Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.

One sentence summarizes the complexities of modern artificial intelligence: Machine learning systems use computing power to execute algorithms that learn from data. This AI triad of computing power, algorithms, and data offers a framework for decision-making in national security policy.

The rise of deepfakes could enhance the effectiveness of disinformation efforts by states, political parties and adversarial actors. How rapidly is this technology advancing, and who in reality might adopt it for malicious ends? This report offers a comprehensive deepfake threat assessment grounded in the latest machine learning research on generative models.

Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability. 

CSET Senior Faculty Fellow Ben Buchanan testified before the Senate Committee on Banking, Housing and Urban Affairs for its hearing on Export Control Reform Implementation: Outside Perspectives.

CSET Senior Faculty Fellow Ben Buchanan testified before the House Homeland Security Subcommittee on Intelligence and Counterterrorism for its hearing on Artificial Intelligence and Counterterrorism: Possibilities and Limitations.