Ethical AI in Personalized Mental Health: Navigating Bias & Privacy
The future of AI in mental healthcare holds promise for personalized support, yet ethical considerations arise. Key principles like beneficence, non-maleficence, autonomy, and justice must guide development. Addressing algorithmic bias and ensuring data privacy and transparency is crucial. Collaboration between developers, clinicians, and users is essential for responsible, effective mental wellness solutions.