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Journal article
AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business
AI and Ethics, Vol.4, pp.791-804
2024
Appears in UniSC Supported Open Access Outputs
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Abstract
This paper examines the ethical obligations companies have when implementing generative Artificial Intelligence (AI). We point to the potential cyber security risks companies are exposed to when rushing to adopt generative AI solutions or buying into “AI hype”. While the benefits of implementing generative AI solutions for business have been widely touted, the inherent risks associated have been less well publicised. There are growing concerns that the race to integrate generative AI is not being accompanied by adequate safety measures. The rush to buy into the hype of generative AI and not fall behind the competition is potentially exposing companies to broad and possibly catastrophic cyber-attacks or breaches. In this paper, we outline significant cyber security threats generative AI models pose, including potential ‘backdoors’ in AI models that could compromise user data or the risk of ‘poisoned’ AI models producing false results. In light of these the cyber security concerns, we discuss the moral obligations of implementing generative AI into business by considering the ethical principles of beneficence, non-maleficence, autonomy, justice, and explicability. We identify two examples of ethical concern, overreliance and over-trust in generative AI, both of which can negatively influence business decisions, leaving companies vulnerable to cyber security threats. This paper concludes by recommending a set of checklists for ethical implementation of generative AI in business environment to minimise cyber security risk based on the discussed moral responsibilities and ethical concern.
Details
- Title
- AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business
- Authors
- Declan Humphreys (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringAbigail Koay (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringDennis Desmond (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringErica Mealy (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Publication details
- AI and Ethics, Vol.4, pp.791-804
- Publisher
- Springer Cham
- Date published
- 2024
- DOI
- 10.1007/s43681-024-00443-4
- ISSN
- 2730-5961; 2730-5953
- Copyright note
- © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Organisation Unit
- Healthy Ageing Research Cluster; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991008896102621
- Output Type
- Journal article
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