SDG observatory – Bias analysis in breathalyser testing in traffic

This use case applies AI4Gov tools to detect bias and inconsistencies in breathalyser testing and traffic accident data in Slovenia. By analysing regional variations and data completeness, it supports fairer and more transparent road-safety policies aligned with the Sustainable Development Goals (SDGs). Key points: 📁 Use case documentation

SDG observatory – Rare diseases

This use case leverages the AI4Gov tools to improve data completeness, transparency, and fairness in global rare disease research. By applying AI-driven analytics to patient-reported outcomes (PROs), the SDG Observatory identifies missing or biased data and visualises global disparities, supporting more equitable and evidence-based policymaking in healthcare. Key points: 📁 Use case documentation

IRCAI global top 100 projects

This use case supports the IRCAI Top 100 initiative, which highlights AI solutions contributing to the United Nations Sustainable Development Goals (SDGs). Within AI4Gov, the project develops new tools and methodologies to assess bias, improve ethical evaluation, and strengthen the credibility and fairness of submitted AI projects. By enhancing evaluation methods and providing self-assessment tools, […]

Water management cycle – Sewage water

This use case applies the AI4Gov tools to improve sewage water management in the Province of Badajoz, Spain, by forecasting water quality issues and energy consumption in wastewater treatment. Using predictive analytics and a user-friendly interface, the system helps technicians and policymakers act proactively and sustainably to protect both the environment and public health. It […]

Water management cycle – Drinking water

This use case applies AI4Gov tools to enhance drinking water management in the Province of Badajoz, Spain, by predicting inefficiencies in water quality and energy consumption. Through smart forecasting, reporting, and intuitive dashboards, technicians and policymakers can monitor key water parameters, detect anomalies early, and make data-driven decisions to improve service quality and sustainability. Citizens […]

Traffic Management

This use case utilizes the tools developed in the AI4Gov project to improve traffic management and road safety, especially during periods of high tourist traffic. Thanks to predictive models and interactive dashboards, the administration can anticipate critical issues and make more effective decisions, while citizens and visitors can access useful information and contribute feedback in […]