As developed countries rapidly become more equipped in the governance of safe and beneficial AI systems, developing countries are slackened off in the global AI race and standing at risk of extreme vulnerabilities. By examining not only “how we can effectively govern AI” but also “who has the power to govern AI”, this article will make a case against AI-accelerated forms of exploitation in low- and middle-income countries, highlight the need for AI governance in highly vulnerable countries, and propose ways to mitigate risks of AI-driven hegemons.

This report was written as a custom case of the AI governance hackathon^[1].

Executive Summary

Advanced AI may accelerate forms of exploitation e.g. surveillance capitalism^[2] and data colonialism, making low- and middle-income countries the most vulnerable in the process of AI development and adoption.
Developing countries may face unique challenges, such as a lack of technological capability and governance frameworks, but they are also vulnerable to the potential negative impacts of AI systems exacerbating existing power structures, infrastructures, and inequalities.
To address these challenges, there is a need for increased transparency, regulation, and coordination between countries at both the global and local levels.
This includes incentivizing companies to prioritize transparency in their engagement with foreign countries, contextualizing international initiatives and guidelines to national AI policies, and mobilizing resources to enhance global equity in AI governance.

Introduction

With the exponential growth of AI systems and the potential emergence of superintelligence, our “risk society” preoccupied with the potential of a safe future^[3], is urged to figure out how to navigate ourselves in this continuously expanding black box. Thus, the coordination and response of the global political economy to this important time of human history will shape the state of the world and impact future generations to come. As developed countries rapidly become more equipped in the governance of safe and beneficial AI systems, developing countries are slackened off in the global AI race and standing at risk of extreme vulnerabilities.

This article brings attention to the impact of transformative artificial intelligence on developing countries and where they stand in the rising AI race dynamics. It also raises questions about whether...

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