Competency Assessment

Competency assessment in artificial intelligence focuses on evaluating the capabilities and limitations of AI systems, particularly in complex or uncertain environments, aiming to ensure reliable and trustworthy performance. Current research emphasizes developing methods for quantifying AI competency, including probabilistic frameworks, deep generative models, and meta-learning approaches, often incorporating uncertainty quantification and self-assessment mechanisms. This work is crucial for building safe and effective AI systems across diverse applications, from autonomous navigation and medical diagnosis to human-robot collaboration and educational technologies, by providing a rigorous means to evaluate and improve AI performance.