A new study on arXiv addresses the transparency gap in automated planning for safety-critical domains. The research focuses on generating human-understandable explanations for hybrid systems used in healthcare and robotics. It targets the specific challenge of interpreting complex planner decisions. This work provides a theoretical basis for auditing autonomous systems in high-stakes environments.