Only one-third of consumers currently trust generative AI, despite its rapid integration into brand communications. Low public confidence creates a significant hurdle for brands using AI-driven content.
Brands increasingly leverage generative AI for content creation and optimization. Yet, most consumers deeply distrust AI-generated content. The disconnect shows brand strategy diverging sharply from consumer perception.
Brands that fail to establish and communicate robust ethical AI principles for content risk significant erosion of consumer trust and reputational harm.
The Hidden Risks of Unchecked AI
Generative AI can produce advertising copy harmful to consumers, reports ScienceDirect. It also amplifies existing biases, particularly in image creation, states Brandcenter. Unchecked capabilities damage brand reputation, perpetuate stereotypes, and erode consumer well-being. The industry's rapid AI adoption currently outpaces its ethical safeguards, exposing both consumers to harm and brands to reputational damage.
Human-Led AI: The Foundation of Trust
AI resources must be human-led for positive, transparent experiences, according to the IABC. The human-led approach aims to instill respect and trust. Prioritizing human involvement in AI is a strategic imperative, not just an ethical one, for fostering genuine audience connection. Brands that prioritize speed over human-led AI fundamentally misunderstand the technology. They treat AI as a content generator, not a human-augmented tool, alienating consumers who demand transparency.
Transparency in Practice: Crediting AI Content
Brandcenter mandates specific AI crediting. For copy, content enhanced by generative AI must state: 'Portions of this story were created or edited using generative AI.' For imagery, it must state: 'This image was created or edited by image-to-image or text-to-image generative AI.' Clear disclosure manages consumer expectations and demonstrates accountability. Detailed requirements show that the issue is not AI use itself, but the lack of transparency, revealing a gap between brand practice and consumer demand for honesty.
