How do chatbots affect your mental health?

In 5 seconds A Canada-wide research group has created a practical framework to help healthcare professionals systematically assess their patients’ use of AI.
According to Dr. Hudon, the challenge is to recognize that AI has become a part of many patients’ daily lives.

“How are you doing?” “Are you sleeping well?” “Do you drink?” These are typical opening questions a mental-health professional might ask a patient.

Soon, another question may be added to the list: “How do you use artificial intelligence (AI)?”

Since the advent of chatbots such as ChatGPT, generative AI has quickly become part of everyday life. People use it for information searches, to organize their work, to make decisions and even for entertainment. But some people also confide their worries, emotions and problems to a chatbot. For mental-health professionals, this new human-machine relationship is a factor that merits attention.

That is the purpose of the AWARE framework developed by a pan-Canadian research team led by Dr. Alexandre Hudon, a psychiatrist, clinical professor in the Department of Psychiatry and Addiction at Université de Montréal, and a core member of the Institut universitaire de santé mentale de Montréal research team. The tool offers a structured approach to discussing AI use with patients, without assuming that it is necessarily beneficial or harmful.

“We wanted to figure out how to integrate discussion of AI use into our clinical practice, just as we ask about smoking, drugs and so on,” said Hudon. “In some cases, there can be a real interaction between human and bot, so we want to be able to screen for the risk of adverse effects from AI exposure.”

Five letters, five dimensions

The acronym AWARE stands for the five dimensions examined: AI use, Why, Attachment, Reality and risk, and Effect on functioning. The framework examines the use of AI, the reasons for it, attachment to the technology, its effects on perception of reality, the associated risks and the consequences for daily functioning.

The goal is to understand what people actually do with AI (frequency of use, tools used, tasks, habits) and the motivations for using it. Is the chatbot an enhanced search engine, an assistant for organizing daily life, a source of emotional support or even a confidant? That last possibility leads directly to the third dimension: attachment.

“One thing that makes talking to an AI model different is that it leads to an interaction,” Hudon noted. “The machine responds, sometimes remembers the context of a conversation and can adopt a warm or empathetic tone. As a result, an emotional investment in the relationship can develop. The AWARE framework encourages clinicians to consider the role this relationship plays in the patient’s life.”

Next, AWARE looks at how AI influences the perception of reality and decision-making. “Imagine a person who believes they are being watched by the people around them,” Hudon said. “They ask a chatbot to help them interpret what they are experiencing. Depending on how the system responds, the conversation could reinforce their perception or lead them to question it.”

Finally, AWARE considers the impact on daily functioning. The use of AI becomes clinically relevant when it begins to affect daily life—sleep, diet, work, studies, social relationships or recovery.

Opening a dialogue

AWARE is not a checklist of symptoms or a scale that automatically determines whether someone has an AI addiction. Hudon describes it as a practical framework that can complement a psychiatric interview and help professionals incorporate this new factor into their information-gathering process.

The approach is deliberately non-confrontational. “A person may think of their conversations with an AI model as something very private, or feel uncomfortable talking about it,” Hudon explained. “A series of questions that sound accusatory could backfire and cause the person to hide their use of AI. The purpose of our approach is screening.”

Developing a new clinical reflex

The research team believes the conversation about AI should eventually become part of best practices for mental-health professionals. But it doesn’t mean every doctor or psychologist must become an expert on AI.

“Rather, the point is to recognize that AI has become a part of many patients’ daily lives—and it can now play a role in how they think, seek information, manage their emotions or maintain their relationships,” Hudon said.

Among the potential risks, he cited an increase in depressive or anxiety symptoms linked to AI-amplified concerns, as well as changes in neurovegetative patterns such as sleep duration.

The AWARE framework is a first attempt to integrate the impact of AI into clinical practice across Canada. Hudon stressed that several steps remain: validating the framework, evaluating its implementation in healthcare settings, studying its use in training, and adapting it to different cultural contexts.

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