data ethics

When Style Becomes Signal: How Gendered Language Shapes Generative AI Output

When Style Becomes Signal: How Gendered Language Shapes Generative AI Output

  • ARF

As generative AI tools become embedded in advertising and marketing research workflows, questions about bias increasingly extend beyond outputs to the interaction itself. This study examines whether gendered patterns can enter AI through subtle differences in how prompts are phrased. By systematically varying linguistic styles using psychologically grounded traits, the research shows that implicit, style-based, gender cues shape AI prompt construction more strongly than explicit, gender labels, with important implications for how bias may propagate upstream in AI-assisted marketing and research applications.

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Privacy, Trust & AI: How U.S. Consumers Are Rewriting the Rules of Advertising

Privacy, Trust & AI: How U.S. Consumers Are Rewriting the Rules of Advertising

  • ARF Original Research

The ARF’s latest privacy study shows that U.S. consumers are more informed, more trusting and more engaged with artificial intelligence than ever before—yet still cautious about how it and other technologies use their data. Drawing on responses from more than 1,200 adults, the 2025 study reveals rising openness to data sharing when clear benefits exist, persistent skepticism toward certain targeting practices and growing expectations for transparency, especially around AI. For advertising researchers, the findings highlight a shifting privacy landscape where relevance, trust and first-party data strategies are increasingly intertwined.

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