Can AI developers avoid bias in public health applications?

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Bibliographic Details
Title: Can AI developers avoid bias in public health applications?
Authors: Harms RJ; Disability Innovation Institute, UNSW Sydney, Sydney, NSW, Australia.; Advanced Engineering Biology Future Science Platform, CSIRO, Brisbane, QLD, Australia., Ankeny RA; Philosophy Group, Wageningen University, Wageningen, Netherlands., Carter L; Advanced Engineering Biology Future Science Platform, CSIRO, Brisbane, QLD, Australia.; CSIRO Environment, CSIRO, Brisbane, QLD, Australia., Mankad A; Advanced Engineering Biology Future Science Platform, CSIRO, Brisbane, QLD, Australia.; CSIRO Environment, CSIRO, Brisbane, QLD, Australia., Scully JL; Disability Innovation Institute, UNSW Sydney, Sydney, NSW, Australia.
Source: Frontiers in public health [Front Public Health] 2026 Jan 13; Vol. 13, pp. 1752729. Date of Electronic Publication: 2026 Jan 13 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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