Ki in research: Solutions for the most pressing SDGs are missing!

Ki in research: Solutions for the most pressing SDGs are missing!

In recent years, the debate about the use of artificial intelligence (AI) has increased significantly to support the goals for sustainable development (SDGS). A study published in the renowned journal Nature Communications shows both the potential and the challenges of the use of AI in this context. According to the findings of Nature there is a lack of extensive data and empirical studies that examine the integration of AI methods with the relevant SDG research.

Since then, the number of published articles about AI and sustainability has increased steadily. In 2024 alone, around 600,000 articles on sustainability and 400,000 were published in the first ten months. This shows the high interest in the topic, but in -depth research approaches are rare. It is particularly noteworthy that most studies concentrate either on technical aspects of AI or on special SDGs without analyzing the multi -layered relationships.

The role of KI in the SDGS

The AI for Good Impact Report emphasizes how AI can accelerate progress to the SDGs. Nevertheless, there are immense challenges, especially with SDG 1 - "no poverty". The report found that by 2024 none of the seven goals of this SDGS is on track. The UN warns that an estimated 575 million people could live in extreme poverty by 2030 should continue the current trend. It is well known that the Covid 19 pandemic has a step backwards in the global efforts to combat extreme poverty.

positive and negative effects of KI

The study by Cooperation International could support. Especially in the ecological area, AI has enormous potential, such as improving understanding of biodiversity or optimizing energy consumption. But the other side of the medal must not be forgotten: 59 of the individual goals could be negatively influenced. This includes the possibility of increased inequality as well as distorted election results and nationalism when AI developments are carried out without ethical control.

The use of AI is limited, especially in the area of social sustainability. Both the complexity of social data and moral concerns prevent broadly. The lack of large, labeled data records complicates the research and use of AI in the social aspects. So while new progress is made in areas such as health and the environment, SDG 1 - the fight against poverty - is often by the wayside

A look into the future

Future developments in the AI could significantly influence the research priorities and promote greater integration into social sciences. There are currently significant gaps in research, especially with regard to SDG 1 (no poverty) and SDG 5 (gender equality). The need for an integrated research agenda is becoming increasingly clear in order to strengthen the role of AI as a transformative force for sustainable development.

After all, it is important that decision -makers, NGOs and industry leaders work together to see the use of AI not only as a technical tool, but also as a potential catalyst for social changes. AI has the potential to improve living conditions when we deal with this technology.