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This chapter meticulously examines the advantages and drawbacks of integrating generative AI into youth mental health. It explores the substantial support users can experience when generative AI is incorporated into mental health apps or healthcare centers. It provides an overview of the properties of relevant large language models and their applications. Additionally, readers are informed about the potential consequences of using generative AI for distress support. The chapter offers practical insights into designing generative AI models for mental distress, emphasizing the importance of ethical considerations in their development. By weighing the benefits and challenges, this chapter equips readers with a comprehensive understanding of how generative AI can both enhance and raise pertinent concerns in the field of mental health.

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Generative AI in Mental Well-Being: Balancing Pros and Cons

  • 章节

  • 发表日期：

    2025年

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  • Sharmistha Chatterjee,
  • Azadeh Dindarian,
  • Usha Rengaraju

摘要

This chapter meticulously examines the advantages and drawbacks of integrating generative AI into youth mental health. It explores the substantial support users can experience when generative AI is incorporated into mental health apps or healthcare centers. It provides an overview of the properties of relevant large language models and their applications. Additionally, readers are informed about the potential consequences of using generative AI for distress support. The chapter offers practical insights into designing generative AI models for mental distress, emphasizing the importance of ethical considerations in their development. By weighing the benefits and challenges, this chapter equips readers with a comprehensive understanding of how generative AI can both enhance and raise pertinent concerns in the field of mental health.