Artificial intelligence is reshaping military decision-making. This concise overview explores how AI-enabled systems can enhance situational awareness and accelerate critical operational decisions—even in high-pressure, dynamic environments. Yet, it also highlights the essential need for clear operational scopes, robust training, and vigilant risk mitigation to counter the inherent challenges of using AI, such as data biases and automation pitfalls. This report offers a balanced framework to help military leaders integrate AI responsibly and effectively.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the fourth and final installment of a four-part series.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the third installment of a four-part series.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the second installment of a four-part series.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the first installment of a four-part series.

The United States leads the world in space launch by nearly every measure: number of launches, total mass to orbit, satellite count, and more. SpaceX’s emergence has provided regular, reliable, and relatively affordable launches to commercial and national security customers. However, today’s market consolidation coupled with the capital requirements necessary to develop rockets may make it difficult for new competitors to break in and keep the space launch market dynamic.

This report proposes an approach to systematically identify promising research using big data and analyze that research’s potential impact through structured engagements with subject-matter experts. The methodology offers a structured way to proactively monitor the research landscape and inform strategic R&D priorities.

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.

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.

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.