattacks and fraud to unexpected agent behavior. Those risks warrant serious investment in security, testing, monitoring, and accountability.
And continued AI progress could give researchers better tools to manage those risks.
3/ Slowing AI development would also carry costs, while a global slowdown would be difficult to coordinate or enforce.
@Castrotech explains in his latest👇
datainnovation.org/2026/09/t…
📣 We're excited to welcome @patrickgrady_ to the ITIF team as Head of EU Tech Policy!
Based in Brussels, Patrick brings expertise in EU digital and technology policy and will help strengthen ITIF’s work in shaping the transatlantic tech policy debate.
ALT Smiling man in front of Capitol dome with text about ITIF.
As the House prepares to vote on legislation aimed at protecting ratepayers from data center costs, the broader debate over AI infrastructure is only growing.
As @castrotech explains, data centers are the factories of the AI economy.
If America wants to lead in AI, the question isn’t whether to build them—it’s how to build them responsibly while protecting consumers and ensuring communities benefit. 👇
Preparing for the AI economy means reaching students and today’s workers alike.
Universities should integrate AI across disciplines, while policymakers support flexible training that helps workers continually build practical skills.
Read our workforce strategy:
vist.ly/5ibb6