AI-Generated Advertising: Consumer Perceptions, Trust and Ethical Governance
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Tarih
2026
Yazarlar
Dergi Başlığı
Dergi ISSN
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Yayıncı
Alanya Alaaddin Keykubat Üniversitesi Yayınları
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
INTRODUCTION
The rapid proliferation of generative artificial intelligence (AI) has fundamentally transformed
the advertising landscape. From algorithmically written copy and synthetically generated
visuals to personalized product recommendations and virtual influencers, AI now plays a central
role in how brands create, target, and deliver persuasive messages to consumers. Industry
projections suggest that by 2026, a substantial portion of digital advertising content will involve
some form of AI generation (Jesus et al., 2026), driven by efficiency gains, creative
augmentation, and the promise of hyper‑personalization at scale. Yet this technological shift has
introduced profound questions that extend far beyond marketing effectiveness. How do
consumers evaluate advertisements they know – or suspect – were generated by a machine?
Does the use of AI in advertising enhance or erode trust in the brands and manufacturers behind
those ads? Can consumers calibrate their trust appropriately, neither over‑relying on nor
dismissing AI‑generated persuasive content? And what ethical governance mechanisms are
needed to ensure that AI‑driven marketing aligns with consumer expectations, legal
requirements, and societal values?
This book addresses these questions by bringing together five empirical studies that examine
consumer responses to AI‑generated advertising from multiple psychological, relational, and
governance perspectives. Rather than treating AI‑generated ads as a simple variation of
traditional advertising, the volume conceptualizes algorithmic authorship as a trigger for
multilevel evaluative processes – affecting brand attitudes, manufacturer perceptions, corporate
reputation, affective trust, trust calibration, and ethical judgments. The chapters collectively
advance a human‑centered understanding of AI in marketing, emphasizing that consumers do
not respond to AI content in isolation; rather, they evaluate the technological source, the
organizational entities responsible for it, the transparency of its use, and the ethical framework
within which it operates.
