emerging
Generative AI Trust & Transparency
Marketers are increasingly adopting Generative AI, but concerns around data provenance and consumer trust need to be addressed.
Timeframe
near-term
Subcategories
Impact areas
Detailed Analysis
While marketers are positive about Generative AI's potential, concerns around transparency and data provenance are growing. "Whether using GenAl to generate insights or for content asset creation, marketers need to know that the training data the models are based on are trustworthy, relevant, and reliable over time." Building consumer trust is crucial, as skepticism towards AI-generated ads is prevalent.
Context Signals
68% of marketers are positive towards Generative AI (Kantar Media Reactions 2024)
43% of consumers distrust AI-generated ads
36% of marketers feel they lack the skills to leverage AI
Edge
Development of industry standards and regulations for ethical AI in marketing.
Increased use of explainable AI (XAI) to build transparency and trust.
Emergence of AI-powered tools for detecting and mitigating biases in AI-generated content.
