For all the rapid strides in Artificial Intelligence sweeping the world, one critical narrative is emerging clear and strong – the Global South is more a fulcrum in the pivot as recipient of the technology, but potentially the face of ethical and effective deployment of the revolutionary innovation.
While the narrative of AI governance has largely been dominated by frameworks in the Global North, a number of developing nations are already resoundingly demonstrating innovative measures particularly suited to their society and inputs of AI.
A dozen nations in the Global South are deploying AI to address pertinent developmental issues including improving access to financial resources, health resources in remote locations, optimizing agricultural fields, and utilizing data infrastructure to improve the provision of government service.
Notable is India, which is progressing handsomely under its National Artificial Intelligence Strategy, emphasizing digital inclusion and economic liberty through its Digital Public Infrastructure (DPI) framework. Similarly, Indonesia’s Financial Services Authority just inaugurated its AI Governance Guidelines, which seek to provide regulatory clarity and encourage the responsible growth of Artificial Intelligence in the financial sector.
Therefore, the Global South’s journey towards widespread AI application is lined with challenges. Such challenges include poor digital infrastructure, lack of AI professionals, and poor investment in research and development. The AI divide remains real, with developing nations falling far behind in computational and data capabilities for intricate AI systems when compared to economically advanced economies.
Additionally, poor research and innovation protection, algorithmic bias which may aggravate extant social inequalities, and poor privacy threshold for data storage become significant concerns to ensure AI systems perform well.
Despite these challenges, the Global South enjoys a unique, unparalleled advantage – its diverse societal structures and extreme development priorities are ideal, ethical workshop for AI adaptation.
They can avoid the external imposition of suitable governance, but rather co-create a governance approach informed and tailored with local values, norms, and human-centric principles. For example, IDEI Indonesia has developed the Indonesia Applied Digital Economy & Regulatory Network to demystify the AI for local communities.
The Global South AI governance leadership is not just an equity question but a strategic move for the global society. By including the perspective, particularly where the technology will directly and indirectly affect populations in a laid approach, the governance frameworks will be more robust, sustainable and truly inclusive.
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