Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32566
Title: An ethical assessment framework for AI security and ethics in smart grid
Authors: Zhang, Y
Zhao, C
Meng, Z
Lai, CS
Chen, X
Keywords: smart grid;artificial intelligence technology;ethics of science and technology;assessment framework
Issue Date: 21-Nov-2025
Publisher: Elsevier on behalf of KeAi Communications
Citation: Zhang, Y. et al. (2025) 'An ethical assessment framework for AI security and ethics in smart grid', Global Energy Interconnection, 0 (in press, corrected proof), pp. 1 - 17. doi: 10.1016/j.gloei.2025.10.006.
Abstract: The advancement of smart grid, facilitated by the extensive integration of information communication, automated control, and artificial intelligence (AI) technologies, signifies a significant transformation of the power system towards holistic perception, intelligent management, and secure operation. This article focuses on the security and ethical compliance of smart grid, intending to offer guiding insights for this new technological domain. This study initially delineates the potential applications, technical attributes, and design of smart grid, followed by a thorough examination of the security threats and ethical dilemmas arising from technological advancements. This study examines the pivotal role of AI in smart grid and its intricate interplay with security and ethical concerns. It performs a comprehensive analysis of the possible technical deficiencies and ethical challenges of AI systems in smart grid and assesses the extensive repercussions that these difficulties may entail. This study presents a security ethics evaluation methodology for smart grid, which thoroughly examines the ethical implications of AI technology in power grid applications and identifies existing obstacles and threats. This paper conducts a thorough policy analysis to evaluate the present security and ethical conditions of smart grid, with the objective of offering substantive theoretical support to enhance their security and ethical advancement, thereby fostering their healthy and sustainable development.
URI: http://bura.brunel.ac.uk/handle/2438/32566
DOI: https://doi.org/10.1016/j.gloei.2025.10.006
ISSN: 2096-5117
Other Identifiers: ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438
ORCiD: Xi Chen https://orcid.org/0000-0002-3135-4114
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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