The rapid advancement of Artificial Intelligence (AI) has amplified concerns around trust, transparency, and accountability in automated decision-making systems. This paper explores the foundational concept of AI with Trust, examining how ethical governance, data integrity, and algorithmic transparency can be strengthened through technological and policy interventions. Drawing from emerging frameworks such as the OECD AI Principles and scholarly insights on trustworthy AI, the study highlights blockchain as a key enabler of verifiable and tamper-proof AI processes. By linking blockchain’s decentralized auditability with AI’s need for explainability and fairness, the paper argues for an integrated approach that enhances public confidence in AI systems. The discussion positions transparency and accountability as cornerstones of responsible AI adoption and offers a roadmap for aligning innovation with ethical and societal values.