Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images

• URL: http://arxiv.org/abs/2002.03024v1
• Date: Fri, 7 Feb 2020 21:49:58 GMT
• Title: Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images
• Authors: Shane T. Mueller
• Abstract summary: 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. I offer three strategies for system design that can address the mismatch between human and AI classification.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Modern AI image classifiers have made impressive advances in recent years, but their performance often appears strange or violates expectations of users. This suggests 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 to 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.

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