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.

Who Is Winning the AI Race: China, the EU or the United States?

From alarmists touting an artificial intelligence apocalypse to activists fighting against genetically improved foods, this report highlights 10 of the year’s most egregious cases of neo-Luddism in action.

The 2015 ITIF Luddite Award Nominees: The Worst of the Year’s Worst Innovation Killers

Focusing on mitigating speculative concerns about AI will limit its development and adoption. Policymakers should instead encourage innovation while crafting targeted solutions for specific problems if they occur.

Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence

Critics claim AI will produce a parade of horribles, from joblessness to our eventual doom. This report debunks such myths and explains why policymakers should actively support AI innovation.

"It's Going to Kill Us!" and Other Myths About the Future of Artificial Intelligence

Rob Atkinson spoke about opportunities and challenges associated with artificial intelligence on March 23, 2017 at a conference hosted in Brussels by Bruegel, a European economic think tank specializing in economics.

Artificial Intelligence, Robotics, and the Future of Work: Myths and Facts

Artificial intelligence is generating substantial benefits in many sectors of the economy and society. Policymakers should take this to heart as they evaluate how to spur further development and adoption of the technology.

The Promise of Artificial Intelligence: 70 Real-World Examples

The prevailing narrative is that Americans work in an economy of growing job insecurity, and that new technologies like artificial intelligence have only made matters worse. In fact, jobs are more secure now than at any time since the mid-1990s.

Even After COVID-19, the U.S. Labor Market Remains More Stable Than People Think

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.

The Impact of AI on Diplomacy and International Relations

Join ITIF for a spirited discussion about the state of artificial intelligence, whether super intelligent computers will someday pose a threat to the human race, and how policymakers should respond to these ideas.

Are Super Intelligent Computers Really A Threat to Humanity?

Watch ITIF's event at the Dirksen Senate Office Building (SD-562) as it released a new report exploring the promise of HPC in the exascale era, examining some of the latest cutting-edge applications of HPC, and articulating steps policymakers should take to keep the United States at the leading-edge of this highly globally competitive, yet truly foundational information technology.

A New Frontier: Leveraging U.S. High-Performance Computing Leadership in an Exascale Era

In testimony before California’s Little Hoover Commission, ITIF President Rob Atkinson encourages state policymakers to support AI development and adoption while improving state systems for helping workers make transitions between jobs and occupations.

Economic and Labor Force Implications of Artificial Intelligence

The EU’s new data privacy rules, the General Data Protection Regulation (GDPR), will have a negative impact on the development and use of artificial intelligence (AI) in Europe, putting EU firms at a competitive disadvantage compared with their competitors in North America and Asia.

The Impact of the EU’s New Data Protection Regulation on AI

The U.S. needs to cultivate more and better clusters of small and medium-sized (SME) manufacturing firms in order to compete in a global industry with an increased reliance on smart manufacturing technologies. Join ITIF for a morning conference exploring how digital technologies such as artificial intelligence, big data, 3D printing, and the Internet of Things are reshaping modern manufacturing and what policymakers can do to help foster high-performance SME manufacturing clusters.

Building High-Performance SME Clusters for American Competitiveness in the 21st Century

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.

Why the United States Needs a National Artificial Intelligence Strategy and What It Should Look Like

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.

How Much Will the Artificial Intelligence Act Cost Europe?

With the increasing adoption and integration of artificial intelligence across sectors, policy frameworks around the world are trying to catch up with fast-paced developments. From laws in Japan to prevent imitation products in the metaverse, and in Brazil to restrict the use of copyright content in AI, to more than 300 bills across the federal and state governments in the United States looking to regulate AI, the landscape is quickly becoming more complicated.

Daniel Castro speaks about global trends in AI regulation in the United States, Europe, and Asia at a 

Virtual Only

Daniel Castro speaks about global trends in AI regulation in the United States, Europe, and Asia at a webinar hosted by FiscalNote.

Unveiling AI Policy Insights: Global Trends and Regulatory Strategies

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Who Is Winning the AI Race: China, the EU or the United States?

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Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence