April 27, 2026

Losing the Loop: A Model for Human Operational Involvement Part Two: A Proposed System Toward a Solution

Last week’s “Losing the Loop: Iteratively Autonomous Artificial Intelligence and the Question of Human Operational Involvement” examined how increasing autonomy in agentic AI reshapes the structure, tempo, and locus of human decision-making in operational environments, particularly as these systems transition from analytic tools to increasingly directive and generative components of the human–machine team. Seen in sequence, the logic is cumulative. The first section demonstrates how autonomy can erode the integrity of the decision loop. The second makes that erosion visible, locating the specific points at which human judgment becomes constrained or displaced.

April 21, 2026

Losing the Loop: Iteratively Autonomous Artificial Intelligence and the Question of Human Operational Involvement

The U.S. Department of War is rapidly scaling the integration of artificial intelligence (AI) to the warfighter, streamlining routine tasks so operators can focus on what matters most. The successful launch of GenAI.MIL signals both momentum and institutional commitment to embedding AI across operational environments.

April 8, 2026

Controlling Command: Is AI Capturing the Ethics of War?

The integration of artificial intelligence (AI) with military operations is accelerating across global powers, including the United States, its allies, and competitor states such as China and Russia.

July 20, 2021

Sensor Wars: The Quantum Menace

Listen as CSWMD's Sarah Jacobs Gamberini and Dr. Robert (Bob) Wyllie, Senior Research Scientist and the Chief of the Quantum Systems Division at the Georgia Tech Research Institute, speak to the Center for Strategic and International Studies (CSIS) Tech Unmanned podcast about quantum sensors. The views expressed in the podcast are those of the individual and not the organization.

Dec. 1, 2020

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

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.

Strategic Assessment 2020: Into a New Era of Great Power Competition Oct. 26, 2020

Contemporary Great Power Technological Competitive Factors in the Fourth Industrial Revolution

In the latest Institute for National Strategic Studies (INSS) Strategic Assessment, Dr. T.X. Hammes and Dr. Diane DiEuliis explore how the convergence of new technologies is creating a fourth industrial revolution that will transform almost every aspect of 21st-century life.

July 10, 2020

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

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.

July 9, 2018

The Digitization of Biology: Understanding the New Risks and Implications for Governance

In research paper no. 3, Dr. Natasha Bajema, Dr. Diane DiEuliis, Mr. Charles Lutes and Mr. Yong-Bee Lim explore the implications of the digitization of biology, identify new risks and challenges for governance.

April 4, 2018

Emergence and Convergence: Risk Assessment Survey

Fort Lesley J McNair — In its multi-year study entitled Emergence and Convergence, the WMD Center is exploring the risks, opportunities, and governance challenges for countering WMD introduced by a diverse range of emerging technologies.