Question to the Ministry of Defence:

To ask the Secretary of State for Defence, if he will publish a list of the systems and technologies that utilised autonomy and/or machine learning during the Contested Urban Environment (CUE) exercise with the five-eye nations in September and October 2021.

CUE2021 was a multi-national event to test the latest intelligence, surveillance and reconnaissance technology capabilities, working with US, Australian, Canadian and New Zealand allies. It comprised a series of experiments that were designed to explore new technologies that could help address some of the challenges faced by military personnel operating in overseas city environments.

The following technologies that attended CUE2021 employed either autonomy or machine learning:

Technologies and advanced sensors to enhance Intelligence Surveillance and Reconnaissance capability:

• Sensors for Asset Protection using Integrated Electronic Network Technology
• WISDOM Research & Development Platform for Data/Information/Knowledge Integration, Fusion, and Analytics
• Network Uncrewed Systems for Intelligence Preparation of the Environment
• Command & Control for Uncrewed Vehicle Transfer of Tactical Control.

Systems to autonomously prioritise information that is presented to the human analyst, using Artificial Intelligence and Machine Learning to identify threats:

• RESTful Analytics
• Artificial Intelligence for the detection of crowds
• Sieve, Process, Forward
• Track Analytics for Effective Triage of Wide Area Surveillance Data

Robotic and Autonomous Systems to remove human operators from dangerous tasks by supporting logistics re-supply:

• Joint Tactical Autonomous Resupply and Replenishment.