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Society's increasing dependence on Artificial Intelligence (AI) andAI-enabled systems require a more practical approach from software engineering(SE) executives in middle and higher-level management to improve theirinvolvement in implementing AI ethics by making ethical requirements part oftheir management practices. However, research indicates that most work onimplementing ethical requirements in SE management primarily focuses ontechnical development, with scarce findings for middle and higher-levelmanagement. We investigate this by interviewing ten Finnish SE executives inmiddle and higher-level management to examine how they consider and implementethical requirements. We use ethical requirements from the European Union (EU)Trustworthy Ethics guidelines for Trustworthy AI as our reference for ethicalrequirements and an Agile portfolio management framework to analyzeimplementation. Our findings reveal a general consideration of privacy and datagovernance ethical requirements as legal requirements with no otherconsideration for ethical requirements identified. The findings also showpracticable consideration of ethical requirements as technical robustness andsafety for implementation as risk requirements and societal and environmentalwell-being for implementation as sustainability requirements. We examine apractical approach to implementing ethical requirements using the ethical riskrequirements stack employing the Agile portfolio management framework.

Implementing AI Ethics: Making Sense of the Ethical Requirements