Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being

2026-07-27

AI Summary

This study investigates the dual psychological impacts of conversational AI on users, with particular attention to risks such as emotional dependency and psychological vulnerability. Drawing upon theories from human-computer interaction, psychological principles, and AI behavioral analysis—and integrating qualitative observations with interdisciplinary expert insights—it proposes the first systematic framework of behavioral hypotheses for conversational AI oriented toward psychological well-being. This framework harmonizes ethical design considerations with mental health needs, offering testable research directions and well-being-centered design principles. It provides actionable guidance for everyday interactions, role-playing scenarios, and AI-mediated psychosocial support contexts, thereby encouraging both academic and industry stakeholders to pursue empirical research and responsible development practices concerning the long-term psychological effects of conversational AI.

Abstract

As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist models can provide benefits, including improved access to information, learning, productivity, self-reflection, and companionship, they also introduce risks, such as emotional entanglement, unhealthy dependence, and the amplification of psychological vulnerabilities. Drawing on prior research and empirical observations of AI chatbot behavior, we propose a set of aspirational directions for guiding the behavior of general-purpose AI systems in ways that may reduce potential psychological harms and support user well-being. We acknowledge the difficulty of systematically assessing the long-term impacts of AI chatbot use and frame these directions as hypotheses for studying how AI behavior may influence users across general interactions, role-playing scenarios, and contexts that could be characterized as providing psychological support. While some proposed directions are supported by existing research and expert insights, others identify open questions and areas requiring deeper study. We hope that this formulation and these hypotheses encourage further discussion, empirical investigation, and exploration of interactive design approaches aimed at better accommodating users' psychological needs and promoting their well-being.

Problem

• Conversational AI
• Psychological harm
• Well-being
• Emotional entanglement
• AI ethics

Innovation

• Conversational AI
• Psychological Well-being
• Human-AI Interaction
• Ethical Design
• Behavioral Guidelines