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:
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:
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, […]
