Ethics in Data Analysis and Artificial Intelligence

Abstract

This article addresses the ethical challenges in data analysis and artificial intelligence (AI), emphasizing issues such as privacy, transparency, and algorithmic accountability. Through bibliographic and analytical research, the study examines the significance of ethical considerations in these technologies and their potential impact on society and organizations. It reviews the theoretical framework related to ethics in data analysis and AI, alongside regulations, standards, practical cases, and future challenges. The findings highlight the necessity for a continuous and responsible approach to data analysis and AI. The conclusion emphasizes the importance of ethical considerations to guide future research and practices in these ever-evolving fields.