Incoherence detection identifies objects or events that violate expected contextual or relational consistency. It depends on recognizing what belongs together and noticing when something is out of place. section 6.2.2
Recognizing what does not belong
People immediately understand that a car does not belong in a microwave, chairs do not fly, and a kitchen scene is unlikely to contain a hot tub or lawnmower. These judgments rely on connections between objects and their environments, not merely on recognizing pixels. section 6.2.2
Current AI systems struggle with this ability because object recognition does not automatically provide meaning, relationships, or practical expectations. Visual understanding also draws on reasoning and imagination, such as knowing that a plastic banana cannot ripen, peel, or be eaten. section 6.2.2
