Data Innovation

One year later, there is mounting evidence that the law has not produced its intended outcomes; moreover, the unintended consequences are severe and widespread.
Data Innovation
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June 17, 2019
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
Europe’s success in the global algorithmic economy requires a regulatory environment that is fit for AI but does not reduce consumer protections.
February 11, 2019
Both EDPS and CPDP have paid a lot of lip service to the importance of ethics. It is time to turn those words into actions and be clear about where it stands on an inappropriate and offensive recent statement by Giovanni Buttarelli.
January 28, 2019
Significant advances in Artificial Intelligence (AI) over the past decade have led to many debates about the potential social, economic, and security impact of AI. However, little sustained attention has been paid to the impact of AI on international relations or how the technology impacts the work of diplomats and policy makers.
January 22, 2019
Intellectual property regimes that tilt too far toward granting data rights run the risk of stifling needed data sharing, while regimes that tilt foo far in the other direction risk limiting incentives for data collection and innovation.
January 14, 2019
Congress should repeal and replace existing federal privacy laws with a common set of protections. We need comprehensive data privacy legislation that preempts state laws, improves transparency requirements, strengthens enforcement, and establishes a clear set of data privacy rights for Americans based on the sensitivity of the data and the context in which it is collected.
January 7, 2019
Only one in four Americans (26 percent) think government should strictly limit the use of facial recognition technology, according to a new survey from the Center for Data Innovation—and that support drops even further if it would come at the expense of public safety.
December 4, 2018
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.
December 4, 2018
While many nations have developed national strategies to support the development and adoption of AI, the United States has not. Join ITIF's Center for Data Innovation for the release of a new report laying out a detailed national AI strategy and a panel discussion about the ways in which policymakers can make the United States more competitive in the global AI race.
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.

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