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Cited by 4Ethics and Social Impacts of AIDigitalization, Law, and RegulationAI in Service Interactions

ADVANCING AI IN MARKETING THROUGH CROSS BORDER INTEGRATION ETHICAL CONSIDERATIONS AND POLICY IMPLICATIONS

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SEO Executive, Gadget & Gear (Apple Authorized Reseller Company), Dhaka, Bangladesh, Hasan, Reduanul, Abdullah, Mohammad Shoeb, Lead - Seller Incubation, Daraz (Alibaba Group), Dhaka, Bangladesh·2022·American Journal of Scholarly Research and Innovation
DOI 10.63125/d1xg3784
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Abstract

This study critically examines the advancement of artificial intelligence (AI) in marketing through the lens of cross-border integration, focusing on ethical considerations and policy implications. With AI-driven tools increasingly shaping global marketing strategies—ranging from personalization engines and predictive analytics to chatbots and real-time bidding systems—the ethical, cultural, and regulatory dimensions of these technologies have become more significant than ever. Drawing upon the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, this review systematically analyzed a total of 126 peer-reviewed scholarly articles and 23 international policy reports published between 2015 and 2022. The findings reveal that while AI technologies greatly enhance operational scalability and customer engagement across borders, they often fall short in addressing cultural sensitivity, linguistic accuracy, and fairness in algorithmic decision-making. Notably, issues such as algorithmic bias, emotional profiling, consent asymmetry, and data sovereignty emerged as critical concerns, especially in regions with fragmented regulatory landscapes. The study further identifies significant inconsistencies among global regulatory frameworks, including the European Union’s GDPR and AI Act, China’s PIPL, and the United States’ CCPA/CPRA, which complicate compliance and increase operational costs for multinational firms. In response, emerging governance models—such as algorithmic impact assessments, explainable AI tools, and multistakeholder frameworks—are gaining momentum but remain uneven in their global adoption. This review concludes that ethical and policy-aligned AI marketing requires not only technical sophistication but also cross-sectoral collaboration and culturally adaptive governance. As AI continues to redefine global consumer interaction, this study offers timely insights into how marketers, regulators, and technologists can collaboratively build transparent, accountable, and inclusive AI systems for cross-border marketing success.

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  • Without automated detection of tampering, provenance frameworks risk becoming symbolic rather than evidentiary, undermining accountability and attribution claims.

    “Without automated detection of tampering, provenance frameworks risk becoming symbolic rather than evidentiary, undermining accountability and attribution claims [30].”

    From Designing automated audit mechanisms to evaluate compliance of generative AI platforms with federal authorship and ownership disclosure requirements. (2023) · cites this paper as [30]

    The Discussion describes a gap between theoretical governance frameworks and their practical adoption, and the Algorithmic Transparency section discusses auditability and accountability. Neither section addresses provenance frameworks or whether automated tamper detection is necessary for evidentiary attribution (searched: provenance, tampering, tamper detection). (LLM, conf=0.77)

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Cited by

Sorted by citations

Authors
SEO Executive, G. &. G. (. A. R. C., Hasan, R., Abdullah, M. S., & Lead - Seller Incubation, D. (. G.
Affiliations
Apple (United States) (US)
Venue
American Journal of Scholarly Research and Innovation
Publisher
American Scholarly Publishing Group Inc
Published
2022-03-01
Volume
01
Issue
01
Pages
351-379
ISSN
3067-2163 (ISSN-L)
DOI
10.63125/d1xg3784
OpenAlex
W4412954044
Cited by
4
References
0
Citations by year
2026: 3 · 2025: 1
FWCI
0.29
Type
journal article
Language
en
Open access
Locations
American Journal of Scholarly Research and Innovation (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
artificial intelligence in marketing, cross-border marketing, AI ethics, AI regulation, algorithmic bias, data sovereignty, cultural sensitivity, predictive analytics, chatbots, real-time bidding, GDPR, EU AI Act, California Consumer Privacy Act, algorithmic impact assessment, explainable AI, multi-stakeholder governance, regulatory compliance, multinational corporations

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