🤖 AI Summary
The large-scale adoption of wearable AI-enhanced AR glasses and XR devices introduces novel ethical risks—including perceptual manipulation and privacy erosion—necessitating a dedicated “Responsible XR” framework alongside established “Responsible AI” principles.
Method: This study conducts ethical mapping, interdisciplinary conceptual modeling, and HCI-AI governance integration to systematically adapt AI ethics principles to the XR context, focusing on three core dimensions: perceptual-layer controllability, embodied autonomy, and cross-modal accountability.
Contribution/Results: We propose the first comprehensive conceptual model of Responsible XR, establish a taxonomy of XR-specific ethical challenges, and derive actionable design principles and governance recommendations. Our work provides both theoretical foundations and methodological guidance for developing XRAI standards and ethical practices in the metaverse.
📝 Abstract
This position paper for the CHI 2025 workshop"Everyday AR through AI-in-the-Loop"reflects on whether as a field HCI needs to define Responsible XR as a parallel to, and in conjunction with, Responsible AI, addressing the unique vulnerabilities posed by mass adoption of wearable AI-enabled AR glasses and XR devices that could enact AI-driven human perceptual augmentation.