TRUSTWORTHY AI FOR IOT USING BLOCKCHAIN

Abstract

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has created new opportunities for automation, data-driven optimization, and intelligent decision-making. Despite these advances, critical challenges such as security, privacy, and transparency remain unresolved due to the distributed and heterogeneous nature of IoT environments [1]. Blockchain technology, with its decentralized and immutable characteristics, has emerged as a promising enabler of trust in AI-driven IoT systems [3], [4]. By integrating blockchain with AI, it becomes possible to ensure accountability, resilience, and verifiability of IoT data and AI models. This paper explores the role of blockchain in building trustworthy AI for IoT by reviewing current approaches, identifying key trust dimensions, and proposing a reference architecture that supports decentralized learning, privacy preservation, and auditable decision-making. Potential applications across healthcare, smart cities, and autonomous systems are also highlighted, emphasizing the transformative potential of blockchain-enabled AI for IoT ecosystems.