Data Innovation

Who Is Winning the AI Race: China, the EU or the United States?
The United States leads the race for global advantage in artificial intelligence, at least for the time being, with China coming in second and the EU lagging behind. But China is poised to challenge U.S. dominance in coming years as it undertakes bold AI initiatives.
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For a menu of actionable ideas for policymakers related to data innovation, see ITIF’s “Tech Policy To-Do List.”

Data Innovation
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August 19, 2019
Who Is Winning the AI Race: China, the EU or the United States?
The United States leads the race for global advantage in artificial intelligence, at least for the time being, with China coming in second and the EU lagging behind. But China is poised to challenge U.S. dominance in coming years as it undertakes bold AI initiatives.
August 9, 2019
Comments to OMB on Federal Data and Models for AI R&D
The Center for Data Innovation filed comments in response to a request for information from the Office of Management and Budget on identifying priority access or quality improvements for federal data and models for artificial intelligence (AI) research and development (R&D) and testing.
August 9, 2019
Who Stands to Benefit the Most From New Data Privacy Laws? Lawyers
Equifax recently announced a multi-million dollar settlement for a 2017 breach that affected 143 million Americans. At first glance, this might seem like justice for the little guy. But a closer look shows that the ones who stand to get the biggest payoff are the well-heeled lawyers who crafted the deal.
August 6, 2019
The Manufacturing Evolution: How AI Will Transform Manufacturing and the Workforce of the Future
A report by ITIF for the MAPI Foundation, a research subsidiary of the Manufacturers Alliance for Productivity and Innovation (MAPI).
July 31, 2019
Comments to the U.S. Consumer Product Safety Commission on the Internet of Things and Consumer Product Hazards
CPSC should pay more attention to some of the unique cybersecurity risks that exist with IoT devices, but it should not pursue any prescriptive regulations for device security.
July 18, 2019
Response to the UK Government’s Open Call for Evidence on its National Data Strategy
The UK can simultaneously promote data-driven innovations for all, develop the types of skills required for the digital economy, support the private sector’s use of data to increase productivity, and improve public services through appropriate sharing and use of data within government, as well as between government and the private sector.
July 8, 2019
Response to Singapore’s Public Consultation on Proposed Data Portability and Data Innovation Provisions
ITIF’s Center for Data Innovation has responded to Singapore’s Personal Data Protection Committee’s (PDPC) public consultation on proposed amendments to the Personal Data Protection Act (PDPA
June 17, 2019
What the Evidence Shows About the Impact of the GDPR After One Year
One year later, there is mounting evidence that the law has not produced its intended outcomes; moreover, the unintended consequences are severe and widespread.
May 13, 2019
The EU Needs to Reform the GDPR To Remain Competitive in the Algorithmic Economy
Europe’s success in the global algorithmic economy requires a regulatory environment that is fit for AI but does not reduce consumer protections.
May 10, 2019
Comments to NIST on AI Standards
Robust technical standards for AI will be crucial to the success of the technology in the United States and abroad because they can serve as authoritative guidelines and benchmarks for the development and evaluation of AI. But concerns about the oversight of AI have stymied productive discussions about standards development by causing policymakers to prioritize oversight at the expense of technical understanding.

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