Emerging Technologies

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.
Emerging Technologies
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August 19, 2019
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
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 7, 2019
Daniel Castro writes for Euronews, Europe will be left behind in AI if it focuses on ethics rather than developing the best technology.
August 6, 2019
A report by ITIF for the MAPI Foundation, a research subsidiary of the Manufacturers Alliance for Productivity and Innovation (MAPI).
July 24, 2019
ITIF hosted a discussion about the benefits of using facial recognition for law enforcement and public safety, the current safeguards in place that govern its use, and the opportunities for policymakers to address legitimate concerns without limiting the potential of this technology.
July 23, 2019
Taiwanese taxi firms are pushing for regulation that would force ride-sharing platforms out of the market. As Joe Kennedy writes in the Taipei Times, policymakers should allow them to compete.
July 12, 2019
With China becoming more assertive, one might think Taiwan would feel the need to increase productivity and innovation, including by working more closely with U.S. companies. Apparently not.
May 30, 2019
Artificial Intelligence is the proverbial Wild West, at least that's what concerns many skeptics. Please join ITIF's Center for Data Innovation in partnership with NIST for a conversation about the state of play in developing standards and oversight of AI systems, the need for proper governance of AI in key industries like health care and transportation, and the role that policymakers can play in advancing these efforts.
May 22, 2019
In an op-ed for RealClearPolicy, Daniel Castro writes that policymakers should allow law enforcement to use facial recognition technology to make communities safer while also providing additional oversight, testing, and guidance to protect the rights of all Americans.
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.

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