Srinagar, Sep 21, KDC: The Jammu and Kashmir Government has constituted two committees to identify practical applications and use cases of Artificial Intelligence (AI) for establishing an AI-enabled, citizen-centric governance system in the Union Territory.
According to Government Order No. 1545-JK(GAD) of 2026 dated September 21, issued by the General Administration Department, the move is aimed at leveraging emerging digital technologies for better governance, faster decision-making and improved citizen service delivery.
The order provides for an Apex Committee headed by the Chief Secretary, with the Financial Commissioner (Additional Chief Secretary), Finance Department; Commissioner Secretary, Information Technology Department; Director, IIT Jammu; State Informatics Officer, J&K, NIC; a representative of BISAG and representatives of concerned administrative departments as members.
The Apex Committee will approve action plans for individual departments and review their implementation, besides taking measures to address bottlenecks and streamline execution.
The government has also constituted a Core Committee headed by the Commissioner Secretary to the Information Technology Department, with the Director, IIT Jammu, as co-chairperson. The State Informatics Officer, representatives of concerned administrative departments and BISAG will also be part of the committee.
As per the order, the Core Committee will collaborate on identifying and developing AI-driven solutions tailored to administrative and developmental requirements and identify AI use cases for pilot deployment, while ensuring their integration with existing e-governance infrastructure, digital portals and departmental workflows.
The committee has also been tasked with preparing a structured roadmap for departmental adoption of AI, with emphasis on measurable public value, citizen-centric services and operational efficiency. It will ensure responsible AI practices, compliance with statutory data protection norms, algorithmic transparency, sustainability and scalability.
The order further assigns the committee the task of identifying systemic and technical bottlenecks, establishing key performance indicators and milestone-based monitoring mechanisms, and assessing the feasibility of in-house AI development against procurement from external vendors.
The committees will be serviced by the Information Technology Department, which has been directed to prepare a time-bound departmental calendar for sector-specific deliberations to identify AI use cases and design targeted interventions. (KDC)
