Advances in International Computer Science

With the rapid development of artificial intelligence technology, AI customer service has been widely applied in various enterprises, providing efficient and quick services. However, ethical issues in the practice of AI customer service have gradually emerged, such as privacy leakage, algorithmic bias, and lack of decision-making transparency. These issues not only affect user experience but may also trigger legal and moral risks. To improve the ethical standards of AI customer service, it is crucial to design a scientific and systematic training system. Focusing on the ethical issues of AI customer service, this study proposes a training system that integrates theory and practice, and evaluates its effectiveness through real cases. Systematic training can effectively enhance the ability of AI customer service in ethical decision-making and reduce ethical risks. This research provides theoretical guidance and practical experience for the design of future ethical training systems for AI customer service.

AI customer service; Ethical issues; Training system; Effect evaluation; Algorithmic bias