Cultural Blind Spots in Marketing AI: Case Studies of Failure

Title

Cultural Blind Spots in Marketing AI: Case Studies of Failure

Creator

Jain, Aakriti; Anand, Ila

Description

Artificial intelligence has been quickly shifting into the pioneer of contemporary marketing. AI powered systems influence how brands communicate with culturally diverse audiences through automated content creation and hyper personalized targeting. These systems, while highly efficient, are proving to have major cultural blind points in which algorithmic decision making fails to detect or interpret cultural, social, and representational subtleties. Such lapses appear as biased outputs, homogenization of identity, and reinforcement of stereotypes, growing into public controversies and reputational crises. This chapter explores cultural blindness in marketing- focused AI systems through four case studies: Amazons recruitment tool, H&Ms culturally insensitive campaign, Doves beauty representation controversy, and Levis AI generated diversity models. 2026 by IGI Global Scientific Publishing. All rights reserved.

Source

AI-Driven Decision-Making for Diversity, Equity, and Inclusion in Marketing;pp.159-187

Date

01-01-2026

Publisher

IGI Global

Subject

Algorithmic Bias; Cultural Blind Spots; Human- in- the- Loop; Representational Harm; Sociotechnical Systems; Synthetic Representation

Coverage

Jain A., Christ University, India; Anand I., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833736733-0; 979-833736731-6;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-6731-6.ch006

https://www.scopus.com/pages/publications/105033221489?origin=resultslist