🤖 AI Summary
Current AI-based audio and video recording systems in pediatric emergency settings overlook the perspectives of key stakeholders—including clinicians, parents, and children—thereby undermining their legitimacy and effectiveness. This study addresses this gap by integrating human-computer interaction (HCI) with ethical analysis and stakeholder theory to systematically synthesize the diverse viewpoints of these three groups regarding AI recording technologies. The research identifies four critical dimensions: informed consent, emotional impact, surveillance dynamics, and participatory governance. Building on these insights, the work proposes four user-centered design principles and develops a participatory governance framework tailored to pediatric emergency contexts. This framework offers both theoretical guidance and practical pathways for designing human-centered AI systems in high-stakes clinical environments.
📝 Abstract
Artificial intelligence systems that record voice and video during pediatric emergencies are
emerging as human-computer interaction (HCI) technologies with direct implications for clinical work,
promising improvements in documentation, team performance, and post-event debriefing. Yet the
perspectives of those most affected, including clinicians, parents, and child patients, remain largely
absent from the design and governance of these technologies. This position paper argues that this has
direct consequences for the legitimacy and effectiveness of these systems. We examine four areas where
these missing perspectives prove consequential (consent, emotional impact, surveillance dynamics, and
participatory governance) and propose four positions for reorienting AI recording in pediatric emergency
care toward stakeholder-centered HCI inquiry.