Data Innovation
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As every sector of the global economy and nearly every facet of modern society undergo digital transformation, ITIF advocates for policies that spur not just the development of IT innovations, but more importantly their adoption and use throughout the economy. 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.
Featured
Digital Equity 2.0: How to Close the Data Divide
Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data representation and access, certain individuals and communities will be left behind in an increasingly data-driven world.
More Publications and Events
April 24, 2024|Events
Harnessing AI for Carbon Neutrality
Join the Center for Data Innovation for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.
April 16, 2024|Events
How Can the UK Encourage the Uptake of AI in the Public Sector?
Join ITIF's Center for Data Innovation for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.
March 18, 2024|Blogs
China’s Annual Parliamentary Meeting Shows National Commitment to Advancing AI
Unlike the United States or the European Union, the primary focus among stakeholders in China was how to ensure China does not fall behind in the development or adoption of this emerging technology.
March 16, 2024|Presentations
Impact the Future: International Women's Day 2024
Ayesha Bhatti speaks at Impact the Future: International Women's Day 2024 on exploring the importance of open-source development in the pursuit of innovation.
March 14, 2024|Blogs
UK Tech Secretary Michelle Donelan Recommits to Innovation But Her Ambition to Achieve Tech Superpower Status May Be Hindered By Her Own Party
Secretary of State for Science, Innovation and Technology Michelle Donelan's recommendations, while commendable, fail to consider the wider context in which UK innovation currently sits, calling into question the feasibility of her plans in one of the most politically charged times of Conservative Party leadership.
March 8, 2024|Testimonies & Filings
Comments to the European Commission’s Directorate General for Competition on Virtual Worlds and Generative AI
The market for AR/VR technologies, though nascent, presents a multifaceted competitive landscape spanning hardware, software, and distribution. And the generative AI market is experiencing early-stage growth with no significant entry barriers evident, particularly concerning data, computational resources, and talent.
March 4, 2024|Blogs
The EU’s AI Act Creates Regulatory Complexity for Open-Source AI
The EU's AI Act will significantly impact the development and use of open-source AI in the EU.
February 27, 2024|Blogs
Florida’s E-commerce Legislation Would Conflict With the INFORM Act
State policymakers in Florida should not pass legislation that duplicates existing federal laws, like the INFORM Act, with confusing and potentially contradictory stipulations. To truly provide consumer protection around products from countries of concern, they should work with Congress to enact a tougher federal law.
February 23, 2024|Testimonies & Filings
Comments to Ofcom on Protecting People From Illegal Harms Online
The Center for Data Innovation submitted comments with Ofcom, the regulator of communications services in the UK, on its first major consultation on the Online Safety Act.
February 20, 2024|Blogs
California’s Bill to Regulate Frontier AI Models Undercuts More Sensible Federal Efforts
California's new AI bill stands to seriously hinder the development of state-of-the-art systems in the state, where much of the frontier AI development in the U.S. is taking place. And since California often sets the tone for action in other states, this bill risks setting a precedent for a fragmented regulatory landscape for AI safety across the country.