AI情绪识别技术在电商客服中的伦理风险

Ethical Risks of AI Emotion Recognition Technology in E-Commerce Customer Service

摘要: AI情绪识别技术在电商客服中的应用提升了服务效率，但也带来了一些潜在的伦理风险。技术偏见可能导致个体差异的误解，从而影响服务的公平性和准确性。AI系统的错误判断可能导致责任归属问题，尤其是在发生错误处理时如何界定责任主体成为问题。同时AI技术可能被恶意利用，进行情感操控，过度干预用户情绪或影响心理健康，尤其对情感脆弱的群体更具风险。因此为确保算法公正性、建立明确的责任机制、并赋予用户更多的知情权与控制权，是解决这些问题的关键。通过多样化训练数据，加强模型监控，透明化用户信息等措施，可以有效规制AI情绪识别技术的伦理风险，保护用户权益并促进其合法合规使用。

Abstract: AI emotion recognition technology applied in e-commerce customer service improves service efficiency, but also brings some potential ethical risks. Technical bias may lead to the misunderstanding of individual differences, thus affecting the fairness and accuracy of the service. The misjudgment of the AI system may lead to the problem of attribution of responsibility, especially how to define the responsible subject becomes a problem when error handling occurs. Meanwhile, AI technology may be maliciously utilized for emotional manipulation, over-interfering with users’ emotions or affecting their mental health, which is especially risky for emotionally vulnerable groups. Therefore, in order to ensure the fairness of the algorithm, establish a clear responsibility mechanism, and give users more right to know and control is the key to solve these problems. Measures such as diversifying training data, strengthening model monitoring, and transparently adopting user information can effectively regulate the ethical risks of AI emotion recognition technology, protect users’ rights and interests, and promote its legal and compliant use.