Society's increasing dependence on Artificial Intelligence (AI) and AI-enabled systems require a more practical approach from software engineering (SE) executives in middle and higher-level management to improve their involvement in implementing AI ethics by making ethical requirements part of their management practices. However, research indicates that most work on implementing ethical requirements in SE management primarily focuses on technical development, with scarce findings for middle and higher-level management. We investigate this by interviewing ten Finnish SE executives in middle and higher-level management to examine how they consider and implement ethical requirements. We use ethical requirements from the European Union (EU) Trustworthy Ethics guidelines for Trustworthy AI as our reference for ethical requirements and an Agile portfolio management framework to analyze implementation. Our findings reveal a general consideration of privacy and data governance ethical requirements as legal requirements with no other consideration for ethical requirements identified. The findings also show practicable consideration of ethical requirements as technical robustness and safety for implementation as risk requirements and societal and environmental well-being for implementation as sustainability requirements. We examine a practical approach to implementing ethical requirements using the ethical risk requirements stack employing the Agile portfolio management framework.

翻译：社会对人工智能及人工智能赋能系统日益增长的依赖，要求软件工程领域的中高层管理者采取更务实的方法，通过将伦理要求纳入管理实践，提升其在实施人工智能伦理中的参与度。然而，研究表明，软件工程管理中伦理要求实施的研究主要聚焦技术开发层面，针对中高层管理者的成果甚少。本研究通过访谈十位芬兰软件工程中高层管理者，探讨他们如何考量与实施伦理要求。我们以欧盟可信人工智能伦理指南中的伦理要求为参照，并采用敏捷组合管理框架分析实施过程。研究发现，隐私与数据治理伦理要求通常被视作法律要求，而其他伦理要求未被识别。同时，伦理要求在实际中可操作性体现为：技术稳健性与安全性作为风险要求实施，社会与环境福祉作为可持续性要求实施。我们进一步探讨了基于伦理风险需求栈、采用敏捷组合管理框架实施伦理要求的实践路径。