论文标题
基于人工智能的情感识别:亲社会道路的承诺,危险和处方
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
论文作者
论文摘要
自动化情绪识别(AER)技术可以使用面部表情,语音属性,文本,身体运动和神经信号来实时检测人类的情绪状态,并且在许多领域都有广泛的应用。它可以帮助企业对客户有更深入的了解,从而监视个人在医疗保健,教育或汽车行业中的情绪,并能够识别出取证中的暴力和威胁。但是,AER技术还冒着使用人工智能(AI)来解释敏感人类情绪的风险。它可用于经济和政治权力和违反个人权利。人类的情绪是高度个人化的,用户对隐私入侵,情感操纵和偏见有着合理的关注。在本文中,我们提出了AER应用的承诺和危险。我们讨论与数据和AER系统相关的道德挑战,并突出显示未来AER应用的亲社会观点的处方。我们希望这项工作将帮助AI研究人员和开发人员设计亲社会的应用程序。
Automated emotion recognition (AER) technology can detect humans' emotional states in real-time using facial expressions, voice attributes, text, body movements, and neurological signals and has a broad range of applications across many sectors. It helps businesses get a much deeper understanding of their customers, enables monitoring of individuals' moods in healthcare, education, or the automotive industry, and enables identification of violence and threat in forensics, to name a few. However, AER technology also risks using artificial intelligence (AI) to interpret sensitive human emotions. It can be used for economic and political power and against individual rights. Human emotions are highly personal, and users have justifiable concerns about privacy invasion, emotional manipulation, and bias. In this paper, we present the promises and perils of AER applications. We discuss the ethical challenges related to the data and AER systems and highlight the prescriptions for prosocial perspectives for future AER applications. We hope this work will help AI researchers and developers design prosocial AER applications.