How to Handle Wellbeing in Socially Responsible AI? - Findings from Sleep Perspective -
How to Handle Wellbeing in Socially Responsible AI? - Findings from Sleep Perspective -
复制标题
如何处理社会责任人工智能中的福祉？
DOI：
--
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
K. Takadama
中科院分区：
文献类型：
--
作者：
K. Takadama
本文聚焦于社会责任人工智能(SRAI)，并讨论SRAI应该如何处理福祉。本文从SRAI人工智能伦理的角度出发，认为人工智能伦理的七个问题对于健康系统这样的健康系统来说是不够的，即健康状况总是在变化的，所以需要“适应性”作为应对健康的新概念。为探讨这一问题，本文以睡眠为研究对象，进行了睡眠阶段估计的人体实验，结果表明：(1)在许多情况下，自己的数据(即实验中的心率)有助于提高睡眠阶段估计的准确性，但在健康状况变化中没有用处；(2)与目标者相似度最高的他人数据即使在健康状况变化中也是有用的，这表明他人的数据有助于提供睡眠监测系统的“适应性”。
This paper focuses on Socially Responsible AI (SRAI) and discusses how SRAI should handle wellbeing. From the viewpoint of the AI ethics in SRAI, this paper claims that the seven issues of the AI ethics are not enough for the wellbeing systems such as a healthcare system, i.e. , the “adaptability” is needed as the new concept to cope with wellbeing because health condition always changes. To investigate this issue, this paper focuses on sleep and conducts the human subject experiment on the sleep stage estimation and has reveal the following implications: (1) own data ( i.e. , heartrate in this experiment) contributes to improving the accuracy of the sleep stage estimation in many cases but it is not useful in health condition change; (2) others’ data with the highest similarity of the target person is useful even in health condition change, which suggests that others’ data contributes to providing the “adaptability” in the sleep monitoring systems.
利用三角函数回归模型根据生物数据实时估计睡眠阶段
DOI：
--
发表时间：
2016
期刊：
影响因子：
--
作者：
Harada;T. ( Uwano;F.;Komine;T.;Tajima;Y.;Kawashima;T.)
通讯作者：
T.)