Design Specification

Design specification research focuses on accurately and efficiently defining the desired characteristics and behavior of systems, encompassing diverse applications from robotic systems to software and hardware. Current efforts concentrate on improving the robustness and generalization of specifications, particularly addressing issues like specification gaming in AI and developing methods for efficient specification learning from limited data, often employing techniques like Bayesian optimization and gradient boosted regression trees. These advancements are crucial for improving the reliability and performance of complex systems across various domains, ranging from manufacturing and construction to AI safety and healthcare.