According to Senior Fellow Andrew Lohn in his testimony before the Senate Armed Services Subcommittee on Cybersecurity, the U.S. is the leading global innovator in AI.

In his testimony before the Senate Armed Services Subcommittee on Cybersecurity, Senior Fellow Andrew Lohn advises that the DOD has the opportunity to "step ahead of industry in the adversarial context" in terms of AI innovation within cyberspace operations.

CSET Senior Fellow Andrew Lohn testified before the U.S. Senate Armed Services Subcommittee on Cybersecurity hearing on artificial intelligence applications to operations in cyberspace. Lohn discussed AI's capabilities and vulnerabilities in cyber defenses and offenses.

The new grant will contribute to the CyberAI Project's research at the intersection of artificial intelligence and cybersecurity.

Like traditional software, vulnerabilities in machine learning software can lead to sabotage or information leakages. Also like traditional software, sharing information about vulnerabilities helps defenders protect their systems and helps attackers exploit them. This brief examines some of the key differences between vulnerabilities in traditional and machine learning systems and how those differences can affect the vulnerability disclosure and remediation processes.

CSET Senior Fellow Andrew Lohn discusses the potential for AI and machine learning software to be susceptible to data poisoning.

CSET Research Analyst Dakota Cary testified before the U.S.-China Economic and Security Review Commission hearing on "China’s Cyber Capabilities: Warfare, Espionage, and Implications for the United States." Cary discussed the cooperative relationship between Chinese universities and China’s military and intelligence services to develop talent with the capabilities to perform state-sponsored cyberespionage operations.

Artificial intelligence offers enormous promise to address a number of societal challenges, but it can also exacerbate existing ones. CSET Research Fellow Katerina Sedova, and John Bansemer, CSET Senior Fellow and Director of the CyberAI Project, discussed countering the threat of automated disinformation.

Between 2012 and 2018, the amount of computing power used by record-breaking artificial intelligence models doubled every 3.4 months. Even with money pouring into the AI field, this trendline is unsustainable. Because of cost, hardware availability and engineering difficulties, the next decade of AI can't rely exclusively on applying more and more computing power to drive further progress.

Artificial intelligence offers enormous promise to advance progress and powerful capabilities to disrupt it. This policy brief is the second installment of a series that examines how advances in AI could be exploited to enhance operations that automate disinformation campaigns. Building on the RICHDATA framework, this report describes how AI can supercharge current techniques to increase the speed, scale, and personalization of disinformation campaigns.