Synthetic data and ELSI-focused computational checklists-A survey of biomedical professionals' views.

ABSTRACT: Artificial intelligence (AI) and machine learning (ML) tools are now proliferating in biomedical contexts, and there is no sign this will slow down any time soon. AI/ML and related technologies promise to improve scientific understanding of health and disease and have the potential to spur the development of innovative and effective diagnostics, treatments, cures, and medical technologies. Concerns about AI/ML are prominent, but attention to two specific aspects of AI/ML have so far received little research attention: synthetic data and computational checklists that might promote not only the reproducibility of AI/ML tools but also increased attention to ethical, legal, and social implications (ELSI) of AI/ML tools. We administered a targeted survey to explore these two items among biomedi

SUBMITTER: Wagner JK 

PROVIDER: S-EPMC11578457 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature