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Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications

  • Suraksha Gupta*
  • , Yi Chuan Wang
  • , Parth Patel
  • , Michael Czinkota
  • *Corresponding author for this work

Research output: Contribution to journal › Editorial

30 Scopus citations

Abstract

The superior computing power of modern technologies, combined with their ability to provide insights through analytics on rich data sets, is helping companies enhance performance across all areas. Consequently, companies are increasingly deploying Artificial Intelligence (AI) to synchronise, reshape, and restructure their resources to achieve business objectives and enhance customer engagement in marketing efforts. AI facilitates marketing strategies by delivering personalised experiences to both local and international customers. However, the rapid pace of innovation in AI and the absence of comprehensive regulatory frameworks pose concerns. These gaps make it challenging for companies to ensure that their AI applications are compliant and safeguard stakeholder interests. Therefore, transitioning into the AI domain carries risks for companies aiming to maintain an ethical and responsible image. To mitigate these risks, integrating responsible AI usage into corporate policies can serve as a critical first step for companies.

Original languageEnglish
Article number102871
JournalInternational Journal of Information Management
Volume82
DOIs
StatePublished - Jun 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Compliance
  • Ethical AI
  • Regulatory framework and sustainable transition
  • Responsible AI

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Marketing
  • Library and Information Sciences
  • Artificial Intelligence

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