We Need To Make Machine Learning Sustainable. Here’s How

Machine learning is progressing rapidly and its intersection with sustainability is becoming increasingly important. To understand how machine learning can contribute to creating a better, greener, and more equitable world, it is necessary to assess its impact on the three pillars of sustainability: the social, the economic, and the environmental. Machine learning models have the potential to have a positive impact on society, such as helping healthcare organizations provide more accurate diagnoses and treatments, and helping to reduce poverty and inequality.