Достижения в области робототехники и автоматизации

Ethics and Privacy in User Data Mining: Balancing Analysis and Integrity

Abstract

Rafael Bayat*

User data mining has become an integral part of modern business strategies, enabling companies to gain insights into consumer behavior, preferences and trends. However, the widespread collection and analysis of user data raise significant ethical concerns regarding privacy invasion, data security and the potential misuse of personal information. This paper examines the ethical considerations involved in user data mining, focusing on the delicate balance between the benefits of data analysis and the protection of individual privacy rights. It explores various ethical frameworks, regulations and guidelines aimed at mitigating the risks associated with data mining practices. Additionally, the paper discusses the role of transparency, consent, anonymization techniques and data protection measures in fostering ethical data mining practices. Ultimately, it emphasizes the importance of adopting responsible and transparent approaches to user data mining to uphold ethical standards and safeguard user privacy in the digital age.