Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Family planning AI chatbot benchmarking

Domaine:

healthcarenatural language processing
Créateur:
STABihMurCir
Éditeur:
F10
Hôte:
The START team supported the Gates Foundation's strategic planning for improving Family Planning outcomes among young adults aged 18 – 24 by proposing a feasible evaluation approach, beyond traditional RCTs for large language models, AI-powered family planning chatbots. The project involved deriving an evaluation design strategy of the family planning chatbot in Kenya and Senegal, key informant interviews with subject matter experts, and a benchmarking process of the chatbot’s performance across key metrics, including safety, accuracy, data privacy, and security. The team evaluated feasibility, safety, accuracy, and user engagement considerations, ultimately recommending a pragmatic, implementation science–informed evaluation strategy appropriate for adaptive digital tools.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/