不可见假设：AGI的承诺与全球南方的未来
The Invisibility Hypothesis: Promises of AGI and the Future of the Global South
AI总结：
本文探讨AGI对全球南方的影响，指出其可能加剧或缓解全球不平等，强调基础设施和制度对人类相关性的决定性作用。
摘要：
关于人工通用智能的讨论大多集中在技术可行性、时间表和存在风险上，往往认为其社会影响在不同人群中是相同的。较少关注先进AI系统如何与现有的全球不平等互动。本文探讨了AGI对全球南方人群的影响，认为高度自主的一般目的认知系统的可用性并不保证公平的结果。我们证明，随着科学发现、经济协调和治理日益自动化，人类个体的相关性可能取决于基础设施访问、制度包容和地缘政治状况，而非技能或智力。在此设定下，全球南方面临不同的路径：在最好的情况下，地理位置不再相关，AGI将使全球所有人全面平等地获取知识和基本服务；在最坏的情况下，现有结构性限制被严重放大，使已经边缘化的群体不仅经济上不可见，而且在全局系统中功能上无关。我们基于当代AI部署的实证信号进行分析，并扩展到潜在轨迹，突出拉丁美洲、非洲和南亚的风险与机遇路径。
英文摘要：
Discussions surrounding Artificial General Intelligence have largely focused on technical feasibility, timelines, and existential risk, often treating its social impact as being the same across different populations. Less attention has been paid to how advanced AI systems may interact with existing global inequalities. This paper examines the implications of AGI for people in the Global South, arguing that the availability of highly autonomous, general-purpose cognitive systems does not guarantee equitable outcomes. We establish that, as scientific discovery, economic coordination, and governance become increasingly automated, the relevance of human individuals may become conditional on access to infrastructure, institutional inclusion, and geopolitical circumstances rather than skills or intelligence. Under this setting, the Global South faces different pathways: in the best case, geographic location is no longer relevant as AGI fully democratizes access to knowledge and essential services for everyone in the globe; in the worst case, existing structural constraints are severely amplified, rendering already marginalized populations not merely economically invisible, but functionally irrelevant to global systems. We ground this analysis in empirical signals from contemporary AI deployment and extend to potential trajectories, highlighting both risk and opportunity pathways for Latin America, Africa, and South Asia.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
