Ethical AI in International Development

Digital development is an integral facet of the Sustainable Development Goals (SDGs). It underpins many of the objectives, from fostering innovation and infrastructure (SDG 9) to reducing inequalities (SDG 10) to contributing to peace, justice, and strong institutions (SDG 16). As our world becomes increasingly interconnected, the potential of digital solutions to transcend geographical and socio-economic barriers grows exponentially, offering opportunities to tackle global challenges.

Against this backdrop, AI stands out as a pivotal force. AI integration could add $15.7 trillion to the global economy by 2030, offering a wide range of opportunities to bolster resilience and address development challenges across healthcare, education, social and financial inclusion, manufacturing, energy and disaster risk management.

As with any new and widely adopted technology, especially ones as powerful and potentially pervasive as AI, the benefits also come with risks that must be appropriately managed and mitigated. AI has already begun to make its mark on international development, but it is crucial to consider its responsible implementation. As AI’s capabilities grow, its impact on low- and middle-income countries is not a given – it matters how this technology is adapted and applied in local contexts.

This discussion will explore the ethical use of AI across the international development sector and the roles of governments and the private sector in shaping and managing its use. Our speakers will discuss how AI can accelerate development, the importance of localisation and social protection measures, and the potential benefits and distinctions for adoption in emerging and developing countries. They will draw on case studies from development programming in Rwanda, Ukraine, Malawi, and South Africa. In the context of international development, this event will examine best practices for enabling more of the world to harness the benefits of AI, alongside key considerations for adapting these technologies and mitigating associated risks.