この事例は現在、英語でのみご覧いただけます。
インド公共部門2016 – 継続中Telangana state government
Samagra Vedika welfare eligibility algorithm
An Al Jazeera investigation found Telangana's welfare algorithm wrongly denied food cards to at least 7.5% of cases it could check
課題
The state wanted to remove ineligible and duplicate beneficiaries from food and other welfare schemes. Officials had data spread across dozens of departmental databases.
取り組み
Posidex Technologies built Samagra Vedika, which uses machine learning to match people across more than 30 government databases and build one profile each. It began in 2016 as a police tool, was piloted in the food security scheme that year and covered most state welfare schemes by 2018. Officials must consult it before approving applications and in practice usually defer to it.
主な数値
示唆
Officials usually followed the algorithm, and a court-ordered review found wrongful denials despite the state claiming tagging errors below 5%. The review covered only some cancelled cards, and the state refused to release source code.
分類
- 規模
- 大企業
- 業種
- 公共部門
- 業務機能
- 財務・リスク・法務
- イノベーションの類型
- プロセス・イノベーション
- AI技術
- 予測分析・機械学習
- 導入形態
- ベンダーのソリューション
- 根拠
- 報道
出典
出典の要約
Al Jazeera investigated the Posidex-built system and reported that over 1.86 million food cards were cancelled and 142,086 applications rejected in 2014-2019. Using data from a Supreme Court-ordered re-verification, the reporters estimated at least 7.5% of rejected cards were wrongly denied. Officials defended the system, said errors were under 5% and refused requests for source code.
Oxford Human Rights Hub described the system as an entity-resolution tool drawing on over 30 databases and reported the 1.86 million cancellations and 142,086 rejections. It says neither the vendor nor the state has published source code or accuracy data, and that officials in practice defer to the output. It also cited a 2024 Amnesty International investigation raising human rights concerns.
詳細は原典でご確認いただけます。
