AI and Mental Health: The Promise, Risks, and Future of AI Therapy with Dr. Hiba Arnaout

In this episode of Beyond the Couch: AI and Psychology, Dr. Ernest Wayde sits down with Dr. Hiba Arnaout, a postdoctoral researcher at the Ubiquitous Knowledge Processing (UKP) Lab at TU Darmstadt. Dr. Arnaout’s research focuses on natural language processing, knowledge graphs, digital mental health, scholarly AI, and responsible AI. She discusses how AI is already being used for mental health support, particularly when people face barriers to traditional therapy, and explores how AI could help improve access and support therapists with tasks such as therapy session summaries and clinical insights.

The conversation also examines the risks of AI in mental health, including hallucinations, unreliable information, and challenges in evaluating AI-generated outputs. Dr. Arnaout discusses the growing use of AI as a therapist or companion and emphasizes the importance of systematic evaluation, human oversight, and collaboration between psychologists and computer scientists to develop safer, clinically grounded AI tools.

Takeaways:

• AI can expand access to mental health support when therapy is hard to reach.
• People are already using AI for therapy, coaching, companionship, and emotional support.
• Hallucinations create real risks in mental health and clinical use.
• AI should be systematically evaluated before being trusted for specific tasks.
• LLMs can help scale evaluation, but human oversight still matters.
• AI should be judged by the task it performs, not simply as “good” or “bad” for mental health.

Connect with Dr. Hiba Arnaout

Website: https://hibaarnaout.com/

Linkedin: linkedin.com/in/hiba-arnaout-a93996147

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Chapters:

00:00 - Intro

02:35 - From Computer Science to Mental Health AI Research

04:47 - The Rise of ChatGPT in Mental Health

06:40 - Four Directions of AI for Psychology

09:17 - What Does AI Safety in Mental Health Actually Look Like?

13:50 - Can AI Improve Access to Mental Health Support?

16:50 - Hallucinations: A Major Risk in AI Mental Health Tools

18:43 - Can AI Find Insights Therapists Might Miss?

19:22 - The Challenge of Evaluating Subjective Clinical Decisions

21:48 - AI Explainability: Why Did the Model Reach That Conclusion?

24:15 - Why Psychologists Must Be Part of AI Development

26:10 - Where AI Shows the Most Promise in Mental Health

28:34 - Why AI Should Support Therapists, Not Replace Them

30:05 - Dr. Hiba’s Advice: Evaluate AI Before You Trust It