Published: 5 June 2026DD NewsRajasthan
Rajasthan State Cabinet Chaired by Chief Minister Bhajanlal Sharma Approves Rajasthan Artificial Intelligence and Machine Learning Policy 2026 on 6 June 2026 to Position the State as a Hub for Technology Driven Investment and Innovation Promoting Ethical and Responsible Use of AI in Public Services With Sector Strategies in Agriculture Healthcare Education Urban Governance and a Centre of Excellence
The Rajasthan State Cabinet chaired by Chief Minister Bhajanlal Sharma approved the Rajasthan Artificial Intelligence and Machine Learning Policy 2026, marking a major step in positioning the state as a hub for technology-driven investment and innovation. The cabinet decision, reported by Doordarshan News on 6 June 2026, aligns the policy with the larger Rajasthan Industrial Development Policy 2026, the IT and ITeS Policy and the Startup Policy under the Rising Rajasthan framework.
The primary objective of the AI and ML Policy 2026 is to make public services faster, more transparent and citizen-centric through the responsible, ethical and secure use of AI and ML, while enhancing administrative efficiency and promoting innovation-led economic growth. The policy lays out sector-focused strategies for agriculture, healthcare, education, skill development, urban governance, public safety and judicial administration, building on existing platforms such as Jan Soochna Portal, Raj eSign and the state data analytics framework.
Key features include creation of a State AI Mission with a dedicated Centre of Excellence, an AI Compute and Cloud Infrastructure plan, AI sandboxes for startups and academia, dedicated fiscal incentives for AI and ML units, and partnerships with central institutions like MeitY, IndiaAI Mission, IITs and IIITs. The policy also commits to a responsible AI framework covering data privacy, algorithmic transparency, bias mitigation, grievance redress and protection of constitutional rights, and integrates skilling programmes for at least one lakh young professionals through ITIs, universities and the Rajasthan Skill and Livelihoods Development Corporation.
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CoverageRajasthanTypePolicySubjectScience & TechnologyExamBasic Computer Instructor · CET Graduation · CET Senior Secondary · EO/RO · LDC · Mahila Supervisor · Patwar · PTI · RAS · REET · RPSC SI · School Lecturer · Senior Computer Instructor · Senior Teacher · UPSC · Vanpal · BothSourceDD News
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Consider the following statements regarding the Rajasthan Artificial Intelligence and Machine Learning Policy 2026: 1. The policy was approved by the Union Cabinet under the IndiaAI Mission of MeitY in June 2026. 2. The policy proposes a State AI Mission, a Centre of Excellence, AI sandboxes and a responsible AI framework covering data privacy and algorithmic transparency. Which of the statements given above is/are correct?
Explanation · Correct answer CStatement 1 is wrong: the policy was approved by the Rajasthan State Cabinet chaired by CM Bhajanlal Sharma (not the Union Cabinet). Statement 2 is correct: the policy proposes a State AI Mission, Centre of Excellence, AI sandboxes and a responsible AI framework covering data privacy and algorithmic transparency.
Frequently asked questions
Who chaired the Rajasthan Cabinet that approved the AI and ML Policy 2026?
Rajasthan Chief Minister Bhajanlal Sharma chaired the cabinet meeting that approved the Rajasthan AI and ML Policy 2026.
What is the primary objective of Rajasthan AI and ML Policy 2026?
To make public services faster, more transparent and citizen-centric through the responsible, ethical and secure use of AI and ML while promoting innovation-led economic growth.
Which sectors are covered by the Rajasthan AI and ML Policy 2026?
The policy covers agriculture, healthcare, education, skill development, urban governance, public safety and judicial administration.
What institutional mechanisms does the Rajasthan AI and ML Policy 2026 propose?
It proposes a State AI Mission with a Centre of Excellence, AI sandboxes, dedicated fiscal incentives, partnerships with IndiaAI Mission, IITs and IIITs, and a responsible AI framework.