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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.
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.
Closing the Data Divide for a More Equitable US Digital Economy
More Publications and Events
September 11, 2023|Blogs
The FTC Should Not Treat OpenAI Like Public Enemy No. 1
The FTC's recent investigation into OpenAI, prompted by a minor data breach and a defamation lawsuit, seems driven by anti-tech ideology rather than a measured understanding of the evidence.
September 5, 2023|Reports & Briefings
Comparing Data Policy Priorities Around the World
Instead of duplicating any one approach, U.S. policymakers should borrow from the menu of options to craft a cohesive, pro-innovation data strategy.
September 1, 2023|Blogs
In the Wake of Generative AI, Industry-Led Standards for Data Scraping Are a Must
Significant public concerns about AI have raised the risk that Congress might step in and pass anti-scraping legislation. But a legislative intervention would be a mistake, especially given that the private sector has previously resolved a similar issue through voluntary measures.
August 21, 2023|Blogs
Is Mona Lisa Happy? EU Would Ban AI That Could Answer This Question
The latest target of tech critics is emotion recognition technology. Unfortunately, the EU appears poised to crack down on this technology, which would be a mistake since most of the criticism directed toward it is largely misguided and fails to consider its potential benefits.
August 17, 2023|Events
How Can Policymakers Support the Adoption of Drones for Package Deliveries?
Watch ITIF's Center for Data Innovation's webinar discussing the challenges inhibiting drone use in package delivery, where the drone tech and regulations affecting the tech are heading, and how policymakers can support safe drone operations.
August 14, 2023|Blogs
FTC Could End Amazon Prime Benefits for Consumers
The FTC’s likely solutions to Amazon's alleged anticompetitive behavior would come at the expense of convenience, a wider selection of products, fast delivery, lower prices, and valuable features.
August 8, 2023|Blogs
The FTC Should Avoid Unduly Restricting the US AI Industry
The AI industry is emerging and evolving rapidly, and neither the FTC nor the DOJ has been able to point to any evidence of anticompetitive behavior. Rather than invent or speculate about problems that do not exist, competition regulations should allow the AI industry to continue to develop new and innovative products without unwarranted restrictions.
July 31, 2023|Blogs
The COOL Online Act Fails to Create Parity in Country of Origin Labeling Requirements
The Senate has introduced legislation to give consumers access to information about the origins of products sold online. But despite its good intentions, the bill would create uneven playing fields for brick-and-mortar stores, online retailers, and online marketplaces.
July 28, 2023|Blogs
No, We Aren’t in an Oppenheimer Moment for AI
Oppenheimer, has many people drawing parallels between the control of nuclear weapons and the calls to curb AI. But developing and deploying powerful AI systems is not like developing and deploying the atomic bomb.
July 26, 2023|Op-Eds & Contributed Articles
Three Guidelines for Crafting a Strong Federal AI Policy
The White House is developing a national artificial intelligence strategy to “chart a path for the United States to harness the benefits and mitigate the risks of AI.” Previous administrations and Congress have taken some steps toward this in the past, but those efforts did not go far enough.