AI in Governance: Revolutionizing Government Efficiency

The "AI in Governance: Revolutionizing Government Efficiency" session was a key component of the India AI Impact Summit 2026, held from February 16-20, 2026, in New Delhi. This session was organized by the Abdul Latif Jameel Poverty Action Lab (J-PAL) in collaboration with the Indian government, focusing on leveraging artificial intelligence to enhance the effectiveness and equity of government programs.

The session delved into the application of machine learning to improve targeted public service delivery, with a case study from Togo illustrating the impact of AI in optimizing resource allocation. Discussions also centered on the role of evidence in designing AI tools that strengthen state capacity and broaden citizen participation, emphasizing the importance of data-driven approaches in governance.

Attendees had the opportunity to engage with notable speakers, including Dean Karlan, Robyn Scott, Kapil Viswanathan, Mohammed Y. Safirulla, and Utkarsh Saxena, who shared their insights and experiences in implementing AI solutions within governmental frameworks. The session also provided networking opportunities for policymakers, technologists, and researchers interested in the intersection of AI and public administration.

This session was particularly relevant for government officials, policy advisors, data scientists, and technology developers aiming to understand and implement AI-driven solutions to enhance government efficiency and service delivery. Participants gained valuable knowledge on integrating AI into public sector operations to achieve more effective and equitable outcomes.