Rositsa Zaimova

Abstract Drawing on the experiences and lessons learned from researchers based in low- and middle-income countries (LMICs) that leverage generative artificial intelligence (GenAI) technologies to address socio-economic challenges, we showcase the considerable potential to use GenAI to accelerate the progress towards achieving some of the Sustainable Development Goals, as well as considerable obstacles for creating locally adapted AI tools for fair development in LMICs. An expanded evidence...

This article is a part of the Invest with Women: Strategies to Accelerate Progress series. In an era where advancements in artificial intelligence (AI) have caused excitement and AI-powered tools are increasingly influencing every aspect of our lives, it rightly underscores the need to ensure the fairness and responsibility of these systems, not only from a technical perspective but a moral and ethical imperative. The worries and fears about AI are widespread and real.

High-quality data serves as the cornerstone for robust planning and decision-making in public health. From designing health programs grounded in the needs of communities to developing advanced prediction and surveillance platforms to stay ahead of health threats, data plays an instrumental role in maximizing health equity in a measurable, transparent, and accountable way. Additionally, the benefits extend beyond the health sector.