- The Central government has introduced an Artificial Intelligence (AI)-based facial verification upgrade to the attendance application used for the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS). - The upgrade aims to curb proxy attendance, plug leakages, and ensure greater transparency and accountability in the rural jobs scheme. - It works through the National Mobile Monitoring System (NMMS) app, verifying workers' identities against stored digital database profiles using facial recognition technology. - While proponents highlight administrative efficiency and reduced corruption, critics and workers' unions have raised concerns regarding digital exclusion, connectivity issues, and technological glitches in rural areas. - **Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS):** A demand-driven Indian social welfare legislation guaranteeing 100 days of unskilled manual wage employment per financial year to every rural household whose adult members volunteer for such work. - **National Mobile Monitoring System (NMMS):** A digital platform launched by the Ministry of Rural Development to capture real-time attendance and geo-tagged photographs of workers at MGNREGS worksites to promote transparency. - **Ministry of Rural Development:** The nodal central ministry responsible for the formulation and implementation of policies and rural development programs aimed at poverty alleviation, livelihood security, and infrastructure in India. **Introduction** The Central government has introduced an AI-based facial verification upgrade to the attendance application (National Mobile Monitoring System) for the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS). The move is designed to enhance transparency, prevent fraudulent entries, and curb proxy attendance, though it sparks ongoing debates regarding digital accessibility and grassroots execution challenges in rural welfare schemes. **Core Issue and Detailed Points** - The Central government has introduced an Artificial Intelligence (AI)-based facial verification upgrade to the attendance application used for the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS). - The upgrade aims to curb proxy attendance, plug leakages, and ensure greater transparency and accountability in the rural jobs scheme. - It works through the National Mobile Monitoring System (NMMS) app, verifying workers' identities against stored digital database profiles using facial recognition technology. - While proponents highlight administrative efficiency and reduced corruption, critics and workers' unions have raised concerns regarding digital exclusion, connectivity issues, and technological glitches in rural areas. **Key Statutory Bodies, Acts & Concepts** - **Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS):** A demand-driven Indian social welfare legislation guaranteeing 100 days of unskilled manual wage employment per financial year to every rural household whose adult members volunteer for such work. - **National Mobile Monitoring System (NMMS):** A digital platform launched by the Ministry of Rural Development to capture real-time attendance and geo-tagged photographs of workers at MGNREGS worksites to promote transparency. - **Ministry of Rural Development:** The nodal central ministry responsible for the formulation and implementation of policies and rural development programs aimed at poverty alleviation, livelihood security, and infrastructure in India.