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Research (Full Papers)
Wed 14 Jun 2023 11:00 - 11:20 at Aurora Hall - AI and Software Engineering Chair(s): Valentina LenarduzziSociety’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.
Pre-print File AttachedAs the use of artificial intelligence (AI) in various industries becomes increasingly widespread, it’s crucial to address the ethical concerns that arise with this technology. Software engineering (SE) plays a vital role in ensuring that AI systems are developed and deployed ethically, which requires a structured management approach to evaluate and implement their ethical requirements. This tutorial introduces the Ethical Requirements Stack as a practical and hands-on approach for SE management stakeholders to implement the ethical requirements of AI. Attendees will learn how to use the framework to evaluate and implement ethical requirements to optimize their potential to enhance research endeavors in AI ethics. The tutorial focuses on SE engineers, project managers, researchers, and practitioners interested in learning about implementing ethical considerations of AI in SE practices.
