Welfare at the mercy of the machine | Current Affairs | Vision IAS

Daily News Summary

Get concise and efficient summaries of key articles from prominent newspapers. Our daily news digest ensures quick reading and easy understanding, helping you stay informed about important events and developments without spending hours going through full articles. Perfect for focused and timely updates.

News Summary

Sun Mon Tue Wed Thu Fri Sat

Welfare at the mercy of the machine

2 min read

Automation and Welfare Systems

Overview

The discussion revolves around the impact of automation, specifically the use of Facial Recognition Software (FRS), on welfare systems in India, drawing parallels to Kurt Vonnegut's novel, Player Piano.

Context: Anganwadis and Welfare Delivery

  • Anganwadis were established in 1975 under the Integrated Child Development Scheme to combat child malnutrition.
  • Currently, there are about 14.02 lakh Anganwadi centers in India.
  • Each center is staffed by an Anganwadi Worker (AWW) and a helper, primarily women from local communities.
  • They provide preschool services and Take Home Rations (THR) for children under three, and pregnant and lactating women.

Introduction of Poshan Tracker

  • Launched by the Union Government in 2021 to monitor nutrition initiatives.
  • AWWs must use the app to upload nutritional data, which many find challenging due to technical constraints.
  • From July 1, THR distribution is contingent on identity authentication using FRS.

Issues Arising from FRS Implementation

  • FRS usage presumes guilt over innocence, contrary to natural justice principles.
  • AWWs face numerous technical difficulties due to software errors and unreliable network connectivity.
  • Challenges in authenticating rights-holders lead to increased workload and frustration.

Main Problems in THR Distribution

  • Poor quality and irregular supply of rations.
  • Stagnant budget allocation since 2018.
  • Corruption in contract allocation despite Supreme Court directives for decentralization.

Recommendations and Concerns

  • FRS should not replace community monitoring in verifying beneficiaries.
  • Technological solutions like FRS, often used in criminal contexts, may stigmatize vulnerable populations.
  • There is a call for transparency if there are reports of fraud involving "fake beneficiaries."

Conclusion

The article highlights the tension between technological advancement and human dignity, advocating for thoughtful integration of technology in welfare systems to avoid dehumanization.

  • Tags :
  • Automation
  • Facial Recognition Software (FRS)
Subscribe for Premium Features

Quick Start

Use our Quick Start guide to learn about everything this platform can do for you.
Get Started