P.K. Mishra, Principal Secretary to Prime Minister Narendra Modi, said India must strengthen its statistical ecosystem through digital reforms and administrative data [1, 2].
Reliable data serves as the foundation for evidence-based policymaking. By modernizing how the state collects and analyzes information, the government aims to ensure that development goals are met with precision and transparency.
Mishra said digital public infrastructure plays a role in this transformation [1, 2]. He said artificial intelligence can significantly enhance the speed and scale of data collection and analysis. However, he said technology cannot replace human oversight, stressing that human validation remains essential for official statistics to be considered reliable and timely [1, 2].
The push for these reforms is tied to the Viksit Bharat vision, which seeks to transform India into a developed nation [1, 2]. To achieve this, Mishra said the country needs a trusted statistical system that can provide accurate insights into the socio-economic landscape.
Strengthening the ecosystem involves a shift toward greater use of administrative data [1, 2]. This approach reduces reliance on traditional, slower survey methods and allows the government to react more quickly to emerging trends. The integration of AI is intended to supplement these efforts rather than automate them entirely [1, 2].
These efforts were highlighted during discussions on June 11, 2026 [2]. The focus remains on balancing the efficiency of new technology with the rigorous verification required for high-stakes governance [1, 2].
“Human validation remains essential for reliable, timely official statistics.”
The emphasis on human validation amid AI integration suggests that the Indian government is wary of 'hallucinations' or systemic errors in automated data. By prioritizing a hybrid model of AI efficiency and human oversight, India seeks to avoid the policy failures that result from flawed data, ensuring that the ambitious Viksit Bharat development targets are based on verified reality rather than algorithmic projections.
