Published Paper Details:

Artificial Intelligence (AI) is reshaping modern societies through its growing use in education, healthcare, governance, security, and daily life. Along with its rapid expansion, ethical concerns around fairness, transparency, accountability, and privacy have gained global attention. This paper provides a comprehensive analysis of the foundations of AI ethics, the theoretical principles guiding responsible AI development, and the need for robust regulatory frameworks. Drawing on global trends and international guidelines, the study explores challenges such as algorithmic bias, data misuse, surveillance, and social inequality. It also highlights strategies for promoting ethical and trustworthy AI systems through transparency mechanisms, diverse datasets, stakeholder participation, and continuous monitoring. The paper aims to support researchers, policymakers, and educators in understanding the significance of ethical principles in the digital era and the importance of aligning technological progress with human rights, social justice, and long-term public welfare.