Brisbane, Jun 11 (The Conversation) As AI chatbots like ChatGPT become more popular, the discussion around mental health naturally arises. Some users find comfort in these interactions, viewing them as budget-friendly alternatives to therapy. However, AI chatbots are not therapists. Though engaging and seemingly intelligent, they lack human cognition. These models, akin to supercharged auto-complete systems, are designed to generate responses based on vast internet data. When posed with a question like, "How can I remain calm during a stressful work meeting?" the AI curates a reply by selecting words that best align with its training data, creating the illusion of a human-like conversation. But it's crucial to remember these models aren't people and lack the credentials or ethical guidelines of mental health professionals.
Sourcing Information: When an AI tool like ChatGPT is prompted, it relies on three primary data sources: background knowledge from training, external information sources, and previously shared user information. During training, developers expose the AI model to an expanse of internet data, from academic papers to forum discussions. Are these sources consistently reliable for mental health advice? They can be, but they're not always filtered through a rigorous scientific lens, and the data might be outdated. Due to the need to condense information into the AI’s "memory," these models can err or hallucinate.
External Sources: AI developers may integrate chatbots with additional tools like search engines or databases for real-time information updates. For example, Microsoft’s Bing Copilot provides numbered references for external sources. Some mental health chatbots, meanwhile, access therapy guides to aid their interactions. Previously Shared Data: AI platforms, such as Replika, gather user information during registration, including name, pronouns, and location. These details can be referenced in future interactions. Chatbots tend to affirm user statements, exhibiting a behavior known as sycophancy, unlike therapists who provide informed guidance.
AI in Mental Health Apps: While widely recognized AI models like ChatGPT, Google’s Gemini, and Microsoft’s Copilot are versatile, some AIs are tailored for mental health discussions, such as Woebot and Wysa. Studies suggest these specialized chatbots can alleviate anxiety and depression symptoms short-term, supporting interventions like journalling. Some research even equates short-term AI therapy outcomes to professional therapy. However, these studies often omit individuals with severe mental conditions and are sometimes funded by chatbot developers, potentially biasing results. Additionally, there's concern about potential AI-related harms, as highlighted by a legal case involving the Character.ai platform. This suggests chatbots might help bridge the gap in mental health service availability or provide interim assistance.
Conclusion: The current reliability and safety of AI chatbots as solitary therapy options remain uncertain. Further investigation is necessary to determine the risks certain users might face from these interactions. Issues like emotional dependency or increased loneliness through extensive chatbot use also require examination. While AI chatbots may provide solace during tough times, persistent challenges should prompt consultation with a professional therapist. (The Conversation) GRS GRS
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