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Artificial intelligence (AI) is rapidly transforming mental healthcare, offering new possibilities for diagnosis, personalized treatment, and improved access through tools like chatbots, predictive analytics, and remote therapy. However, as these technologies become more integrated into healthcare, ethical challenges such as data privacy, algorithmic bias, transparency, accountability, and informed consent have emerged as critical concerns. These challenges not only impact patient safety and autonomy but also influence public trust in digital mental health solutions.

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Toward a Responsible and Trustworthy AI System: Navigating Current Challenges and Pathways

  • 章节

  • 发表日期：

    2025年

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  • Sharmistha Chatterjee,
  • Azadeh Dindarian,
  • Usha Rengaraju

摘要

Artificial intelligence (AI) is rapidly transforming mental healthcare, offering new possibilities for diagnosis, personalized treatment, and improved access through tools like chatbots, predictive analytics, and remote therapy. However, as these technologies become more integrated into healthcare, ethical challenges such as data privacy, algorithmic bias, transparency, accountability, and informed consent have emerged as critical concerns. These challenges not only impact patient safety and autonomy but also influence public trust in digital mental health solutions.