How India Is Slowly Integrating AI into Government Systems

SUMMARY
India Takes Initial Steps Towards AI-Driven Governance
The Indian government is steadily embracing artificial intelligence (AI) across various ministries to enhance governance, improve service delivery, and boost operational efficiency. Although the integration of AI is still in its nascent stages, tools powered by AI are already being trialed and implemented in diverse sectors such as weather forecasting, healthcare, railways, public enterprises, and the judiciary.
Officials report that multiple ministries are employing AI for routine yet labor-intensive tasks, including meeting transcription, document translation, and the preparation of handover notes. Additionally, AI is being harnessed for more critical functions, such as climate forecasting, disease screening, and optimising processes within government run enterprises.
AI in Weather, Agriculture, and Public Services
Union Minister of State (Independent Charge) for Science and Technology and Earth Sciences, Jitendra Singh, highlighted that AI tools are being utilised for experimental weather and climate forecasting. Techniques like the Advanced Dvorak Technique (AiDT) are aiding in predicting cyclone intensity, while a combination of AI and dynamic models is being used to deliver more precise weather forecasts.
Moreover, the government is in the process of developing MausamGPT—an AI-driven chatbot intended to serve as a climate advisory tool for farmers and other stakeholders. This initiative aims to provide timely and simplified weather and climate information to assist in agricultural decision-making.
Indian Railways has also embraced AI to enhance operational efficiency. AI-enabled sensor cameras are deployed to identify unclean linen and monitor hygiene standards in kitchens. Additionally, the railways have instructed officials to utilise AI tools for preparing handover notes, clarifying that AI is intended solely for process support rather than decision-making.
Public Sector, Health, and Justice Witness Growing AI Adoption
Several central public sector enterprises (CPSEs) under the Ministry of Steel, including SAIL, NMDC, and MOIL, have introduced AI-driven digital tools aimed at process optimisation, cost reduction, predictive analytics, and anomaly detection.
In the healthcare sector, AI is playing a pivotal role in diagnosis and telemedicine. The health ministry has rolled out AI solutions for diabetic retinopathy detection and abnormal chest X-ray classification across multiple states, aiding in the screening of thousands of patients. Additionally, AI has been integrated into the e-Sanjeevani telemedicine platform through a Clinical Decision Support System (CDSS), enhancing consultation quality and standardising patient data across health centres.
The judiciary is also tapping into AI technologies. AI-based translation tools, optical character recognition (OCR), and natural language processing are being employed to translate Supreme Court and high court judgments into regional languages. The Supreme Court frequently utilises AI Panini, developed by the National Informatics Centre (NIC), to translate legal texts into all 22 official Indian languages.
Governance Framework and Future Directions
To establish a structured approach to AI adoption, the Ministry of Electronics and IT has recently unveiled the India AI Governance Guidelines. An AI governance group, led by the Principal Scientific Adviser, has been formed, including participation from regulators such as RBI, SEBI, CCI, and institutions like NITI Aayog. This group aims to develop national standards, audit mechanisms, and an AI incident database.
While experts commend the progress made, they caution that AI adoption remains fragmented and primarily pilot-driven. They emphasise the necessity for a “whole-of government” approach to transition AI from experimental phases to widespread implementation, particularly in priority sectors like health, agriculture, justice, and skill development.
As the demand for AI solutions rises, NIC is experiencing an influx of requests from ministries, indicating that India’s journey towards AI-enabled governance has commenced—though cautiously and incrementally.
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