Automation bias is a critical issue for artificial intelligence deployment. It can cause otherwise knowledgeable users to make crucial and even obvious errors. Organizational, technical, and educational leaders can mitigate these biases through training, design, and processes. This paper explores automation bias and ways to mitigate it through three case studies: Tesla’s autopilot incidents, aviation incidents at Boeing and Airbus, and Army and Navy air defense incidents.

Sam Bresnick testified before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law regarding tech companies' ties to China and their implications in a future conflict scenario.

In an article published by The Japan Times that discusses the White House’s push for the Pentagon and U.S. national security agencies to accelerate the adoption of AI technology, CSET Research Fellow, Sam Bresnick, provided his expert insights.

In an MWI Podcast episode about the anticipated impact of artificial intelligence on future warfare, CSET's Emmy Probasco and Igor Mikolic-Torreira shared their expert insights.

This blog describes key takeaways from the NATO-Ukraine Defense Innovators Forum, held in Krakow, Poland in June 2024. It overviews changing concepts of operation, battlefield realities, and technological aspirations and innovations in Ukraine, with a focus on uncrewed aerial vehicles (UAVs) and counter-UAV systems. It builds upon CSET’s previous blog from the Future of Drones in Ukraine conference held in Warsaw in November 2023.

In his op-ed in Lawfare, Sam Bresnick discusses the evolving military strategies of China under Xi Jinping, highlighting the country's increasing engagement in risky military activities across while simultaneously exhibiting a reluctance to responsibly manage military crises with the U.S.

This blog post recounts the development of a Python-based data collection pipeline project completed in the summer of 2024 by CSET inaugural intern Jordan Monts. During his project research and work, he used the Requests and BeautifulSoup libraries to create a two-part system to gather and process web data, support ongoing research initiatives, and strengthen his skills in data processing as well as application programming interface (API) management.

This blog post analyzes five major Chinese AI governance proposals, focusing on the key actors specified in each proposal. We find that older proposals lack specificity when identifying AI governance actors. Recent proposals, on the other hand, assign roles and responsibilities to a defined set of actors. The findings from this blog post can help policymakers and analysts better understand China’s fast-evolving AI governance landscape.

A CSET report was highlighted in an article by DefenseOne. The article discusses new findings suggesting that the Pentagon may have discovered how to quickly and cost-effectively acquire technology, particularly in the realm of AI-driven capabilities.

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.