Sometimes an image is worth a thousand words (and much more than a thousand data points). Explore the water sustainability from a worldwide data perspective and the progress we are making jointly towards a much improved water resource management.

This perspective offers a real-time view of the worldwide news on water-related topics, providing us with a media perspective on the progress at the different fronts of SDG 6.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

 

AI has significantly influenced the progress of Sustainable Development Goal 6 (SDG 6), which aims to ensure the availability and sustainable management of water and sanitation for all. Between 2015 and 2023, there have been 1,118,737 scientific publications focused on the impact of AI on water and sanitation issues. These studies highlight AI’s potential in optimizing water resource management, predicting water quality, and enhancing the efficiency of water distribution systems. AI-driven models and algorithms can analyze vast datasets to identify patterns and anomalies in water usage, detect leaks, and predict the effects of climate change on water resources. Media exposure, with 88,675 news articles, underscores growing public interest and awareness of AI’s role in addressing water-related challenges. The development of 533 AI policies targeting SDG 6 indicates a commitment from policymakers to integrate AI technologies in water management practices, ensuring sustainable and equitable access to water and sanitation services.

Looking ahead, the next 5 to 10 years are poised to see further advancements in the application of AI to water and sanitation issues. We can expect the continued development of AI-powered tools for real-time monitoring and management of water quality and distribution, leading to more efficient and sustainable use of water resources. AI will play a critical role in predicting and mitigating the impacts of extreme weather events on water supply and infrastructure, enhancing resilience to climate change. Additionally, AI’s ability to optimize wastewater treatment processes will contribute to better sanitation practices and environmental protection. As AI technologies become more sophisticated and widely adopted, collaboration between governments, research institutions, and the private sector will be essential to ensure that AI-driven innovations are implemented effectively and ethically. This collaborative effort will help accelerate progress towards SDG 6, ensuring that clean water and sanitation are accessible to all, promoting health, and supporting sustainable development.

Here is your window to Water Sustainability through AI. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 6.