Innovation Tag: Artificial Intelligence (AI)

New Brunswick faces an urban development challenge driven by record population growth, which also impacts biodiversity flow on the outskirts of urban regions. This Project used advanced virtual simulation technology to help municipalities evaluate urban development and infrastructure solutions before implementation. By creating digital replicas of cities and rural land use, decision-makers can test hundreds of scenarios and make evidence-based choices that improve territory management.

“Madrid, Digital Capital” is a city-wide transformation model that redesigns how Madrid delivers services and makes decisions using real-time data and digital tools. It simplifies procedures, improves daily services and helps the city respond faster to citizens and businesses. It is innovative because it turns digital transformation into a single, measurable system for running government, not just isolated projects, and that is fully user and citizen centred and also environmental centred.

OTT2 helps Estonia’s Unemployment Insurance Fund identify which jobseekers are most at risk of long-term unemployment. It combines data from public registries and updates each person’s employment outlook as their situation changes, helping counsellors provide more timely and tailored support. This is innovative because it replaces a labour-intensive and inconsistent manual process with a dynamic, explainable and highly accurate system that improves how public resources are used.

Chile manages 400,000+ surgical waiting list records monthly. Cancer patients often remain invisible within this volume — despite facing 7.5x higher mortality than the rest. We built a sovereign in-house AI that screens oncological risk across all 29 national Health Services, flagging a high-risk group in hours instead of weeks. Sensitivity: 95%. Manual review burden cut 99.76%. No vendor, no black box: AI flags risk, humans decide. Every patient, every region, the same standard.

Tax laws are very complex, requiring much time from public servants to apply them consistently, check for errors, or predict the effects of changes. To address that challenge, Germany's Federal Ministry of Finance is piloting Rulemapping – a methodology that converts legal rule sets into structured visual diagrams, making the logic of the law easy to read, test, and analyse. Unique worldwide, it enables finding errors in laws and testing the effects of proposed changes before implementation.

Many citizens face difficulties navigating government websites because information is often complex, overly technical, or gender biased. To address this challenge, Tesorería General de la República developed AInclusiva, an AI tool that scans institutional content to provide instant recommendations for clearer, more empathetic, and inclusive communication. This innovation automates the alignment of public data with official accessibility standards, creating a scalable model to ensure no one is…

The Korean Ministry of Food and Drug Safety (MFDS) has developed SAFE-i24, an automated digital review system, to handle the growing number of imported food declarations. This allows inspectors to perform their duties more efficiently, and it has reduced unnecessary complaints. Additionally, importers can now process their declarations within five minutes, 24/7, saving both time and money during the customs clearance process.

“e-Qyzmet” is a central element of Kazakhstan’s digital public administration, fully automating HR processes and supporting national human resources policy. By centralizing data and ensuring transparent recruitment, evaluation, and promotion, it eliminates favoritism and boosts meritocracy. Covering 400+ HR processes across government bodies, the system enhances accessibility and sustainability in civil service.

Complex government documents may confuse citizens, making it difficult to access services such as pensions or benefits. This work engages GenAI to rewrite these texts in plain language, maintaining legal accuracy while increasing clarity. Focused on the Service Pages of Italy's National Institute of Social Security portal, which serves 45 million users, AI surpassed human experts in user preference, enabling the Institute to communicate inclusively and at scale.

Wildfires is one of the main causes of blackouts in Brazil. To monitor the thousands of Brazilian Transmission Lines (TLs), ANEEL created the GGT System, which consists of a tool that uses Artificial Intelligence and satellite images processing to preventively inspect the maintenance of TLs against wildfires. With the GGT System, there was a 89% reduction in shutdowns caused by wildfires, representing a great improvement in the reliability of the electricity offered to the Brazilian population.