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

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.
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.
Staff
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.