This article examines how unequal access to AI innovation creates systemic challenges for developing countries. Differential access to AI innovation results from the acute competition between domestic and global actors. While developing nations contribute significantly to AI development through data annotation labor, they face limited access to advanced AI technologies and are increasingly caught between divergent regulatory approaches from democratic and authoritarian tendencies. This brief paper analyzes how more affordable AI engagement and Western countries' development cooperation present developing nations with a complex choice between accessibility and governance standards. I argue this challenge entails new institutional mechanisms for technology transfer and regulatory cooperation, while carefully balancing universal standards with local needs. In turn, good practices could help developing countries close the deepening gap of global technological divides, while ensuring responsible AI development in developing countries.

翻译：本文探讨了人工智能创新获取不平等如何为发展中国家带来系统性挑战。人工智能创新获取差异源于国内与全球行为体之间的激烈竞争。尽管发展中国家通过数据标注劳动为人工智能发展做出重要贡献，却面临获取先进人工智能技术的限制，且日益陷入民主化与威权化倾向的分歧监管路径之间。本简报分析了更可负担的人工智能参与方式及西方国家的发展合作如何使发展中国家面临可及性与治理标准之间的复杂抉择。笔者认为这一挑战需要建立技术转移与监管合作的新制度机制，同时审慎平衡普适标准与本土需求。相应地，良好实践有助于发展中国家弥合日益加深的全球技术鸿沟，同时确保发展中国家实现负责任的人工智能发展。