most citedHarmful Traits of AI Companions

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT

Marx Wang, Ella Zhang, Cameron Tan +11

Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences using Ch…

cs.AI2026

When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration

AI Collaboration, Jiaying Wu, Caleb Ziems +19

We aim to characterise the value of artificial intelligence in the workplace. Current studies largely measure this value in terms of the current automation capabilities and public…

cs.CL2026

DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots

Jared Moore, Andrea Mock, Yifan Mai +9

Mental health professionals have raised concerns about risks of psychological harm from interaction with large language models (LLMs), including "delusional spirals" in which conce…

cs.CL2026★ 1 cited

The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue

Ashish Mehta, Jared Moore, Jacy Reese Anthis +6

There is growing concern that AI chatbots might fuel delusional beliefs in users. Some have suggested that humans and chatbots mutually reinforce false beliefs over time, but quant…

cs.HC2025★ 2 cited

Harmful Traits of AI Companions

W. Bradley Knox, Katie Bradford, Samanta Varela Castro +6

Amid the growing prevalence of human-AI interaction, large language models and other AI-based entities increasingly provide forms of companionship to human users. Such AI companion…