Artificial Intelligence

Given the transformative potential of AI for workforce decisions, policy should tilt toward enabling transformation with this technology.
Artificial Intelligence
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September 20, 2021
Rob and Jackie sat down with retired Lt. Gen. Jack Shanahan, the first director of the Defense Department’s Joint Artificial Intelligence Center (JAIC), to discuss how AI is being used in the defense world and the implications for the broader AI ecosystem.
August 9, 2021
Given the transformative potential of AI for workforce decisions, policy should tilt toward enabling transformation with this technology.
July 26, 2021
The AIA will cost the European economy €31 billion over the next five years and reduce AI investments by almost 20 percent. A European SME that deploys a high-risk AI system will incur compliance costs of up to €400,000 which would cause profits to decline by 40 percent.
May 5, 2021
ITIF's Center for Data Innovation hosted an expert panel discussion about the EU’s AI legislation, including its feasibility, impact, and efficacy.
March 1, 2021
AI promises to help cities save money, address infrastructure needs, and reduce emissions. But to unlock these benefits and help smart cities reach their full potential, the federal government has an important role to play in funding RD&D and facilitating cooperation.
February 8, 2021
Understanding what AI can do—and perhaps more importantly what it cannot—is critical for understanding the substantial benefits AI can bring to many sectors of the economy and society.
January 25, 2021
The United States still holds a substantial overall lead in AI, but China has continued to reduce the gap in some important areas and the EU continues to fall behind.
December 1, 2020
ITIF’s Center for Data Innovation hosted a high-level forum to connect stakeholders working to promote AI in Europe, showcase advances in AI, and promote AI policies supporting its development to EU policymakers and thought leaders.
October 15, 2020
The Center for Data Innovation has responded to a request for comment from the National Institute of Standards and Technology (NIST) on its draft white paper, “Four Principles of Explainable Artificial Intelligence,” which seeks to develop principles encompassing the core concepts of explainable AI.
October 14, 2020
ITIF’s Center for Data Innovation hosted a discussion about the impact quantum computing will have on AI, the current state of the field and near-term challenges, and the role that policy can play in accelerating this paradigm shift in computing and AI.

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