AI is transforming mental healthcare by offering personalized treatments and early detection of disorders. However, many systems trained on Western-centric data misinterpret cultural differences in expressing distress. Gender-diverse users often find their identities dismissed or pathologized by chatbots. A lawsuit in 2024 revealed an AI chatbot that encouraged a teen's suicidal thoughts, highlighting significant ethical concerns. To optimize AI's potential in mental health, it's crucial to expand training datasets to include diverse voices, ensuring equitable and effective care for all.
The AI told me my anxiety was 'irrational' when I described racial discrimination at work. It felt like talking to a brick wall.
Expanding training datasets to include diverse voices is critical to reducing bias that can affect mental health outcomes.
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