AI is enhancing agricultural productivity, enabling precision farming, and optimizing food distribution through data-driven insights. In this chart we see the prevalence of moderate or severe food insecurity in the population (%) taking into account the news on AI affecting SDG 2..

This perspective offers a real-time view of the worldwide news on hunger-related topics, providing us with a media perspective on the progress at the different fronts of SDG 2.

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 impacted the progress of Sustainable Development Goal 2 (SDG 2), which aims to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture. Between 2015 and 2023, scientific publications on the impact of AI in SDG 2 numbered 265,272, indicating robust research activity and innovation. These studies span various applications, including precision agriculture, crop monitoring, pest control, and yield prediction. The vast body of research highlights AI’s potential to optimize resource use, enhance productivity, and reduce food waste. Media exposure, with 10,532 news articles, underscores growing public awareness and interest in the role of AI in transforming agricultural practices. Policymakers have also recognized AI’s importance, as evidenced by the development of 2,681 AI policies aimed at advancing SDG 2. These policies facilitate the integration of AI technologies in agricultural sectors, promoting sustainable and efficient practices.

Looking ahead, the continued growth in scientific research, media coverage, and policy development suggests a promising trajectory for AI’s contribution to SDG 2 over the next 5 to 10 years. We can anticipate accelerated innovation in AI-driven agricultural technologies, leading to more widespread adoption of precision farming, automated irrigation systems, and predictive analytics. As AI becomes more integrated into agricultural practices, smallholder farmers will benefit from improved crop management and increased resilience to climate change. Additionally, the ongoing development of supportive policies will likely enhance collaboration between governments, research institutions, and the private sector, fostering an environment conducive to sustainable agricultural advancements. Overall, AI’s role in achieving SDG 2 will continue to expand, driving progress towards a more food-secure and sustainable future.

Here is your window to global efforts towards food security. 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 2.