Trust, mistrust, and the promise of AI in genomics for African populations
Amadou Gaye, Vence L. Bonham, Tesfaye B. Mersha · 2026
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Description
Amadou Gaye, Vence L. Bonham, and Tesfaye B. Mersha argue in 2026 that trust must anchor artificial intelligence in genomics for African populations. African ancestry holds the deepest human gene diversity, yet forms barely one percent of genome study members. Models trained elsewhere can misread risk and drug response for African patients. Old harms and present exclusion both feed mistrust of research systems.
The authors call for open and explainable tools, African-led data growth, and governance rooted in local culture. Validation must run in the populations where tools will be used. Without those steps, smart genomics could widen global gaps. Trust is framed as infrastructure, not an afterthought.
Catalog record
| CREATOR | Amadou Gaye, Vence L. Bonham, Tesfaye B. Mersha |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22450 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |