When machines misread science: creating guardrails for human and AI interpretation of biomedical research.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 42637916.
- Also identified by DOI 10.1038/s41746-026-03160-w and PMC identifier 13503881.
- Licence recorded as CC BY-NC-ND.
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Abstract
Artificial intelligence is increasingly acting as a first interpreter of biomedical research, shaping how evidence is applied to patient care. Simultaneously, science is reaching broader, non-specialist human audiences. In both cases, interpretive errors and generalization bias can skew clinical decision-making and endanger public health. Rather than waiting passively for more advanced AI to solve these problems, we contend that science itself can adapt by modernizing its reporting standards.