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Towards Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems
IEEE Transactions on Engineering Management, Volume: 71, Pages: 14945 - 14962
Swansea University Author: Mohammad Abedin
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PDF | Accepted Manuscript
© 2024 The Author(s). Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1109/tem.2024.3472292
Abstract
Towards Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems
Published in: | IEEE Transactions on Engineering Management |
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ISSN: | 0018-9391 1558-0040 |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67990 |
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Keywords: |
Security, generative AI, artificial intelligence, regulation, data privacy, blockchains, engineering management, data security, data models, reliability, AIGC regulation, blockchain governance, data traceability, consensus mechanism |
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College: |
Faculty of Humanities and Social Sciences |
Funders: |
Natural Science Basic Research Program of Shaanxi [Program No. 2023-JC-YB-490], Research Fund of Guangxi Key Lab of Multisource Information Mining & Security [Program No.MIMS24-06], "the Fundamental Research Funds for the Central Universities, JLU" [Program No.93K172024K12]. |
Start Page: |
14945 |
End Page: |
14962 |