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.

Both China and the United States seek to develop military applications enabled by artificial intelligence. This issue brief reviews the obstacles to assessing data competitiveness and provides metrics for measuring data advantage.

Helen Toner, Director of Strategy at CSET, joined Dame Wendy Hall, Jaan Tallinn and Ed Butler to talk about threats intelligent machines might pose to humans.

“These three areas—adversarial learning, cyber offense, and cyber defense—deserve a lot more attention, and quickly,” writes CSET Senior Faculty Fellow Ben Buchanan. “Policymakers have begun to consider these important issues, but the conversation must continue.”