As the advertising industry grapples with the implications of artificial intelligence, a growing concern has emerged: consumer trust. With people increasingly skeptical of digital content, the question of how to label AI-generated elements in advertising remains unresolved. According to research from NYU Stern and Emory University, disclosure of such content can diminish ad effectiveness by as much as 31.5%. This raises critical questions about the trade-offs between transparency and consumer engagement.
“How do marketers react to that, knowing that there is a lot of angst in the marketplace right now around AI and its impact on society and the economy?” said Nada Bradbury, CEO of AD-ID. As the industry seeks clarity, various trade bodies are drafting guidance, brands are defining their own standards, and regulators are preparing to impose deadlines. The urgency is underscored by upcoming compliance deadlines set by the European Union and New York state, which mandates disclosure of AI-generated humans in marketing.
Gabrielle Robitaille, director of policy and AI community lead at The World Federation of Advertisers (WFA), noted an uptick in inquiries from brands seeking guidance on these issues. “Over the past couple of months alone, I must have had a good five, six, or seven brands reach out asking, ‘do we have guidance?’” Robitaille said. Legal teams are now demanding answers, a shift reminiscent of the frantic compliance discussions that surrounded the General Data Protection Regulation.
The WFA is advocating for self-regulation, emphasizing that fundamental advertising principles should prevail regardless of the technology used. Robitaille asserts that marketers should avoid misleading consumers and refrain from making unsubstantiated claims. She believes that while AI introduces complexities, the grey areas that require labeling are relatively few. The WFA posits that labeling should be obligatory when AI plays a central role in shaping consumer perceptions about a product.
This conceptual framework is echoed by the Interactive Advertising Bureau (IAB), which recently published its first unified standard for AI disclosure in advertising. The guidelines call for focusing on content that could genuinely mislead consumers while treating traditional production techniques, such as background alterations and audio enhancements, as exempt from labeling requirements. However, digital twins of living individuals and AI-generated images of deceased persons must be labeled, alongside the requirement that C2PA metadata accompany every ad to allow platforms like Meta and TikTok to monitor AI usage closely.
“Advertisers’ response to the framework has been thoughtful and pragmatic,” said Caroline Giegerich, vice president of AI at the IAB. Rather than hiding their use of AI, brands are looking for clarity on when to disclose. The pressing question has shifted from whether to disclose AI usage to discerning when such disclosure serves consumer interests versus when it might create confusion.
In light of the potential backlash associated with AI, some brands are opting for a “No AI” disclaimer, akin to a certified organic label in advertising. Aerie, the intimates brand owned by American Eagle, has featured Pamela Anderson in a campaign reinforcing its commitment not to use AI-generated bodies or faces, extending a previous promise made in 2014 not to retouch models in its advertising. For Aerie, this stance is not merely a compliance measure but aligns with its brand ethos. Similarly, Baby products brand Coterie has publicly committed to excluding AI-generated images in its social media marketing, a move aimed at establishing trust with a skeptical audience of parents.
Le Creuset has also made efforts to clarify that its recent visually inventive content, created with digital artist Ian Padgham, involves no AI. These clarifications are communicated through unpromoted comments on social posts, preemptively addressing any assumptions about AI involvement. This shift represents a significant change for an industry that previously championed AI as a transformative force in advertising.
Looking ahead, Giegerich believes that consistent transparency will eventually normalize AI’s role in advertising, much like other technologies before it. “The industry’s goal shouldn’t be to over-label or under-label — it should be to disclose in a way that informs without overwhelming and builds confidence rather than doubt,” she stated. As the industry moves forward, balancing transparency with consumer trust will be paramount in navigating the evolving landscape of AI in advertising.
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