Introduction
Artificial Intelligence (AI) has become central to addressing global challenges, including climate change, inequality and health crises. The report examines robotics, geospatial AI (GeoAI) and AI for communications networks, highlighting their role in advancing Sustainable Development Goals through coordinated, ethical and inclusive deployment.
The AI for good platform
Launched in 2017, the AI for Good platform connects governments, private sector actors and researchers to share use cases and develop solutions. It facilitates partnerships, standards development and knowledge exchange to scale AI applications for societal benefit.
Beyond generative AI: Harnessing innovative AI
The report focuses on three established AI domains. GeoAI integrates AI with geographic information systems to analyse spatial data for disaster prediction and resource management. Robotics enables applications such as rehabilitation exoskeletons and autonomous drones. AI in communications networks enhances connectivity, supporting services like mobile banking, telemedicine and smart cities.
Applications for human and planetary well-being
AI for human well-being
AI supports six key areas. In healthcare, medical robotics are projected to reach USD 52.41 billion by 2032, improving rehabilitation and monitoring. Agriculture uses AI and satellite data to address a projected 60% increase in food demand by 2050. AI also strengthens disaster response, disease mapping, education and social assistance, including personalised learning and early warning systems.
AI for planetary well-being
AI contributes to biodiversity conservation, disaster risk reduction, energy optimisation and pollution reduction. GeoAI enables environmental monitoring and early warning systems, while AI-driven simulations support climate mitigation. These applications demonstrate AI’s role in managing ecosystems and reducing environmental risks.
Creating an enabling environment for AI for good
Implementation challenges
Barriers include limited data availability, unequal infrastructure, low digital literacy and talent shortages. Additional risks include bias, privacy concerns, cybersecurity threats and high energy consumption. Uneven global access to infrastructure and data exacerbates inequality and limits deployment in low-income regions.
Five pathways towards AI for good
The report identifies five priority actions. First, improve data quality, access and governance to reduce bias and enhance interoperability. Second, expand digital infrastructure and connectivity to address global disparities. Third, strengthen AI literacy and workforce skills to support adoption. Fourth, implement responsible AI policies aligned with human rights and standards. Finally, develop inclusive digital ecosystems through collaboration and investment.
Collectively, these pathways require coordinated global action to ensure AI delivers equitable and sustainable outcomes while balancing innovation with ethical considerations.
