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This research paper critically examines the ethical considerations inherent in the adoption of artificial intelligence (AI) for mental health diagnosis. As AI technologies increasingly contribute to the identification and assessment of mental health conditions, concerns related to privacy, bias, and the potential impact on the therapeutic relationship have become paramount. The abstract explores the ethical dimensions of utilizing AI algorithms in mental health, emphasizing the need for transparent guidelines, informed consent, and ongoing oversight. It further discusses the implications for patient autonomy, the role of healthcare professionals, and the establishment of ethical frameworks to ensure the responsible integration of AI in mental health diagnosis.