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Paper Number
1131
Theme Table
3
Abstract
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.
Recommended Citation
Abdel-Aal, Abdelnasser, "On Engineering The Ethical Requirements of Machine Learning" (2021). AMCIS 2021 TREOs. 48.
https://aisel.aisnet.org/treos_amcis2021/48
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