New Method Measures Difficulty of Adapting to Unexpected Changes in AI
AI systems need to adapt to unexpected changes in the real world. A new method has been developed to measure how difficult it is for AI to handle these surprises. By assessing how well AI can perform a task after encountering something new, researchers can better train AI systems. The method accurately approximates the difficulty of dealing with novelty, as shown by evaluating AI agents designed to handle unexpected situations.