Since 2019, the U.S. government has imposed restrictive export controls on Huawei—one of China’s leading tech giants—seeking, in part, to hinder the company’s AI chip development efforts. This data snapshot reveals how exactly Huawei’s latest AI chip—the Ascend 910B—improves on the prior generation and demonstrates how export controls are likely hindering Huawei’s production.

Policy and research communities strive to mitigate AI harm while maximizing its benefits. Achieving effective and trustworthy AI necessitates the establishment of a shared language. The analysis of policies across different countries and research literature identifies consensus on six critical concepts: accountability, explainability, fairness, privacy, security, and transparency.

This paper is the fifth installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. This paper explores the opportunities and challenges of building AI systems that “know what they don’t know.”

CSET Non-Resident Senior Fellow Kevin Wolf testified before the US-China Economic and Security Review Commission on economic competition with China.

President Biden's October 2023 executive order prioritizes the governance of artificial intelligence in the federal government, prompting the urgent creation of AI risk management standards and procurement guidelines. Soon after the order's signing, the Office of Management and Budget issued guidance for federal departments and agencies, including minimum risk standards for AI in federal contracts. Similar to cybersecurity, procurement rules will be used to enforce AI development best practices for federal suppliers. This report offers recommendations for implementing AI risk management procurement rules.

As the U.S. government considers banning genomics companies from China, it opens a broader question about how the United States and other market economies should deal with China’s “national champions.” This paper provides an overview of one such company—BGI—and how China’s industrial policy impacts technology development in China and around the world.

Jacob Feldgoise and Hanna Dohmen at the Center for Security and Emerging Technology (CSET) at Georgetown University offer the following response to the Bureau of Industry and Security’s (BIS) Notice of Proposed Rulemaking (NPRM): Taking Additional Steps To Address the National Emergency With Respect to Significant Malicious Cyber-Enabled Activities (89 FR 5698).

Artificial Intelligence incidents have been occurring with the rapid advancement of AI capabilities over the past decade. However, there is not yet a concerted policy effort in the United States to monitor, document, and aggregate AI incident data to enhance the understanding of AI-related harm and inform safety policies. This report proposes a federated approach consisting of hybrid incident reporting frameworks to standardize reporting practices and prevent missing data.

On February 2, 2024, CSET's Assessment and CyberAI teams submitted a response to NIST's Request for Information related to the Executive Order Concerning Artificial Intelligence (88 FR 88368). In the submission, CSET compiles recommendations from six CSET reports and analyses in order to assist NIST in its implementation of AI Executive Order requirements.

CSET's Ngor Luong testified before the U.S.-China Economic and Security Review Commission where she discussed Chinese investments in military applications of AI.