Self-assessment of Proficiency of Intelligent Systems: Challenges and Opportunities

Autonomous systems, although capable of performing complicated tasks much faster than humans, are brittle due to uncertainties encountered in most real-time applications. People supervising these systems often rely on information relayed by the system to make any decisions, which places a burden on the system to self-assess its proficiency and communicate the relevant information.