Artificial Intelligence

The U.S. government has no official definition of artificial intelligence, or AI. According to the Congressional Research Service, AI refers to a computer system capable of human-level cognition using one of two categories, narrow AI and general AI. Narrow AI systems “can perform only the specific task that they were trained to perform, while general AI systems—which does not yet, and may never, exists—would be capable of performing a broad range of tasks, including those for which they were not specifically trained.”

Recent Publications


The Brookings Institution | Dec. 1, 2020

The rise of the futurists: The perils of predicting with futurethink

Alexander H. Montgomery and Amy J. Nelson

In this paper, Dr. Alexander H. Montgomery and Dr. Amy J. Nelson explore probabilistic and possibilistic approaches to uncertainty related to AI, outline their potential advantages and disadvantages, and identify common biases that hinder good prediction.



The Center for International and Security Studies at Maryland (CISSM) | July 10, 2020

Innovation and Its Discontents: National Models of Military Innovation and the Dual-Use Conundrum

Amy J. Nelson

Dr. Amy J. Nelson's Center for International and Security Studies at Maryland (CISSM) Report explores variations in national models of innovation, as well as the pathways or levers those models afford in controlling innovation’s end product with a focus on dual-use technologies. The report uses case studies of both U.S. and German investment in artificial intelligence and additive manufacturing to highlight national approaches to innovation.