Research Proposes Guidelines for Reducing Psychological Harms of Conversational AI

A new paper on arXiv (2607.25057) examines the psychological effects of conversational AI systems on user well-being. The authors, drawing on prior research and empirical observations, identify both benefits—such as improved access to information, learning, productivity, self-reflection, and companionship—and risks, including emotional entanglement, unhealthy dependence, and amplification of psychological vulnerabilities. They propose aspirational directions for guiding general-purpose AI behavior to reduce potential harms and support well-being. The paper acknowledges the difficulty of systematically assessing long-term impacts and frames these directions as hypotheses for studying AI influence across general interactions, role-playing scenarios, and other contexts. The research aims to inform design choices that promote user well-being while mitigating risks.