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GoR AI-Powered Policy Navigator — o Assistente RAG do Ruanda para Acesso a Políticas Governamentais

Ruanda · Kigali · Ver o perfil de Ruanda · Ver o perfil de Kigali

Evidência: Descritivo / autorreportado Top 67% 53/100 · Pergunte a Evidence Copilot sobre esta prática

Criado pela RISA com o NISR, o AIMS Rwanda e a Cenfri, o Policy Navigator do Ruanda responde sobre políticas públicas a partir de documentos oficiais verificados, e foi distinguido entre 59 de quase 400 candidaturas aos prémios AI for Good 2026 da UIT.

50
Professionals trained in the DSCBI first cohort
24
Government institutions represented in the DSCBI cohort
1 of 59 (from ~400 submissions)
Recognition among global submissions at ITU AI for Good 2026
GoR AI-Powered Policy Navigator — o Assistente RAG do Ruanda para Acesso a Políticas Governamentais

Detalhes

Maturidade
Piloto
Promotor
Rwanda Information Society Authority (RISA)
Período
2025-2026
Palavras-chave
digital government, policy analysis, public administration

Contexto

Civil servants and citizens in Rwanda often struggle to locate the specific, current version of a policy, regulation or strategy among scattered government documents, slowing both compliance checks and public information requests. The Rwanda Information Society Authority (RISA), working with the National Institute of Statistics of Rwanda (NISR), the African Institute for Mathematical Sciences - Rwanda (AIMS Rwanda), Mastercard and Cenfri, built the 'GoR AI-Powered Policy Navigator'.

Objetivos

The tool uses retrieval-augmented generation (RAG) to answer multilingual queries about policies, regulations and strategies, drawing responses exclusively from verified government sources, and includes a secure workspace and an automated policy-alignment checker against national frameworks.

Atividades

The Policy Navigator was built during the first cohort of the Data Science Capacity Building Initiative (DSCBI), a programme that trained 50 professionals from 24 government institutions, and was one of the top three projects from that cohort.

Resultados

The project was one of 59 projects, from nearly 400 global submissions, recognised at the ITU AI for Good Global Summit's Innovate for Impact 2026 awards, in the Open-Source AI for Global Impact category.

Conclusões

This is external, competitive validation of the concept, but neither RISA's announcement nor the award materials publish usage volumes, response-accuracy figures or a comparison of search time before and after; the efficiency claim that the tool 'significantly reduces time required to search through policy documents' remains self-reported.

Implementação
Custo indicativo
Baixo (< 50 mil €)
Tempo até resultados
Curto (< 1 ano)
Equipa e competências
Rwanda Information Society Authority (RISA), lead, National Institute of Statistics of Rwanda (NISR), African Institute for Mathematical Sciences - Rwanda (AIMS Rwanda), Mastercard, Cenfri

Condições de sucesso

  • Data Science Capacity Building Initiative (DSCBI) training 50 professionals from 24 institutions
  • RAG architecture restricted to verified government sources
  • Secure workspace and automated policy-alignment checker

Modos de falha comuns

  • No usage-volume, accuracy or before/after search-time figures published; the efficiency claim is self-reported

Habitualmente financiado por

National / regional programmes Philanthropic / foundation funding

Vias de financiamento indicativas para práticas deste tipo — verifique sempre os avisos abertos e as regras de elegibilidade de cada programa.

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Fontes de dados

De onde foi obtida a informação desta prática, e quando.

Anexos

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