Paper: GS – III, Subject: Science and Technology, Topic: Indigenization and Development of Technologies, Issue: Integrating Artificial Intelligence with Digital Public Infrastructure.
Context:
India has developed population-scale Digital Public Infrastructure (DPI) through platforms such as Aadhaar, UPI and DigiLocker. Integrating Artificial Intelligence (AI) with these systems can convert digital connectivity and data into better governance, inclusive growth and improved public services.
Key Takeaways:
Explanation:
Why is the integration important?
- India’s DPI generates population-scale information relating to payments, welfare delivery, mobility, taxation and economic activity.
- AI can convert this unstructured and fragmented information into actionable intelligence for administrators, businesses and citizens.
- Such integration can create Digital Public Intelligence, in which digital platforms not only deliver services but also support informed decision-making.
Major opportunities:
- Better governance: AI can help governments identify service gaps, forecast public needs and allocate resources more efficiently.
- Targeted welfare: It can improve beneficiary identification, detect duplication and reduce leakages in welfare programmes.
- Financial inclusion: AI-based credit assessment can help small businesses and informal workers lacking conventional credit histories.
- Accessible services: Multilingual AI assistants can enable citizens to use government services in their preferred languages.
- Economic innovation: Open digital platforms allow start-ups to develop applications without building expensive infrastructure from scratch.
- Employment potential: AI applied to agriculture, healthcare, education and logistics can create locally relevant services and complementary jobs.
Challenges and concerns:
- Poor-quality or biased datasets may generate discriminatory or inaccurate decisions.
- Linking different databases can increase the risks of surveillance, profiling, cyberattacks and privacy violations.
- Automated decisions may lack transparency, accountability and adequate grievance-redressal mechanisms.
- Fragmented departmental databases and limited administrative capacity can weaken interoperability.
- Automation may displace routine jobs unless workers receive timely reskilling.
Way Forward:
- Public AI systems should follow the principles of privacy by design, informed consent, data minimisation and purpose limitation.
- Independent algorithmic audits, cybersecurity safeguards and human oversight are necessary for decisions affecting rights and entitlements.
- India should invest in multilingual datasets, domestic computing capacity, open standards, research and public-sector training.
Conclusion:
The convergence of AI and DPI can transform India’s digital scale into enhanced State capacity and mass prosperity. However, technological efficiency must remain anchored in constitutional values, citizen rights, transparency and human accountability.
Source: (The Indian Express)
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