Future Autonomous Collaborative Platforms (ACPs) will introduce AI-enabled uncrewed aircraft into the fleet. These platforms will assume significant tactical decision-making responsibilities and operate alongside traditional crewed aircraft. This paradigm shift complicates knowledge elicitation for post-mission debriefing, as it necessitates understanding both human and autonomous aircraft decision-making processes. This introduces a new research challenge: effectively logging the necessary information from human and ACP decision-actions for debriefing and presenting it to warfighters through innovative human-machine interfaces (HMIs). The primary objective of this topic is to prototype and develop debriefing approaches that effectively fuse the decision-making chains of both human operators and multiple autonomous ACPs, presenting that information clearly and concisely.