Topic: AI in public services clear · back to the knowledge map
Kazakhstan's Digital Family Card uses predictive scoring across 100+ socio-economic indicators from 20+ agencies to proactively identify and serve vulnerable families. Since …
STF's Victor AI classifies Extraordinary Appeals by 'general repercussion' theme in ~5 seconds vs 44 minutes manually, handling ~50,000 cases/year. Built with …
VDAB has deployed multiple AI systems since 2018: a multilingual deep-learning job-matching engine; Orient 2.0 (orientation test reduced from 45 to 10 …
Austria's Predictive Analytics Competence Centre (PACC) uses machine learning to screen millions of tax cases for fraud. In 2023 it analysed 6.5M …
New Zealand's Inland Revenue uses ML to screen 3+ million tax returns for compliance risk. In H1 2024 this drove a 50% …
Canada Revenue Agency uses ML and AI-powered analytics to detect unwarranted GST/HST refund claims. Since 2017–18, over C$1.1 billion in carousel-scheme fraud …
Algeria's Ministry of Higher Education used an AI matching platform nationwide for the first time in 2025, placing 97.34% of 340,901 baccalaureate …
Kenya's KIPPRA, its Revenue Authority (KRA) and IFPRI built an AI-chat computable general equilibrium model for tax simulation; a 2024 run projected …
Bank of Canada researchers used ML on payments-system data to nowcast GDP and trade during COVID-19, cutting forecast error 20–40% versus benchmarks …
Since 2004, Singapore's RAHS platform and its Centre for Strategic Futures have used agent-based modelling, Bayesian networks and data analytics to scan …
Over four months, GovTech Singapore's own research team measured GitHub Copilot's effect on 70 government software engineers using IDE telemetry plus SPACE-framework …
The UK Government Office for Science built five structured AI Scenarios 2030 — derived from six critical uncertainties through expert workshops and …
Open full copilot Grounded in cited practices — always check the sources.
