As critical infrastructure operators and providers seek to harness the benefits of new artificial intelligence capabilities, they must also manage associated risks from both AI-enabled cyber threats and potential vulnerabilities in deployed AI systems. In June 2024, CSET led a workshop to assess these issues. This report synthesizes our findings, drawing on lessons from cybersecurity and insights from critical infrastructure sectors to identify challenges and potential risk mitigations associated with AI adoption.

Read our translation of a Beijing Municipal industrial policy that describes how the city government plans to integrate AI into a wide variety of industries in 2024 and 2025.

Read our translation of a document that outlines the near-term AI industrial policy of Guangdong Province, a technologically advanced region in southern China.

The U.S. Army’s 18th Airborne Corps can now target artillery just as efficiently as the best unit in recent American history—and it can do so with two thousand fewer servicemembers. This report presents a case study of how the 18th Airborne partnered with tech companies to develop, prototype, and operationalize software and artificial intelligence for clear military advantage. The lessons learned form recommendations to the U.S. Department of Defense as it pushes to further develop and adopt AI and other new technologies.

Read our translation of Interim Measures of Shanghai Municipality for the Administration of Disruptive Technology Innovation Projects.

Extreme ultraviolet (EUV) lithography is the most important technology to have emerged out of the semiconductor industry in recent years. This report presents a case study of its development from the 1980s to the present. Using bibliometric data, this report details the evolution of the research community responsible for its development and the many scientific breakthroughs made on EUVs over a decades-long path to commercialization. The paper concludes with lessons learned for policymakers interested in protecting and promoting the next generation of emerging technologies.

A core question in policy debates around artificial intelligence is whether federal agencies can use their existing authorities to govern AI or if the government needs new legal powers to manage the technology. The authors argue that relying on existing authorities is the most effective approach to promoting the safe development and deployment of AI systems, at least in the near term. This report outlines a process for identifying existing legal authorities that could apply to AI and highlights areas where additional legislative or regulatory action may be needed.

CSET submitted the following comment in response to a Request for Information (RFI) from the Department of Commerce regarding 89 FR 27411.

The U.S. government has an opportunity to seize strategic advantages by working with the remote sensing and data analysis industries. Both grew rapidly over the last decade alongside technology improvements, cheaper space launch, new investment-based business models, and stable regulation. From new sensors to new orbits, the intelligence community and regulators have recognized these changes and opportunities—the U.S. Department of Defense, NASA, and other agencies should follow suit.

How to govern artificial intelligence is a concern that is rightfully top of mind for lawmakers and policymakers.To govern AI effectively, regulators must 1) know the terrain of AI risk and harm by tracking incidents and collecting data; 2) develop their own AI literacy and build better public understanding of the benefits and risks; and 3) preserve adaptability and agility by developing policies that can be updated as AI evolves.