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Implementing Responsible Artificial Intelligence in Marketing

Author

Listed:
  • V. Kumar

    (Brock University, Ontario, Canada)

  • Ashutosh Dixit

    (Cleveland State University, Ohio, U.S.A.)

  • Priyanka Sharma

    (Indian Institute Of Management–Lucknow (IIM–Lucknow), Uttar Pradesh, India)

  • Sudipendra Nath Roy

    (St. Cloud State University, Minnesota, U.S.A.)

Abstract

Ethical use of AI ensures equity and fairness for all stakeholders, leading to enhanced business performance. This conceptual paper explores the ethical implications of Artificial Intelligence (AI) in marketing through a literature synthesis grounded in ethical theory. Drawing on frameworks such as utilitarianism, deontology, virtue ethics, ethics of care, and contractarianism, the study identifies five key ethical challenges—monopolization, privacy, corporate social responsibility, human rights, and accountability. Real-world cases illustrate how these challenges manifest in practice. The paper proposes theory-driven solutions including data democratization, contextual data use, adherence to human rights protocols, and the establishment of AI governance mechanisms like ombudspersons. By offering a conceptual framework and ethical propositions, the study contributes to the development of responsible AI practices in marketing and outlines directions for future research.

Suggested Citation

  • V. Kumar & Ashutosh Dixit & Priyanka Sharma & Sudipendra Nath Roy, 2025. "Implementing Responsible Artificial Intelligence in Marketing," American Business Review, Pompea College of Business, University of New Haven, vol. 28(2), pages 319-342, November.
    • Handle: RePEc:ris:ambsrv:021851
    DOI: 10.37625/abr.28.2.319-342
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    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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