Ethical Considerations in AI Development for Cloud Computing and Data-Driven Software Solutions

Abstract

As Artificial Intelligence (AI) becomes increasingly integrated into cloud computing and data-driven software solutions, the ethical implications of its development and deployment gain paramount importance. This chapter delves into the complex ethical landscape surrounding AI technologies within these domains. It explores key ethical considerations such as privacy, bias, transparency, accountability, and the potential for misuse of AI-driven systems. The chapter also examines the challenges of ensuring data security and the ethical use of large datasets, emphasizing the need for robust frameworks that balance innovation with responsible AI practices. By analyzing case studies and current regulations, this chapter provides actionable insights and guidelines for developers, researchers, and policymakers to foster ethical AI development in cloud computing and data-driven environments. The aim is to contribute to a sustainable and equitable technological future where AI serves humanity responsibly and justly.