AI as Psychological First Aid: Conceptualising Ethical, Non-Therapeutic Support in the Digital Age

Abstract

The proliferation of AI chatbots for emotional support has generated controversy within mental health communities, with critics warning of pseudo-therapeutic harm and proponents emphasising user-reported benefits. This conceptual article resolves this impasse by reframing AI-mediated support through the lens of Psychological First Aid (PFA)—a structured, non-therapeutic intervention designed for acute stabilisation, triage, and referral. Drawing on interdisciplinary scholarship in clinical psychology, human-computer interaction, coaching theory, and public health, I argue that AI systems, when transparently bounded and operationally aligned with PFA principles, can ethically expand access to immediate psychological support without encroaching on professional therapeutic practice. The analysis systematically maps PFA's core components—rapport, assessment, prioritisation, intervention, and disposition—onto AI capabilities, demonstrating both technical feasibility and inherent limitations. Ethical considerations, including functional authority misattribution, boundary dissolution, privacy vulnerabilities, and algorithmic bias, are examined alongsideprinciples for responsible deployment. A discourse analysis of popular media illustrates how users intuitively position AI between coaching and acute support, revealing both the psychological mechanisms underlying perceived benefit and the risks requiring mitigation. Implications for designers, educators, and researchers emphasise that ethical AI depends not on expanding its scope but on rigorously constraining it, ensuring systems function as bridges  to professional care rather than substitutes. This framework offers a foundation for future empirical testing, interdisciplinary collaboration, and normative refinement in digital mental health innovation.