Responsible AI principles provide ethical guidelines for developing AI systems, yet their practical implementation in software engineering lacks thorough investigation. Therefore, this study explores the practices and challenges faced by software practitioners in aligning with these principles. Through semi-structured interviews with 25 practitioners, we investigated their methods, concerns, and strategies for addressing Responsible AI in software development. Our findings reveal that while practitioners frequently address fairness, inclusiveness, and reliability, principles such as transparency and accountability receive comparatively less attention in their practices. This scenario highlights gaps in current strategies and the need for more comprehensive frameworks to fully operationalize Responsible AI principles in software engineering.

翻译：负责任人工智能原则为开发人工智能系统提供了伦理指导，然而其在软件工程中的实际应用尚缺乏深入研究。因此，本研究探讨了软件从业者在遵循这些原则时所面临的实践与挑战。通过对25位从业者进行半结构化访谈，我们调查了他们在软件开发中处理负责任人工智能问题的方法、关切点及应对策略。研究发现，尽管从业者经常处理公平性、包容性和可靠性等问题，但透明度和可问责性等原则在其实践中得到的关注相对较少。这一现状凸显了当前策略的不足，并表明需要更全面的框架来在软件工程中全面实施负责任人工智能原则。