Odisha leads India’s digital future with a bold AI policy, integrating artificial intelligence into governance, healthcare, and education.
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pragativadi
In May 2025, the state of Odisha became the
first in India to officially adopt a statewide Artificial Intelligence Policy.
This landmark initiative established the
Odisha AI Mission, which aims to integrate AI into critical sectors such as
governance, agriculture, healthcare, education, disaster management, and
energy.
The policy is led by a high-level task force
and supported by a dedicated AI cell within the Odisha Computer Application
Centre. It is designed around four foundational pillars: digital
infrastructure, skills development, environmental sustainability, and
regulatory oversight. Emphasis is placed on deploying AI responsibly,
addressing bias, and ensuring transparency and data ethics.
The Odisha AI Mission is not a theoretical
framework but an active implementation plan. It sets clear objectives for
real-world application of AI across sectors:
By embedding AI into these services, Odisha
aims to improve outcomes for millions of residents, particularly in rural and
underserved regions.
To make the AI transformation inclusive,
Odisha’s policy places strong emphasis on education and workforce training. The
state plans to introduce AI education in 35 percent of its schools by 2029 and
aims to expand this to 90 percent by 2036. Curricula will include fundamentals
of AI, ethics, data literacy, and coding.
Odisha also plans to train up to 18,000
individuals annually in AI, machine learning, and cybersecurity. This includes
government employees, students, and small business owners. A new cadre of AI
officers will be appointed in every government department to oversee
implementation and ensure ongoing digital transformation.
The policy promotes sustainability by
encouraging renewable energy use in AI infrastructure, reducing environmental
impact while scaling digital innovation.
One of the first pilot projects under the AI
Mission is taking place in the tribal district of Rayagada. Health workers
there are using AI-enabled kits and mobile apps to track pregnancies and detect
complications in maternal health. The early results show improved service
delivery and better health outcomes in remote areas.
These pilots serve as practical demonstrations of how AI can bridge gaps in public service delivery and enhance the government’s ability to respond to community needs.
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