Beyond Nutrition Labels: How Analogical Reasoning Shapes Synthetic Media Disclosure Design

Disclosure design involves fundamental trade-offs between competing goals: Organizations designing synthetic media disclosures face two central tensions—balancing whether disclosures should be neutral versus take normative stances, and whether they should be proactive in warning users versus precise in avoiding false alarms.

Analogical reasoning from other domains shapes AI transparency decisions: Policymakers and practitioners designing synthetic media disclosures frequently draw analogies to existing disclosure models like nutrition labels and Prop 65 warnings, though these analogies help manage tensions without fully resolving them.

Current disclosure approaches may have limitations: The study found that while disclosures aim to achieve key goals like process transparency and harm reduction, relying on analogies from other domains may not adequately address the unique challenges of synthetic media in the AI age.

Decision-makers' choices matter as much as user understanding: The research emphasizes that upstream decisions by AI practitioners and policymakers—not just how users interpret disclosures—significantly shape whether synthetic media disclosures actually help audiences evaluate credibility.

More research needed on disclosure governance: The study calls for greater scholarly attention to the people and organizations making disclosure design decisions, rather than focusing solely on how end users respond to disclosures.