As modern machine learning systems become more widely used, the potential costs of malfunctions grow. This policy brief describes how trends we already see today—both in newly deployed artificial intelligence systems and in older technologies—show how damaging the AI accidents of the future could be. It describes a wide range of hypothetical but realistic scenarios to illustrate the risks of AI accidents and offers concrete policy suggestions to reduce these risks.

FedScoop highlighted CSET's "U.S. Military Investments in Autonomy and AI" in a report on U.S. efforts to improve human operator trust in autonomous tools.

As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses the risks from too much or too little trust in intelligent technologies, reviews efforts to build trustworthy AI systems, and offers future directions for research on trust relevant to the U.S. military.

See our translation of a document issued by China’s State Administration of Science, Technology and Industry for National Defence (SASTIND) that identifies several emerging technologies of interest to the Chinese military.