Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions

<p dir="ltr">Interest in artificial intelligence (AI) is widespread across several industries, such as marketing, but worries about its ethical and legal consequences are increasing. This article examines concerns regarding data security and privacy in AI-powered marketing and discusses possible remedies. The study compiles information from academic articles using a comprehensive literature review. The key conclusions emphasise issues including data confidentiality, distribution, cyberattacks, fraud, and disinformation. Addressing these concerns involves providing privacy insurance, improving technology readiness, enforcing security regulations, and building regulatory frameworks. The report emphasises the need for transparency in the use of AI by marketing professionals, highlighting the need to keep clients aware of data practices. This research establishes the foundation for future investigation, encouraging continuous discussion and examination of this developing topic. <h2>Other Information</h2><p dir="ltr">Published in: Cogent Business & Management<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/23311975.2024.2393743" target="_blank">https://dx.doi.org/10.1080/23311975.2024.2393743</a>

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Publication Details

Journal
Cogent Business & Management
Published
2024-08-20
DOI
https://doi.org/10.1080/23311975.2024.2393743
Citations
75
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
58.44

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article

Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions

Hitmi Khalifa Alhitmi, Khalid Ibrahim Al‐Sulaiti, Alin Mardiah, Jaffar Abbas
75 citations
Cogent Business & Management
Blockchain Technology Applications and Security
58.44
article

Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions

Hitmi Khalifa Alhitmi, Khalid Ibrahim Al‐Sulaiti, Alin Mardiah, Jaffar Abbas
article en
75 citations

Abstract

<p dir="ltr">Interest in artificial intelligence (AI) is widespread across several industries, such as marketing, but worries about its ethical and legal consequences are increasing. This article examines concerns regarding data security and privacy in AI-powered marketing and discusses possible remedies. The study compiles information from academic articles using a comprehensive literature review. The key conclusions emphasise issues including data confidentiality, distribution, cyberattacks, fraud, and disinformation. Addressing these concerns involves providing privacy insurance, improving technology readiness, enforcing security regulations, and building regulatory frameworks. The report emphasises the need for transparency in the use of AI by marketing professionals, highlighting the need to keep clients aware of data practices. This research establishes the foundation for future investigation, encouraging continuous discussion and examination of this developing topic. <h2>Other Information</h2><p dir="ltr">Published in: Cogent Business & Management<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/23311975.2024.2393743" target="_blank">https://dx.doi.org/10.1080/23311975.2024.2393743</a>

Cogent Business & ManagementVol. 11(1)
Shanghai Jiao Tong University (CN), University of Derby (GB), State University of Jakarta (ID), Qatar University (QA)
Qatar National Library
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
58.44
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