AI is aiding in ocean monitoring, biodiversity preservation, and sustainable fisheries management through data analysis and predictive modeling In this chart we observe the sea water levels measured in the changes of the sea mean level (in mm) over time.

This perspective offers a real-time view of the worldwide news on life underwater-related topics, providing us with a media perspective on the progress at the different fronts of SDG 14.

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 contributed to the progress of Sustainable Development Goal 14 (SDG 14), which aims to conserve and sustainably use the oceans, seas, and marine resources. Between 2015 and 2023, there have been 1,597,296 scientific publications focused on the impact of AI on marine conservation and resource management. These studies underscore AI’s potential in monitoring marine ecosystems, predicting changes in ocean conditions, and optimizing fisheries management. AI technologies, such as machine learning and satellite imaging, can analyze large datasets to detect illegal fishing activities, track marine biodiversity, and assess the health of coral reefs. Despite the relatively lower media exposure, with 4,717 news articles, public awareness of AI’s role in marine conservation is gradually increasing. Additionally, the development of 296 AI policies targeting SDG 14 reflects a growing commitment from policymakers to integrate AI into marine conservation strategies, ensuring the sustainable use of ocean resources and the protection of marine habitats.

Looking ahead, the next 5 to 10 years are poised to see significant advancements in the application of AI for marine conservation and sustainable use of ocean resources. AI-driven technologies will become more sophisticated, enabling more accurate and real-time monitoring of marine environments. This will facilitate better management of marine protected areas, helping to preserve biodiversity and mitigate the impacts of climate change on oceans. AI will also play a crucial role in advancing sustainable fisheries by improving stock assessments and promoting efficient fishing practices, thereby reducing overfishing and supporting the livelihoods of coastal communities. As the understanding of AI’s potential in marine conservation 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 14, fostering healthier and more resilient marine ecosystems for future generations.

Here is your window to how AI is impacting below water life worldwide. 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 14.