Monitoring Demilitarised Zones in the Age of Uncrewed and AI Systems: Lessons from the Korean DMZ

Demilitarised zones (DMZs) have demonstrated their utility in post-war peace processes. They separate forces, mitigating the risk of deliberate aggression or accidental incidents alike. However, the effective monitoring of DMZs can be challenging, because they tend to cover wide areas, sometimes with dangerous terrain replete with human-made and natural hazards. As such, parties responsible for monitoring DMZs rely on a passive posture where they simply respond to reported incidents, an active posture using personnel or technology wherever resources and the terrain will allow, or a combination of the two. With continued advances in uncrewed systems and artificial intelligence (AI), there are now ever-increasing calls for the employment of these technologies in DMZ monitoring functions.

This is true of the Korean DMZ, a 240 km-long, 4 km-wide swathe of land that bifurcates the Korean Peninsula between the Democratic People’s Republic of Korea (or North Korea) and the Republic of Korea (or South Korea). In this area, the South Korean government is seeking to enhance its monitoring capabilities by using uncrewed and AI-based systems. 

In theory, there are many benefits to this approach, but in practice, policymakers and practitioners must address five inter-related dilemmas to ensure that these technologies actually support peace implementation instead of contributing to unintended conflict and tension. The problems associated with these dilemmas are not insurmountable, but they require deliberate steps and conscious implementation to maximise the opportunities that modern technologies provide while mitigating their risks. The lessons from the Korean DMZ are applicable in any post-war demilitarized zone, including the one envisioned between Russia and Ukraine.

This Policy Brief proceeds as follows. It first outlines the function of DMZs in post-war environments and the practical challenges associated with monitoring them. It then examines the potential advantages that uncrewed and AI-enabled systems offer in addressing these challenges. Next, it assesses the implications of five inter-related policy dilemmas – legal, moral, technological, practical, and security – that arise from introducing such systems into DMZ contexts. This analytical framework is then applied to the Korean DMZ as a contemporary case study. Finally, policy recommendations are advanced aimed at ensuring that the use of emerging technologies strengthens, rather than undermines, peace implementation and long-term stability in DMZs.