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This perspective explores the impact of artificial intelligence on visual data interpretation and its implications for scientific practice.

Seeing, Interpreting, and Trusting Images in the Age of Artificial Intelligence

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This perspective explores the impact of artificial intelligence on visual data interpretation and its implications for scientific practice.
Analysis of the role of AI in image acquisition and interpretation in cell biology.
Discussion of case examples illustrating misinterpretations and synthetic image generation.
Advocacy for education in visual literacy and standards for image provenance.
AI improves image analysis throughput and precision but alters trust dynamics in visual evidence.
The necessity for human expertise in interpreting images remains, highlighting the importance of context.
Calls for enhanced education and formal recognition of imaging specialists to maintain interpretative standards.

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Perspective examines how AI impacts visual evidence trustworthiness in cell biology, emphasizing human expertise.

Cortese et al. (2026) studied this question.

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