BLOCKCHAIN AUGMENT AI: SECURING DECISION PIPELINES DECENTRALIZED IN SYSTEMS

Authors

Kartheek Kalluri

Abstract

In this study, we investigate a blockchain technology and artificial intelligence (AI) based integration of decision pipelines in a decentralized system, which has the potential to provide security, transparency and accountability for such systems. With trust and vulnerability concerns looming, blockchain’s immutability and decentralization are solutions to the problems of trust concerned in the automation of decisions by AI-driven decision making systems that are becoming prevalent across industries. The study uses a mixed methods approach (literature review, case studies, experimental simulations and expert consultations to examine how blockchain can support the AI decision pipeline and in particular for sectors like health care, finance and supply chain management. The experimental findings show that blockchain helps with data traceability, improved decision making accuracy and security, but struggle with scalability and system interoperability. Practical approaches for mitigating integration hurdles, such as modular design and adaptive crypto graphic protocols are also suggested in the paper. The results present a compact framework for developing secure and reliable decision making processes enabled by blockchain augmented artificial intelligence in a decentralized environment and can be beneficial for future research and practical applications. As such, this work establishes some of the foundations for the ongoing evolution of decentralized systems to empower trust and resiliency in AI driven decisions.

Keywords

Blockchain technology,artificial intelligence (AI),decentralized systems,decision pipelines,AI integration, blockchain-augmented AI,crypto graphic protocols.

BLOCKCHAIN AUGMENT AI: SECURING DECISION PIPELINES DECENTRALIZED IN SYSTEMS. Kartheek Kalluri. 2022. IJIRCT, Volume 8, Issue 2. Pages 1-8. https://www.ijirct.org/viewPaper.php?paperId=2501055