Real Time Safety Assessment

Real-time safety assessment (RTSA) focuses on rapidly evaluating and mitigating risks in dynamic systems, encompassing diverse applications from autonomous vehicles to AI-powered text generation. Current research emphasizes developing robust algorithms, such as control barrier functions (CBFs) and interval observers, to ensure safety in non-stationary environments characterized by unpredictable changes and disturbances. These methods are implemented using various techniques including quadratic programming and beam search algorithms, often integrated with machine learning models for improved accuracy and efficiency. The advancements in RTSA are crucial for enhancing the reliability and trustworthiness of increasingly complex systems across various sectors.