India, AI governance, and a voice for the Global South

The article highlights the complexities of global tech diplomacy and India's aspiration for a middle power status. A middle power is a state that is not a superpower or a great power, but has moderate to large influence and international recognition. India's shift towards the US-led tech ecosystem, exemplified by its alignment with the semiconductor supply chain, creates a middle power dilemma. This alignment risks marginalizing the concerns of the Global South, which India traditionally champions. The upcoming UN Global Dialogue on AI presents an opportunity for India to pivot back to a leadership role, advocating for multilateral and multistakeholder governance that ensures equitable access to technology and protects against the hegemony of Big Tech. UPSC can explore the strategic implications of India's tech alliances and its role as a voice for the Global South in emerging domains like AI.

The transition from a focus on equity and inclusion to a pro-innovation regulatory approach raises critical governance questions regarding AI. The US's reluctance to engage in global multilateral AI governance, combined with its push for global adoption of its technology, mirrors the historical challenges seen with social media regulation. This dynamic risks creating a scenario where economic benefits are concentrated in the US while the Global South bears the externalities and harms. India needs to develop robust regulatory capacity to address real-world harms, protect user data, and ensure consumer protection. The challenge for policymakers is balancing the drive for technological advancement and capital investment with the imperative of safeguarding citizens against algorithmic bias and data exploitation. This connects to GS Paper 2 topics on government policies and interventions for development in various sectors and issues arising out of their design and implementation.

The article points out the economic and resource implications of AI development. The extraction of data, labor for data labeling, and resources for data centers primarily benefit foreign Big Tech companies, potentially hindering the development of a self-reliant domestic AI ecosystem. Despite land allocation for data centers, fundamental AI innovation in India has been slow, and semiconductor development remains focused on low-value assembly. To achieve strategic autonomy in technology, India must focus on building local AI ecosystems, fostering domestic innovation, and ensuring that economic value accrues within national markets. This includes cooperating with other Global South nations on shared infrastructure, compute capabilities, and interoperable standards to create a counterweight to dominant technological powers. This aligns with GS Paper 3 topics on indigenization of technology and developing new technology.