AI Voice Methodology: Using Generative AI in Qualitative Social Research

We introduce “AI Voice,” a qualitative research methodology using collaborative artificial intelligence (AI) image generation to explore sensitive topics with young people. Building upon photovoice traditions, participants collectively create and interpret AI-produced images rather than photographing directly. This disrupts artificial/authentic distinctions, reconceptualizing voice and representation in qualitative methodology. AI-generated images function as “epistemic foils”: their photorealistic yet emotionally unrealistic character creates productive distance enabling reflexive discussion. Through our pilot study (ages 18–24), participants engaged in “affective projection” while maintaining analytical safety, identifying gaps between AI outputs and personal experience. AI Voice enables collaborative meaning-making, positioning participants as critical curators.