The maxim “you can’t manage what you can’t measure” has never been so relevant. The failure to effectively leverage data has undoubtedly cost many lives and caused severe social and economic damage to communities ravaged by opioid addiction.
Publications: Joshua New
October 28, 2019
Growing animus toward “Big Tech” companies and generalized opposition to technological innovation engenders support for policies that are expressly designed to inhibit it. That is deeply problematic for future progress, prosperity, and competitiveness.
September 18, 2019
Policymakers should recognize that the potential of data-driven drug development is crucial to the well-being of Americans as well as U.S. competitiveness, and develop policies to accelerate this transformation.
August 9, 2019
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.
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 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
February 25, 2019
In an op-ed for The Hill, Daniel Castro and Joshua New write that the administration’s executive order launching the “American AI Initiative” is a welcome step towards boosting U.S. competitiveness in AI, but it does not go far enough.
February 15, 2019
Regulators can provide effective oversight of automated systems so as to both protect consumers and allow innovation to flourish.
December 4, 2018
Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like
The United States is the global leader in developing and using artificial intelligence (AI), but it may not be for long. Succeeding in AI requires more than just having leading companies make investments. It requires a healthy ecosystem of AI companies, robust AI inputs—including skills, research, and data—and organizations that are motivated and free to use AI.
October 25, 2018
NITRD’s National AI R&D Strategic Plan is a valuable opportunity to help the United States maintain its competitive edge in the absence of a broader national AI strategy.