MetaCOG: Enhancing AI Vision with Human-Inspired Metacognition
In collaboration with Marlene Berke and the Computational Social Cognition Lab at Yale, we’re introducing MetaCOG, a probabilistic model that can learn a metacognitive model of a neural object detector and use it to improve the detector’s accuracy without feedback. This represents a step towards building AI systems that can go beyond representing their inputs and also represent their own thought processes.