Machine Learning is disrupting the current requirement-engineering paradigm and ethics of information technology. This is because of its ethical issues, humanoid proficiencies, learning skills, autonomy, self-redesign capabilities, and mixed-up hardware and software. Prominent philosophers, ethicists, and machine scholars suggest charging them with certain principles such as fairness, transparency, accountability, efficiency, competence, and beneficence. We suggest a tentative framework that employs traditions of requirement engineering for engineering these ethical principles. It also suggests employing an ethics engineer with the development team to elicit, analyze, negotiate& specify, validate, manage, and maintain ethical requirements for autonomous machines.
Abdel-Aal, Abdelnasser, "On Engineering The Ethical Requirements of Machine Learning" (2021). AMCIS 2021 TREOs. 48.
Rate Potential Impact
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.