AI-driven data complementarity to support international researchers in climate, health, and agriculture
The potential for AI to support decision making in international development for climate, health, agriculture and associated domains is significant, but the bias within current AI models favour data and use cases from high-income countries means that there is limited potential to satisfy the needs and requirements of users, data stakeholders and communities in low-… Continue reading AI-driven data complementarity to support international researchers in climate, health, and agriculture