Scholarlink

<p>Researchers and clinicians are increasingly looking to leverage artificial intelligence (AI) and digital tools to improve psychiatric care. Of particular promise is addressing the youth mental health crisis. Yet, the introduction of AI-enabled digital technologies for psychiatric treatment of young adults raises a host of ethical, legal, and societal issues (ELSI). To provide guidance in addressing these issues, we convened a two-day meeting at the Radcliffe Institute for Advanced Study at Harvard University: <i>Advancing Neurotech Justice in Mental Health: Insights from an Interdisciplinary and Cross-Generational Workshop</i>. The meeting brought together a diverse cohort of 17 experts and 5 students from various fields and different countries. In partnership with the MIT Critical Data team, the workshop engaged participants in an interactive Prompt-a-Thon to explore first-hand the potential benefits, biases, and harms related to the use of Large Language Model chatbots in mental health care. This Perspective reports on five principles of digital psychiatry deployment that the workshop participants determined to be the most essential: ensuring accuracy, remaining human-centric, promoting just access, protecting privacy, and providing transparency. We place these five principles within a “Neurotech Justice” framework and discuss how guardrails can be built to promote neurotech justice in digital psychiatry.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Advancing neurotech justice in youth digital mental health: insights from an interdisciplinary and cross-generational workshop

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月8日

查看全文
  • Craig W. McFarland,
  • Donnella S. Comeau,
  • Sepideh Abdi,
  • Mahsa Alborzi Avanaki,
  • Leo Anthony Celi,
  • Julian Adong,
  • Shaikha Alothman,
  • Manal Brahimi,
  • RuQuan Brown,
  • Cecile Chavane,
  • Donnella S. Comeau,
  • Jack Gallifant,
  • Felix Garcia,
  • Gabriel Làzaro-Muñoz,
  • Eliane Motchoffo,
  • Claire Joy Moss,
  • Derek Ricketts,
  • Paulos Solomon,
  • Takeshi Tohyama,
  • Francis X. Shen,
  • Benjamin C. Silverman

摘要

Researchers and clinicians are increasingly looking to leverage artificial intelligence (AI) and digital tools to improve psychiatric care. Of particular promise is addressing the youth mental health crisis. Yet, the introduction of AI-enabled digital technologies for psychiatric treatment of young adults raises a host of ethical, legal, and societal issues (ELSI). To provide guidance in addressing these issues, we convened a two-day meeting at the Radcliffe Institute for Advanced Study at Harvard University: Advancing Neurotech Justice in Mental Health: Insights from an Interdisciplinary and Cross-Generational Workshop. The meeting brought together a diverse cohort of 17 experts and 5 students from various fields and different countries. In partnership with the MIT Critical Data team, the workshop engaged participants in an interactive Prompt-a-Thon to explore first-hand the potential benefits, biases, and harms related to the use of Large Language Model chatbots in mental health care. This Perspective reports on five principles of digital psychiatry deployment that the workshop participants determined to be the most essential: ensuring accuracy, remaining human-centric, promoting just access, protecting privacy, and providing transparency. We place these five principles within a “Neurotech Justice” framework and discuss how guardrails can be built to promote neurotech justice in digital psychiatry.