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AI and Data Privacy: India's Government Concerns

AI and Data Privacy: India's Government Concerns

03 Jan, 2026

Generative AI (GenAI) platforms have been rapidly expanding in India, leading to significant concerns about data privacy and inference risks. As these platforms become more integrated into government operations, officials are questioning whether AI tools can track sensitive prompts from government officials and leverage the vast amounts of citizen data available. This is a pressing issue for many in the Union government.

The core of the debate revolves around two main areas. First, there is concern about whether queries made by high-ranking officials—such as senior bureaucrats, policy advisers, and influential academics—could be mapped to identify priorities, timelines, or weaknesses. This could potentially jeopardize sensitive governmental operations. Second, there is anxiety regarding whether anonymized mass usage data from millions of Indian users could be exploited by global firms.

Due to these concerns, some government departments have already issued directives prohibiting the use of AI services on official devices. For instance, the Finance Ministry instructed its employees to avoid AI tools like ChatGPT and DeepSeek, citing risks to the confidentiality of government data. Such measures reflect a growing awareness of the potential threats posed by foreign AI services.

Moreover, the Indian government is taking steps to develop its own indigenous large language models (LLMs) under the Rs 10,370-crore India AI Mission. This initiative is aimed at creating AI tools that are more secure and better suited for governance and public sector use. The government emphasizes the importance of using domestic digital tools, especially as trade relations with the United States have become strained.

In recent discussions, high-ranking officials, including the Prime Minister, have highlighted the necessity of fostering domestic digital platforms not just for payments and identification, but also for broader communication and knowledge ecosystems. This political push aligns with India's larger goal of reducing dependence on foreign digital services.

Despite the challenges, several GenAI companies have rolled out free access to their platforms in India, further complicating the landscape. The government’s efforts to nurture homegrown technology solutions reflect a desire for greater digital sovereignty and security. The ongoing debate over AI risks and the push for indigenous solutions will likely continue as India navigates the complexities of this rapidly evolving technological landscape.

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