ABSTRACT

The arrival of AI technology promises to add a fascinating new chapter to development theory and practice. Current studies have made good progress in examining the potential contributions of AI to achieving sustainable development goals and addressing challenges in specific development areas (poverty, global health, human rights, environment etc.). However, four lessons stand out when considering the impact of future research on the AI/development nexus: learning how to access and combine data from multiple sources, how to master AI techniques to extract analytical insight, how to build socially impactful AI solutions, and how to apply AI to development in an ethically responsible fashion. This paper makes the argument that AI could radically transform development theory and practice by prompting a rethinking of how data and algorithms come together to generate insights into the way in which development challenges are identified, studied, and managed.

摘要

人工智能技术的到来有望为发展理论和实践增添迷人的新篇章。目前的研究在检查人工智能对实现可持续发展目标的潜在贡献和应对特定发展领域（贫困、全球健康、人权、环境等）的挑战方面取得了良好进展。然而，在考虑未来研究对人工智能/发展关系的影响时，有四个教训很突出：学习如何访问和组合来自多个来源的数据，如何掌握人工智能技术以提取分析洞察力，如何构建具有社会影响力的人工智能解决方案，以及如何以对道德负责的方式将人工智能应用于发展。