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India's Trust-by-Design Approach Aims to Scale Responsible Artificial Intelligence
India is using artificial intelligence to help people and businesses at a very large scale.
It is adding AI to systems that already support identity, payments, healthcare, and travel.
One example is checking health insurance claims faster.
Another is using facial recognition for airport journeys.
The article says AI should be designed to be safe, fair, and accountable from the beginning.
It also says organizations should be able to choose different AI models instead of relying on only one.
Sensitive information should stay protected, including through computing systems located in India.
Schools, universities, and workplaces will need to teach people how to use AI responsibly.
The author believes these steps could help India show how to use AI effectively for a billion people.
The MANAV framework sets five pillars for AI governance: ethics, accountability, sovereignty, inclusion, and safety.
India is adding AI capabilities to digital public infrastructure supporting identity, payments, credentials, healthcare, and travel.
AI reportedly validates 1.2 million monthly PMJAY claims and reduced processing time from 48 hours to under 24 hours.
The article argues that open AI ecosystems, sovereign models, and sovereign cloud can support India-specific needs.
The author says secure architecture, continuous monitoring, education, and workforce training are essential for trustworthy AI adoption.
- Who
- India, its policymakers, enterprises, workers, and AI users; the article was written by Sandeep Dutta, President of AWS India & South Asia.
- What
- India is developing and deploying AI alongside digital public infrastructure, with an emphasis on trust, governance, inclusion, security, and skills.
- Where
- India, including New Delhi, major metropolitan areas, and tier-2 and tier-3 cities.
- When
- The article discusses India’s current AI expansion and cites August 2026 UPI figures.
- Why
- To ensure AI can scale responsibly, protect sensitive data, support diverse users, and deliver lasting value.
Key facts
- AI governance framework
- The MANAV framework identifies five pillars: moral and ethical systems, accountable governance, national sovereignty, accessible and inclusive design, and verifiable and safe AI.
- PMJAY beneficiaries
- The article says PMJAY serves more than 550 million beneficiaries.
- Claims processing
- AI reportedly validates 1.2 million monthly claims and reduced processing time from 48 hours to under 24 hours.
- Digi Yatra usage
- Digi Yatra has supported more than 100 million journeys since its app was launched.
- UPI activity
- In August 2026, UPI recorded 24.51 billion transactions valued at ₹29.82 trillion, according to the article.
- Proposed safeguards
- The article calls for visibility into AI operations, defined permissions, continuous monitoring, and clear accountability.
- Workforce preparation
- It advocates AI literacy in schools and universities and continuous training across the workforce.
Sources
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