Towards Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems

Journal article 464 views 159 downloads

Fan Yang, Mohammad Abedin

, Yanan Qiao, Lvyang Ye

IEEE Transactions on Engineering Management, Volume: 71, Pages: 14945 - 14962

Swansea University Author: Mohammad Abedin

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© 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

Published in:	IEEE Transactions on Engineering Management
ISSN:	0018-9391 1558-0040
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa67990

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
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