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Privacy-Preserving Architectures for AI/ML Applications: Methods, Balances, and Illustrations

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  • Harish Padmanaban

Abstract

With the widespread integration of artificial intelligence (AI) and blockchain technologies, safeguarding privacy has become of paramount importance. These techniques not only ensure the confidentiality of individuals' data but also maintain the integrity and reliability of information. This study offers an introductory overview of AI and blockchain, highlighting their fusion and the subsequent emergence of privacy protection methodologies. It explores various application contexts, such as data encryption, de-identification, multi-tier distributed ledgers, and k-anonymity techniques. Moreover, the paper critically evaluates five essential dimensions of privacy protection systems within AI-blockchain integration: authorization management, access control, data security, network integrity, and scalability. Additionally, it conducts a comprehensive analysis of existing shortcomings, identifying their root causes and suggesting corresponding remedies. The study categorizes and synthesizes privacy protection methodologies based on AI-blockchain application contexts and technical frameworks. In conclusion, it outlines prospective avenues for the evolution of privacy protection technologies resulting from the integration of AI and blockchain, emphasizing the need to enhance efficiency and security for a more comprehensive safeguarding of privacy.

Suggested Citation

  • Harish Padmanaban, 2024. "Privacy-Preserving Architectures for AI/ML Applications: Methods, Balances, and Illustrations," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 235-245.
    • Handle: RePEc:das:njaigs:v:3:y:2024:i:1:p:235-245:id:117
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    References listed on IDEAS

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    8. Jeff Shuford, 2024. "Interdisciplinary Perspectives: Fusing Artificial Intelligence with Environmental Science for Sustainable Solutions," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1), pages 106-123.
    9. Md.mafiqul Islam, 2024. "Artificial Intelligence Exploring Its Applications across Industries," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 20-24.
    10. Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 106-115.
    11. Harish Padmanaban, 2024. "Revolutionizing Regulatory Reporting through AI/ML: Approaches for Enhanced Compliance and Efficiency," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 71-90.
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