A Review of Machine Learning for Sustainable Development Goals

The Sustainable Development Goals (SDGs) set forth by the UN provide a call for immediate action to end poverty, safeguard the environment, and guarantee that by 2030 everyone will live in peace and prosperity. Achieving these ambitious goals necessitates the harnessing of innovative technologies and methodologies, particularly within the realm of Machine Learning (ML). ML will play a critical role in propelling forward, the SDGs. By leveraging the capabilities of Artificial Intelligence (AI) to process vast datasets, identify patterns, and facilitate accurate predictions, these technologies offer unprecedented opportunities to address complex societal and environmental challenges across diverse sectors. A comprehensive literature review is conducted to explore the extensive applications of ML in achieving the SDGs, highlighting its potential to revolutionize traditional approaches and foster productivity. Issues about data privacy, algorithmic bias, and ethical considerations are critically analyzed to underscore the necessity for a balanced approach.