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相关概念视频

Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

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The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
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Treatment Strategies for Psychological Disorders01:24

Treatment Strategies for Psychological Disorders

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Treatment approaches for psychological disorders fall into three main categories: psychological, biological, and sociocultural. Each approach targets different aspects of mental health, requiring varying levels of education and training.
Psychological therapies focus on modifying emotions, thoughts, and behaviors through talking, interpreting, listening, rewarding, challenging, and modeling. Clinical psychologists, counselors, and social workers commonly practice psychotherapy. Clinical...
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Community Based Intervention01:30

Community Based Intervention

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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Cognitive Therapy01:25

Cognitive Therapy

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Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...
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基于大型语言模型的心理健康聊天机器人的快速工程框架:概念框架

Sorio Boit1, Rajvardhan Patil1

  • 1Department of Computer Science, College of Computing, Grand Valley State University, 1 Campus Dr, Allendale, MI, 49401, United States, 1 616-331-4375.

JMIR mental health
|November 7, 2025
PubMed
概括

本研究介绍了MIND-SAFE框架,用于开发安全有效的AI心理健康聊天机器人. 它概述了快速工程原理和一个分层的架构,以确保在心理健康护理中的道德AI.

科学领域:

  • 心理健康技术 心理健康技术
  • 医疗保健中的人工智能
  • 临床心理学 临床心理学

背景情况:

  • 大型语言模型 (LLM) 提供可扩展的心理健康支持,但引发了安全和伦理方面的担忧.
  • 一个结构化的框架对于负责任的人工智能在精神卫生保健中的发展至关重要.
  • 快速工程原理是缓解基于LLM的聊天机器人相关风险的关键.

研究的目的:

  • 通过对话提出心理健康 - - 保护和适应的伦理框架 (MIND-SAFE).
  • 为开发安全,有效和临床相关的人工智能心理健康干预提供实际基础.
  • 在AI聊天机器人设计中整合基于证据的治疗模型,适应性技术和道德保障.

主要方法:

  • 概述一个基于LLM的心理健康聊天机器人的层次架构.
  • 在输入层实施主动风险检测.
  • 使用对话引擎与用户状态个性化和检索增强生成以建立基于证据的治疗基础 (CBT,ACT,DBT).
  • 整合一个多层安全系统与道德过器和治疗师监督.

主要成果:

  • MIND-SAFE框架系统地将临床原则和伦理保障嵌入到AI系统设计中.
  • 建议采用比较验证策略来评估框架的附加值.
关键词:
人工智能在心理健康护理中的应用在 MIND-SAFE 框架下,人工智能的人工智能是人工智能.交谈式的人工智能数字心理健康数字心理健康伦理的人工智能大型语言模型心理健康聊天机器人聊天机器人快速的工程迅速的工程

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  • 框架组件与人工智能在心理健康领域的既定标准保持一致 (例如,FAT-MH,REAM-DEI).
  • 结论:

    • MIND-SAFE框架为基于LLM的负责任的心理健康支持开发提供了基础.
    • 为创建技术上有能力,安全,有效和道德的人工智能心理健康工具提供指导.
    • 通过分阶段的比较方法进行经验验证是未来研究的建议.