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As generative AI systems seamlessly blend reality with fabrication, helping users calibrate their trust becomes a pressing challenge. Without appropriate signals, users may over-rely on incorrect AI advice or hallucinated outputs on one hand, or harbor skepticism toward digital media on the other hand. To foster appropriate reliance and safeguard responsible user opinion formation, emerging mandates like the European AI Act enforce strict requirements for AI disclosures. However, static, compliance-driven labels often
induce user fatigue or trigger cognitive effects that make users inadvertently validate unlabeled misinformation.Â
Our workshop aims to establish an interdisciplinary community to address these critical socio-technical gaps. Buoyed by the core theme of HCOMP 2026, this workshop argues to transform AI disclosures from passive regulatory checkboxes into dynamic, interactive tools designed to empower human metacognition to actively foster appropriate trust calibration. We invite full research papers and short position papers exploring the behavioral impacts of disclosure formats, human-centered uncertainty communication, media provenance infrastructure (e.g., watermarking), and strategies to preserve epistemic agency and security in public discourse. Through interactive talks and hands-on co-creation breakout sessions, participants will dissect technical trade-offs and map out human-centric disclosure metrics.
We look forward to catching you all at our workshop soon!
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