Investigating Concept Alignment Using Implausible Category Members

This research investigates AI systems' understanding of everyday concepts by probing their assignment of objects to both plausible and implausible categories. It aims to characterize concept boundaries by comparing AI systems' assignments with human participants' responses from a classic psychological study.