AI doesn’t ‘see’ the way that you do, and that could be a problem when it categorizes objects and scenes

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

By: Arryn Robbins, University of Richmond; Eben W. Daggett, New Mexico State University, and Michael Hout, New Mexico State University, The Conversation

Outlets: The Conversation

Published: March 11, 2026

Words: 1,153

Last Updated: 4 months, 3 weeks ago

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By Arryn Robbins, University of Richmond; Eben W. Daggett, New Mexico State University, and Michael Hout, New Mexico State University

Even with no fur in frame, you can easily see that a photo of a hairless Sphynx cat depicts a cat. You wouldn’t mistake it for an elephant.

But many artificial intelligence vision systems would. Why? Because when AI systems learn to categorize objects, they often rely on visual cues – like surface texture …

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