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吴斌 / AI4SDGs项目,心理健康对话系统研究

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AI4SDGs项目,(以抑郁为代表)面向青少年心理健康的人机智能对话模型与系统。

介绍:

以抑郁为代表的青少年心理健康问题是当今世界各国普遍面临的一个难题,随着社会的发展和需要以及可持续发展目标的导向,心理健康教育及心理健康服务越来越受到重视。 当今人工智能已发展为能够改变社会面貌、推动社会进步的重要技术,而智能对话作为人工智能领域中自然语言处理应用之一,以不同的存在形式吸引着大众的注意。因此,为关注青少年心理健康问题,促进人工智能助力青少年心理健康教育,本项目将智能对话技术结合应用心理学知识应用于对青少年抑郁等心理健康分类及引导场景,搭建基于智能对话心理辅导的服务平台,利用智能对话技术及时发现青少年抑郁等心理健康问题,并为青少年提供心理良性引导等帮助,缓解心理健康问题,促进青少年心理健康成长。 目前,心理健康问题的心理治疗正开始发生巨大的变化。这一变化的驱动力是“数字技术”的广泛应用,也就是计算机、互联网、智能手机等移动设备和移动软件应用程序(app)。 数字技术提供了一种基于实证干预的途径。例如,计算机认知行为疗法(CBT)为年轻人提供了一种有希望且可接受的焦虑和抑郁干预方法。人工智能(AI)的研究对于心理健康服务中的治疗应用具有越来越重要的临床意义,人工智能技术在数字化心理健康支持方面有着巨大的希望。本项目基于AI技术的对话系统和服务,针对在校大学生做了实证性的实验分析研究,并进行了相关理论分析和相关算法模型技术研究,输出了针对抑郁的心理健康对话辅导系统和实验平台,并发表了一些相关研究论文。

详细说明:

代码, 面向青少年心理健康的人机智能对话系统核心代码, 目录:Psychological_health_dialogue_system。

代码, 两阶段可控情感生成式多轮对话模型, 目录:Controllable_Emotional_Dialogue_Generation。

代码, 基于深度学习的文本匹配单轮对话模型--SSEA模型, 目录:Text_Similarity_Modeling。

流程图, 关于抑郁症的心理健康筛查分类的专家系统流程图, 目录:Classification_of_adolescent_depression,文件:青少年抑郁症筛查分类流程图_研发版.pdf。

流程图, 法律法规自审查工具-安全, 目录:Law_legal_regulation,文件:法律法规自审查工具-安全.pdf。

流程图, 法律法规自审查工具-医疗健康界定, 目录:Law_legal_regulation,文件:法律法规自审查工具-界定.pdf。

流程图, 法律法规自审查工具-内容与推广, 目录:Law_legal_regulation,文件:法律法规自审查工具-内容与推广.pdf。

流程图, 法律法规自审查工具-隐私, 目录:Law_legal_regulation,文件:法律法规自审查工具-隐私.pdf。

参与贡献:

起硕(天津)智能科技有限公司,天津大学,北京智源研究院,小米科技有限责任公司。

致谢:

本研究受到面向可持续发展的人工智能公益研究计划资助。 This study is supported by the Artificial Intelligence for Sustainable Development Goals (AI4SDGs) Research Program.

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