Abstract: Artificial intelligence (AI) is increasingly deployed in high-stakes contexts, yet their trustworthiness remains uncertain when ethical principles, technical mechanisms, and governance structures operate in isolation. This paper reviews the current landscape of trustworthy AI, including work on ensuring fairness, eliminating bias, explainability, privacy protections, trust in models, governance, and legal accountability. It further ...