Blockchain-Enhanced AI Security and Trust Through Auditable Decision-Making and Data Integrity in Modern Industry
AI and blockchain can make companies safer and more trustworthy. AI can handle massive quantities of data and make complicated judgments, but its lack of clarity and reliance on centralized data present safety, accountability, and openness concerns. Blockchain ensures data is accurate, clear, and simple to track with its decentralized and unchangeable record. Blockchain can improve AI systems by making decision-making more open and safer for AI data. Blockchain protects AI model data from unauthorized changes. This prevents illicit alterations and improves AI accuracy. Blockchain's autonomy lets parties independently verify AI decision-making, which fosters confidence. This study examines blockchain's primary AI protections. These include open data storage, validated AI models, and trustworthy smart contracts that make decisions automatically. Real-world examples from healthcare, finance, and supply chain management show how blockchain-enhanced AI could address data breaches, algorithmic bias, and machine accountability. These findings demonstrate that adding blockchain to AI systems increases their trustworthiness and makes AI use in modern organizations safer and more open.
Authors
- Faheem Ahmad Reegu (ORCID: https://orcid.org/0000-0002-9167-3061)
- Dhaval Parmar (ORCID: https://orcid.org/0000-0003-4031-7144)
- Haewon Byeon (ORCID: https://orcid.org/0000-0002-3363-390X)
- Renato R. Maaliw (ORCID: https://orcid.org/0000-0002-7310-2708)
- Sudharshan Putha
- Bhavani Prasad Kasaraneni
Institutions
- Inje University (KR)
- Southern Luzon State University (PH)
- Salesforce (United States) (US)
- Jazan University (SA)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/ihcsp63227.2024.10960006
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00