This monograph explores the intersection of Artificial Intelligence (AI) ethics, social psychology, and digital behavior through the lens of the fairness global anonymity paradox. It examines how modern AI systems influence human decision-making, privacy, and perceptions of justice in digital environments. The book analyzes the ethical tensions between fairness, which requires access to sensitive data for bias detection, and anonymity, which protects individual identity and privacy. By integrating philosophical ethics, algorithmic governance, and socio-psychological theory, the study presents a multidisciplinary framework for understanding contemporary digital challenges. Covering topics such as algorithmic bias, data privacy, surveillance, trust in AI systems, and global data governance, the monograph provides a comprehensive analysis of how artificial intelligence reshapes human behavior and social structures. This work is intended for researchers, academics, policymakers, and students in the fields of AI ethics, philosophy, sociology, psychology, and digital governance.