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Center for Data Innovation

Center for Data Innovation

ITIF’s Center for Data Innovation formulates and promotes pragmatic public policies designed to maximize the benefits of data-driven innovation in the public and private sectors. It educates policymakers and the public about the opportunities and challenges associated with data, as well as technology trends such as open data, artificial intelligence, and the Internet of Things. For more, get the Center’s weekly emails and visit datainnovation.org.

Featured Publications

The Effect of International Proposals for Monitoring Obligations on End-To-End Encryption

The Effect of International Proposals for Monitoring Obligations on End-To-End Encryption

European and U.S. policymakers have proposed imposing monitoring obligations on Internet intermediaries to improve online safety. Despite their best efforts, these proposals risk undermining users’ privacy by eliminating the use of end-to-end encryption. Therefore, policymakers should not pursue them.

Closing the Data Divide for a More Equitable US Digital Economy

Closing the Data Divide for a More Equitable US Digital Economy

In the United States, access to many public and private services, including those in the financial, educational, and health care sectors, are intricately linked to data. But adequate data is not collected equitably from all Americans.

US AI Policy Report Card

US AI Policy Report Card

The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.

Industry-University Partnerships to Create AI Universities: A Model to Spur US Innovation and Competitiveness in AI

Industry-University Partnerships to Create AI Universities: A Model to Spur US Innovation and Competitiveness in AI

A collaboration between the University of Florida and NVIDIA provides five lessons for effective industry-university partnerships.

Best Practices to Combat Online Sale of Counterfeits in the EU and US

Best Practices to Combat Online Sale of Counterfeits in the EU and US

As policymakers worldwide explore new anti-counterfeiting measures in their regions, a consensus is emerging in the United States and the EU on best practices for e-commerce platforms to combat online sales of counterfeit goods.

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Events

April 6, 2023

What Are the Consequences of Backdoors for Online Privacy?

Join ITIF's Center for Data Innovation to discuss the potential benefits and costs of end-to-end encryption and what law enforcement access to user data could look like in the future.

March 21, 2023

AI-Generated Art: Boom or Bust for Human Creativity?

Join the Center for Data Innovation for a discussion on how generative AI works, how artists are using these tools, and whether AI-generated art will be a boom or bust for human creativity.

March 7, 2023

Will ChatGPT Forever Change Education?

Watch ITIF's Center for Data Innovation's discussion about the promises and pitfalls of generative AI in the classroom and the ways policymakers can support educators while allowing this new technology to prosper.

February 28, 2023

Can Regulators Handle the Mastodons of the World?

Watch ITIF's Center for Data Innovation's discussion on the challenges policymakers face in applying existing laws and regulations to decentralized online services.

February 23, 2023

Where Should US AI Policy Be Headed Next?

Watch ITIF's Center for Data Innovation's panel discussion on the impact and efficacy of AI policy to date. Experts will debate on how policymakers can best nurture the capabilities and activities of the U.S. AI ecosystem moving forward.

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Staff

DanielDaniel Castro

Vice President, ITIF, and Director, Center for Data Innovation

GillianGillian Diebold

Policy Analyst

PatrickPatrick Grady

Policy Analyst

KirKir Nuthi

Senior Policy Analyst

HodanHodan Omaar

Senior Policy Analyst

MorganMorgan Stevens

Research Assistant

BeccaBecca Trate

Policy Analyst

More From the Center

March 20, 2023|Reports & Briefings

Critics of Generative AI Are Worrying About the Wrong IP Issues

Critics argue developers of generative AI systems such as ChatGPT and DALL-E have unfairly trained their models on copyrighted works. Those concerns are misguided.

March 10, 2023|Testimonies & Filings

Feedback to the European Commission on 2030 Digital Decade Key Performance Indicators

The Center for Data Innovation submits feedback on the European Commission’s key performance indicators to measure the progress towards the Digital Decade Policy Programme 2030 digital targets. The feedback includes proposed changes on how to improve some of the KPIs.

March 8, 2023|Testimonies & Filings

Feedback to the European Commission on the Draft European Statistics on Population and Housing Regulation

The Center for Data Innovation submits feedback on the European Commission’s consultation and call for evidence regarding the regulation on European statistics on population and housing. The feedback lists four positive aspects of the proposed regulation and provides a suggestion to further improve the regulation’s efforts to address the data divide.

March 2, 2023|Blogs

Congress Needs to Understand How Online Ads Work to Pass Data Privacy Legislation

As Congress continues to debate federal data privacy legislation, it is important that it understands how online advertising works, so as not to unintentionally harm the Internet ecosystem.

February 8, 2023|Reports & Briefings

Ten Principles for Regulation That Does Not Harm AI Innovation

Concerns about artificial intelligence have prompted policymakers to propose a variety of laws and regulations to create “responsible AI.” Unfortunately, many proposals would likely harm AI innovation because few have considered what “responsible regulation of AI” entails.

February 1, 2023|Reports & Briefings

The AI Act Should Be Technology-Neutral

The AI Act’s broad definition of AI penalizes technologies that do not pose novel risks. To resolve this, policymakers should revise the definition of AI to only apply to specific AI approaches that create significant challenges.

January 25, 2023|Events

How Can Better Federal Data on Higher Education Outcomes Reduce Student Debt?

Watch the Center for Data Innovation's webinar on how better data can help students with their higher education pursuits, the challenges in providing this data today, and the steps policymakers can take to address these barriers.

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