AI aids in forecasting climate change trends and pinpointing potential impact zones. In this chart we show the droughts, floods, extreme temperatures (% of population, average 1990-2009).

This perspective offers a real-time view of the worldwide news on climate change-related topics, providing us with a media perspective on the progress at the different fronts of SDG 13.

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 13 (SDG 13), which focuses on taking urgent action to combat climate change and its impacts. Between 2015 and 2023, there have been 1,421,980 scientific publications exploring the role of AI in addressing climate change. These studies highlight AI’s potential to enhance climate modeling, optimize renewable energy systems, and improve resource management. AI technologies can analyze vast datasets to predict climate patterns, assess environmental impacts, and develop mitigation strategies. Media exposure, with 124,045 news articles, reflects substantial public interest in the role of AI in combating climate change. Additionally, the development of 469 AI policies targeting SDG 13 indicates a growing commitment from policymakers to integrate AI into climate action plans, focusing on reducing greenhouse gas emissions, enhancing climate resilience, and promoting sustainable development.

Looking ahead, the next 5 to 10 years are expected to witness further advancements in AI applications for climate action. AI-driven climate models will become more sophisticated, providing more accurate predictions and enabling better-informed decision-making. AI will play a crucial role in optimizing the integration of renewable energy sources, such as wind and solar power, into the energy grid, enhancing efficiency and reducing carbon emissions. Moreover, AI can support the development of innovative solutions for carbon capture and storage, helping to mitigate the impacts of climate change. As awareness of AI’s potential in climate action grows, 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 accelerate progress towards SDG 13, fostering a more resilient and sustainable future in the face of climate change.

Here is your window to the contribution of AI to reduce the impact of the climate change. 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 13.