Anonymity, Ethics & AI-Mediated Synthesis
Protecting Individual Privacy: This project is fundamentally committed to maintaining the anonymity of all HUNT study participants. All generated characters are synthetic composites—statistical aggregates, randomized walks through probability distributions, or outlier combinations that cannot be reverse-engineered to identify any specific individual. The HUNT data itself is anonymized at source; our fictional narratives add an additional protective layer, transforming population patterns into invented lives that honor the data's integrity without exposing personal identities.
AI Throughout the Process: Artificial intelligence permeates every stage of this project, from conception to realization. This proposal itself was generated through AI-assisted research and synthesis. The extraction of salient data categories, the identification of narrative conjunctions, and the construction of fictional hypotheses all emerge from AI analysis of longitudinal health patterns. Most significantly, the interactive avatars that museum visitors will encounter are generated in real-time by large language models, producing spontaneous speech that reflects the health, socioeconomic, and genetic conditions embedded in the data.
Narrative-Driven, Data-Enhanced: This is not data visualization, but narrative synthesis—fiction grounded in scientific reality. AI serves as the mediating layer that transforms statistical distributions into subjective human experience, creating emotionally resonant stories while maintaining fidelity to population health patterns. The result is a new form of cultural production: data-enhanced storytelling that demonstrates how AI can augment creative capacity when anchored to rigorous longitudinal research. Every generated character, every spoken word, every interactive response emerges from the conjunction of HUNT's decades of health data and AI's capacity to synthesize coherent, contextually appropriate narrative from structured information.
Ethical Considerations & Anonymization
No Re-identification Risk: All characters are synthetic composites or statistical aggregates. Even "outlier" profiles combine multiple real data points that cannot map back to individuals. HUNT data is anonymized at source; fictional layer adds additional protection.
Data Dignity: Narratives honor the lived experience behind statistics. Characters are not sensationalized or reduced to data points. Health struggles are presented with empathy and complexity.
Transparency: Installation clearly communicates that characters are fictional, generated from real health patterns but not representing any specific person. Visitors understand they're experiencing "data-driven fiction" rather than documentary testimony.
Research Questions & Creative Potential
Augmented Creativity: Can longitudinal health data genuinely enhance LLM-generated fiction beyond surface plausibility? Does grounding in real health trajectories create more compelling characters than purely imaginative approaches?
Anonymized Intimacy: Is it possible to create emotionally resonant, intimate narratives from anonymized aggregate data? Can statistics become storytelling without violating privacy?
Data Literacy Through Narrative: Do fictional characters help museum visitors understand longitudinal health research better than traditional data visualizations? Does empathy enable comprehension?
Ethical Data Use: Does this project demonstrate a responsible, culturally valuable application of population health data, or does it risk trivializing serious research? Where is the boundary between illumination and exploitation?