Title

Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images

Document Type

Article

Publication Date

7-1-2020

Department

Department of Cognitive and Learning Sciences

Abstract

© 2020 by Human Factors and Ergonomics Society. Modern artificial intelligence (AI) image classifiers have made impressive advances in recent years, but their performance often appears strange or violates expectations of users. This suggests that humans engage in cognitive anthropomorphism: expecting AI to have the same nature as human intelligence. This mismatch presents an obstacle to appropriate human-AI interaction. To delineate this mismatch, I examine known properties of human classification, in comparison with image classifier systems. Based on this examination, I offer three strategies for system design that can address the mismatch between human and AI classification: explainable AI, novel methods for training users, and new algorithms that match human cognition.

Publication Title

Ergonomics in Design

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