Ethical Challenges and Bias in AI-Driven Marketing

Abstract

As artificial intelligence (AI) becomes increasingly embedded in the architecture of contemporary marketing, it raises profound ethical concerns that transcend technical malfunction and touch upon foundational questions of justice, autonomy, and democratic integrity. This chapter interrogates the ethical challenges posed by AI-driven marketing systems—particularly those related to algorithmic bias, surveillance-based personalization, and manipulative consumer targeting—and argues that these concerns cannot be adequately addressed through technical refinement or regulatory compliance alone. Rather, they necessitate a paradigmatic shift in management education and public policy that foregrounds ethical literacy as a core professional competency. Drawing upon interdisciplinary theories and emblematic case studies, the chapter proposes a pedagogical model that integrates critical inquiry, reflexive learning, and regulatory awareness into the marketing curriculum.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 11 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.