Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the third installment of a four-part series.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the second installment of a four-part series.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the first installment of a four-part series.

As new advanced AI systems roll out, there is widespread disagreement about malicious use risks. Are bad actors likely to misuse these tools for harm? This report presents a simple framework to guide the questions researchers ask—and the tools they use—to evaluate the likelihood of malicious use.

Read our translation of draft measures that describe a process for ethics reviews of Chinese scientific research.

In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

Read our translation of a draft Chinese policy document from 2021 that lays out a basic framework for assessing ethical problems with scientific research.

As artificial intelligence permeates the economy, the demand for AI talent with all levels of educational attainment will expand in kind. Apprenticeships are an effective education and training pathway for other industries, but are they suitable for AI-related roles? This report analyzes trends in AI-related apprenticeships across the United States from 2013 through 2023. It explores the growth of these programs, completion rates, demographic and geographic information, and the organizations sponsoring these programs.

Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluate their explainability and interpretability claims in the context of AI-enabled recommendation systems and offers considerations for policymakers seeking to support AI evaluations.

Read our translation of China’s catalog of prohibited and restricted exports, as revised in December 2023.