ETHICAL CONSIDERATIONS IN AI AND ML DEVELOPMENT

Abstract

In recent years, the rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) technologies has led to transformative changes across various industries. However, alongside the benefits, concerns regarding the ethical implications of AI and ML development have emerged. This review paper explores the multifaceted landscape of ethical considerations inherent in the design, deployment, and utilization of AI and ML systems. It delves into key ethical principles such as transparency, fairness, accountability, and privacy, examining their significance in ensuring responsible AI and ML development. Furthermore, the paper evaluates existing frameworks, guidelines, and regulatory measures aimed at addressing ethical challenges in AI and ML. Through comprehensive analysis and synthesis of scholarly literature, this paper offers insights into the complex interplay between technological innovation and ethical concerns, shedding light on the imperative for ethical considerations to be integrated into every stage of AI and ML development.