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]

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.

Our analysis of the CNN-Perplexity copyright suit⤵️
https://t.co/gR4K8CIn41

[Center for Data Innovation @DataInnovation]

Dynamic pricing, algorithmic pricing, and personalized pricing are not the same thing.

Treating them as interchangeable can lead to regulations that miss actual consumer harms while restricting useful retail practices.

Read more on the risks of regulating pricing technologies:
https://t.co/Ge4KCalbiv

[Center for Data Innovation @DataInnovation]

Connecticut’s AI Engagement and Enablement Lab has supported 20 government AI pilots, from citizen service tools to election misinformation detection.

States need similar structures to scale AI responsibly.

Read more:
https://t.co/XFRAcmEYEH

[WearableDose @wearabledose]

Honored to be featured by the @DataInnovation Center's "5 Q's" series!

We discuss bringing AI-guided, real-time radiation dose verification to cancer care and why it matters for patients and clinicians.

Read more: https://t.co/VmLOJiTE78

#CancerCare #WearableDose

[Center for Data Innovation @DataInnovation]

Data innovation is helping patients make better use of healthcare by turning complex medical conversations into understandable information.

In our 5Qs series, Bart Voorn of Ditto Care explains how AI summarizes appointments and prepares patients with tailored questions.

Read the interview👇
https://t.co/XjL4CTNicC

[Center for Data Innovation @DataInnovation]

Utah’s AI sandbox lets companies test AI tools under state supervision instead of facing restrictions before deployment.

Other states should follow this evidence-based approach to build smarter AI policy.

Read more on statewide AI adoption👇
https://t.co/Xeo8RZWlu9

[Center for Data Innovation @DataInnovation]

CNN is suing Perplexity for allegedly reproducing its journalism through AI search products. But this isn't the same legal question as whether AI can train on public content.

Policymakers shouldn't treat all AI copyright cases alike.

Our analysis👇
https://t.co/jiFSN5CYKI

[Center for Data Innovation @DataInnovation]

Data innovation is expanding the role of wearable sensors in public health and safety.

In our 5Qs series, John Sanwo, CEO of Wearable Dose, discusses how AI-powered radiation monitoring can support cancer treatment, emergency response, and nuclear safety.

Read the interview:
https://t.co/3QVt83Ns03

[Center for Data Innovation @DataInnovation]

AI literacy can reduce uneven adoption across government agencies.

Cities should provide structured training programs that help employees apply common standards and best practices when using AI tools.

More in our analysis on successful AI adoption in city governments:
https://t.co/cq8S09M8kH

[Center for Data Innovation @DataInnovation]

Texas gives developers up to 36 months to test AI systems in a regulatory sandbox.

Longer testing windows help states evaluate mature AI applications and develop durable, evidence-based policies.

Read more on scaling AI in state government:
https://t.co/7GCpjbv3EX

[Center for Data Innovation @DataInnovation]

Data innovation is transforming cancer care by enabling real-time verification of treatment delivery.⚕️

In our 5Qs, John Sanwo of @wearabledose explains how wireless sensors and AI help clinicians compare planned and delivered radiation doses during therapy.

Read the interview👇
https://t.co/YNZE1xeRix

[Center for Data Innovation @DataInnovation]

@AnthropicAI @claudeai @OpenAI @deepseek_ai @TechPolicyMaven 3/ The U.S. needs a targeted response:

strengthen enforcement, improve intelligence sharing, invest in technical defenses like watermarking and detection, and coordinate with allies—without stifling legitimate AI research.

@Techpolicymaven explains👇
https://t.co/q14bLFSnl0

[Center for Data Innovation @DataInnovation]

.@AnthropicAI says fraudulent accounts generated 16M+ interactions to harvest @Claudeai outputs.

@OpenAI testified @DeepSeek_ai employees bypassed safeguards to extract model outputs.

These incidents put adversarial AI distillation squarely on policymakers' radar...🧵

[Center for Data Innovation @DataInnovation]

@AnthropicAI @claudeai @OpenAI @deepseek_ai @TechPolicyMaven 2/ Unauthorized AI distillation threatens U.S. competitiveness, could strengthen foreign military AI, and may strip away safety guardrails from powerful models.

Existing laws weren't built to address coordinated, state-backed extraction campaigns.

[Center for Data Innovation @DataInnovation]

Frontier AI models can now identify vulnerabilities and generate exploit chains in minutes.

Congress should modernize CyberCorps SFS to ensure cybersecurity talent can defend against AI-driven threats.

Read more in our analysis:
https://t.co/Tkk0ECwiob

[Center for Data Innovation @DataInnovation]

Some policymakers may cite the CNN vs Perplexity lawsuit as evidence that AI companies should pay mandatory licensing fees to publishers.

But the case is about alleged content reproduction—not whether AI training itself should require payment.

Our analysis 👇
https://t.co/VrZKKQ8OSV

[Information Technology and Innovation Foundation @ITIFdc]

📅 TUESDAY, June 30 @ 12 PM ET:

The US privacy landscape is increasingly fragmented, with states adopting different rules.

Join ITIF for a webinar discussing whether Congress can finally establish a national framework.

Register 👇
https://t.co/mJAeWYD1h7

[Daniel Castro @castrotech]

The U.S. thrives on permissionless innovation—the ability of firms to bring new products and services to market without first obtaining government approval.

The US AI industry is doomed if "mother may I?" becomes the new normal.

[Center for Data Innovation @DataInnovation]

Data innovation is improving biologic drug development with better evidence.

In our 5Qs interview, Christian Vahlensieck of Alp Bio describes how AI combines organoid data with clinical outcomes to predict immune reactions before trials, helping prioritize safer candidates.

Read the interview:
https://t.co/QC8PJOr5hg

[ISOC LIVE @ISOC_Live]

WEBINAR 30 JUN 16:00 UTC - ITIF - The New Push for a National Data Privacy Standard

https://t.co/4pbdvxadg6

@ITIFdc hosts a panel on the path to a US national data privacy framework, moderated by @ashljnsn with Richard Sill (@ReasonFdn), @MorganStevens (@ACTonline) and Ruth Whittaker (@ThirdWayTweet).

#DataPrivacy #PrivacyLaw #TechPolicy #ITIF