Artificial Intelligence #dataset construction#suicidality detection
Before the Labels: How Dataset Construction Biases Suicidality Detection in Clinical Text
A new paper from arXiv argues that clinical NLP datasets built from electronic health records encode specific operationalizations of suicidality, shaped by governance constraints, ICD-based cohort selection, and annotation practices. The authors demonstrate that identical labels can subsume heterogeneous clinical framings, raising concerns for AI-driven healthcare decisions.
Jun 20, 2026 1 source