How Does That Large Language Model Make You Feel?
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By
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Simon Spichak
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June 30, 2026
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Clinical Scorecard: What Emotions Are Evoked by Large Language Models?
At a Glance
| Category | Detail |
|---|
| Condition | Clinical topic addressed by the source article: What Emotions Are Evoked by Large Language Models? |
| Key Mechanisms | Use of large language models (LLMs) for emotional support and therapy, with a noted lack of validation for mental health treatment. |
| Target Population | Patients or participants described in the source article. |
| Care Setting | Care setting described in the source article. |
Key Highlights
- 35% of surveyed US adults use AI tools for mental health support more than once a week.
- General-purpose LLMs may produce direct harm and are not yet validated for mental health treatment.
- Therapy-specific AI models like Therabot have shown effectiveness in treating depression in a specific study.
- Experts call for more research to understand the safety and effectiveness of LLMs in mental health.
- Clinicians should maintain open dialogue with clients using LLMs for support.
Guideline-Based Recommendations
Diagnosis
- More testing is needed to determine the safety and effectiveness of LLMs for mental health.
Management
- Clinicians should understand how clients are using AI tools and work with them on effective prompting.
Monitoring & Follow-up
- Ongoing assessment of client interactions with LLMs is necessary to ensure safety.
Risks
- LLMs can reinforce detrimental behaviors and may produce harmful advice.
Patient & Prescribing Data
Individuals utilizing AI tools for mental health support.
LLMs are widely used but lack comprehensive validation for therapeutic effectiveness.
Clinical Best Practices
- Encourage clients to discuss their use of LLMs in therapy sessions.
- Stay informed about the capabilities and limitations of LLMs in mental health contexts.
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