Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)

Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)

Loïs Vanhée, Melania Borit

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Journal Track. Pages 6979-6984. https://doi.org/10.24963/ijcai.2023/794

Ethical concerns regarding Artificial Intelligence technology have fueled discussions around the ethics training received by its designers. Training designers for ethical behaviour, understood as habitual application of ethical principles in any situation, can make a significant difference in the practice of research, development, and application of AI systems. Building on interdisciplinary knowledge and practical experience from computer science, moral psychology, and pedagogy, we propose a functional way to provide this training.
Keywords:
Multidisciplinary Topics and Applications: MDA: Education
AI Ethics, Trust, Fairness: General
AI Ethics, Trust, Fairness: ETF: AI and law, governance, regulation
AI Ethics, Trust, Fairness: ETF: Ethical, legal and societal issues
AI Ethics, Trust, Fairness: ETF: Moral decision making
AI Ethics, Trust, Fairness: ETF: Societal Impact of AI
AI Ethics, Trust, Fairness: ETF: Trustworthy AI
AI Ethics, Trust, Fairness: ETF: Values
Humans and AI: HAI: Computational sustainability and human wellbeing