Large language models perpetuate bias in palliative care: Development and analysis of the Palliative Care Adversarial Dataset (PCAD).
Akhras N; Antaki F; Mottet F; Nguyen O; Sawhney S; Bajwah S; Davies JM · 2026 · PLOS digital health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Bias and inequity in palliative care disproportionately affect marginalised groups. Large language models (LLMs), such as GPT-4o, hold potential to enhance care but risk perpetuating biases present in their training data. This study aimed…
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Metadata source: Europe PMC · DOI 10.1371/journal.pdig.0001451