Font size:
Print
AI-driven Governance
Context:
The government is leveraging artificial intelligence (AI) across various ministries, including IT, coal, and telecom, to enhance services, streamline workloads, improve logistics, and block spam calls.
Application of AI in governance:
- The India AI Mission, an initiative of the Ministry of Electronics and Information Technology (MeitY), has set an agenda: Drive the technology’s innovation and adoption across the country.
- Predictive Analytics & Fraud Detection: MeitY leverages AI tools like predictive analytics, facial recognition, and natural language processing to streamline operations across ministries.
- The National Informatics Centre uses AI to automate document analysis and fraud detection.
- Corporate Affairs & AI in Governance: The Ministry of Corporate Affairs (MCA) uses AI to send reminders for regulatory filings and issue notices, ensuring compliance without replacing human decision-making.
- AI in Logistics – Coal Ministry’s Smart Plan:The Coal Ministry is developing an AI-driven logistics platform for efficient fuel transportation and supply chain management, expected to be fully operational in two years.
Agriculture: AI-Powered Kisan e-Mitra & Pest Surveillance
- The Agriculture Ministry uses AI-powered tools like the Kisan e-Mitra chatbot for farmer queries and a National Pest Surveillance System to detect crop issues.
Telecommunications: Curbing Spam & 5G Digital Twin Initiative
- The Department of Telecommunications (DoT) is using AI to curb spam communications and integrate AI and 5G for the Digital Twin initiative, improving infrastructure planning.
External Affairs: AI in Passport Seva Programme
- Finance Ministry: AI in Tax Compliance:The Finance Ministry uses AI to manage Income Tax and GST data, improving tax compliance and tackling evasion.
AI in Governance and Data Driven Governance:
Data-driven governance refers to the practice of utilising data analytics and insights to inform decision-making, optimise public services, and enhance government operations.
Applications:
- Smart Cities: Urban data helps manage resources like electricity, water, and transportation systems more efficiently.
- Public Health: Data can track disease outbreaks, vaccination campaigns, and resource allocation.
- Environmental Management: Governments can monitor and regulate air and water quality, and predict environmental hazards using real-time data.
- Law Enforcement: Data analytics help in crime prediction, allocation of police resources, and improving public safety.
Conclusion:
The integration of AI in central government governance is transforming how services are delivered and managed, driving efficiency, transparency, and enhanced citizen engagement. As AI technologies continue to evolve, their role in governance is likely to expand further, shaping the future of public administration in India.