The Ethical Considerations of Using a Machine Learning Algorithm in Cloud Computing

The use of machine learning algorithms (ML) is automating a wide range of daily decisions. Using machine learning to improve cloud computing resource allocation with prediction models can transform industries, improve products, and improve everyday lives for consumers. Although machine learning can achieve powerful results, ethical issues persist. This article presents a bibliometric analysis of the prevalence of ethical issues in machine learning. South Africa has 26% of data protection and ethics strategies, while Egypt has 21%. In comparison to developing countries, the United States has 42%, followed by China with 15%. African countries are understudied in the field of machine learning and ethics; however, developing countries are leading the normative debate on machine learning, shaping its outlines, they gradually impose their perspective on the continent without taking into account the diversity of ethical perspectives.