Center for Data Innovation

The Center for Data Innovation conducts independent research and formulates public policies to enable data-driven innovation in the public and private sector.

[Center for Data Innovation @DataInnovation]

AI model security should become a core pillar of U.S. cyber defense.

Congress and the administration should combine targeted laws with technical investment and allied cooperation to counter adversarial distillation without isolating U.S. innovators.

Read the full strategy:
https://t.co/nQyx3zCGFt

[Center for Data Innovation @DataInnovation]

AI can help agricultural supply chains detect disruptions before harvest. 🚜

In our 5Qs series, Catharina van Delden, CEO of Finches, explains how weather and satellite data can flag crop disease and quality risks early enough for companies to act.

🎙️ Read the interview:
https://t.co/QxeiYRVF7d

[Center for Data Innovation @DataInnovation]

AI's impact on employment may be showing up in hiring decisions rather than layoffs.

@Stanford researchers found that employment among workers ages 22–25 in highly AI-exposed occupations was 19% below the level implied by trends among less-exposed peers, largely reflecting reduced hiring.

Federal labor statistics need to capture these shifts in hiring, job openings, and occupational demand—not just changes in total employment.

Read more👇
https://t.co/p2dv3TbrXP

[Patrick Grady @patrickgrady_]

EU Kids Act Bulletin 3️⃣

In this edition: the EU pauses national social media initiatives, NGOs call for a tech-neutral approach to the KIDS ACT, and the EU’s parallel Digital Fitness Act is imminent.

https://t.co/E3j6m3nfhB

[Daniel Castro @castrotech]

Environmental groups are increasingly using AI to monitor wildfires, analyze climate data and protect endangered species. The technology they are being told is an environmental threat is also proving useful in addressing environmental challenges.

https://t.co/VmwenY9RSh

[Center for Data Innovation @DataInnovation]

France's Mistral AI and Germany's Black Forest Labs show Europe's potential in open-weight AI models.

The EU should build on these strengths by creating conditions for a globally connected open-model ecosystem.

Here's what that would take:
https://t.co/B8ciRbjloZ

[Center for Data Innovation @DataInnovation]

Data centers can create jobs, generate investment, and expand economic opportunities, just as clean energy projects do.

Democrats should recognize these benefits while ensuring local communities share in them.

We explain the parallels ⤵️
https://t.co/vcyeAHcM7z

[Center for Data Innovation @DataInnovation]

AI-powered video analysis can help coaches make more data-driven decisions.

In our 5Qs series, Ismail Baran, CEO of HITAI, explains how tracking strikes, defensive actions, and fatigue patterns can improve athlete evaluation.

🎙️Read the interview:
https://t.co/2WgZMUrL8w

[Center for Data Innovation @DataInnovation]

Open-source AI models can be adapted to specific languages, industries, and applications.

That plays to Europe's strengths in research and specialized industries without requiring massive frontier AI labs.

Here's how Europe could benefit👇
https://t.co/tTUnKrrxcH

[Center for Data Innovation @DataInnovation]

@TechPolicyMaven 2/ Federal agencies should track AI adoption over time, link it to hiring and wage data, add AI-related questions to labor surveys, and leverage private-sector data to better understand how AI is reshaping work.

Read more in our latest👇
https://t.co/b1QsbrGc1M

[Center for Data Innovation @DataInnovation]

A new Census Bureau survey found that 18% of U.S. businesses use AI, representing 32% of employment.

But these figures tell us little about how AI is changing workers’ tasks, hiring, wages, or productivity...🧵

[Center for Data Innovation @DataInnovation]

A government-mandated AI kill switch may sound like a straightforward safeguard against rogue AI agents.

But it could introduce new cybersecurity risks without solving the underlying problem of controlling autonomous systems.

Read why👇
https://t.co/JE4gW5raTE

[Center for Data Innovation @DataInnovation]

AI model theft can cross borders and jurisdictions, limiting the reach of U.S. sanctions.

The United States should work with allies such as the UK, Japan, Canada, and France to establish common norms against state-backed theft.

Learn why international coordination matters👇
https://t.co/1LNlNpYjfC

[Center for Data Innovation @DataInnovation]

States shouldn't have to reinvent the rules for evaluating data-center projects.

A common, industry-informed framework would help officials assess costs, benefits, and public incentives consistently.

Read the policy proposal👇
https://t.co/0pgQIgi3N4

[Center for Data Innovation @DataInnovation]

Calls to slow AI often cite catastrophic risks, but assigning precise extinction probabilities lacks an empirical basis.

Policymakers should distinguish measurable risks from speculative scenarios.

Read our case for evidence-based AI safety👇
https://t.co/Mcoa7Z47vh

[Center for Data Innovation @DataInnovation]

Building a world-leading closed AI model could cost Europe over €800 billion in three years.

Rather than concentrating resources on that race, the EU should prioritize a thriving open-model ecosystem.

🔗 The case for doing so:
https://t.co/xIYOWerB0i

[Center for Data Innovation @DataInnovation]

Computer vision is making sports analytics more accessible without costly sensors or specialized equipment. 🚴‍♂️

In our latest 5Qs, Ismail Baran, CEO of HITAI, explains how AI turns single-camera footage into measurable performance data.

🔗 Read the interview:
https://t.co/Wc8TlqTmhz

[Center for Data Innovation @DataInnovation]

Existing laws can punish some attempts to circumvent AI access controls, but they are poorly suited to coordinated campaigns run from abroad.

The U.S. needs better intelligence sharing, enforcement, and allied coordination.

More on the gaps in current law👇
https://t.co/ZxA8yMGMC4

[Center for Data Innovation @DataInnovation]

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[Center for Data Innovation @DataInnovation]

Data centers can bring substantial investment, but that alone doesn't justify public subsidies.

States need a consistent way to determine whether economic benefits outweigh costs to taxpayers.

Explore our proposed framework👇
https://t.co/oEB76qo5bl