Generative AI Advertising as a Problem of Trustworthy Commercial Intervention
Major deployed generative AI advertising systems preserve a visible boundary between commercial content and AI-generated responses. Yet empirical research shows that ads woven directly into large language model (LLM) outputs often go undetected by users. We argue that generative AI fundamentally changes advertising: rather than placing products into discrete slots, it enables interventions on the generative process itself, which induce commercial influence through less observable channels. This reframes generative AI advertising as a problem of trustworthy intervention rather than content placement. We introduce a taxonomy organized by influence tier, corresponding to interventions on pro...
| Authors | Jingyi Qiu, Qiaozhu Mei |
|---|---|
| Primary category | cs.CY |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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