IJCAI 2023poster0 citations
Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)
Abstract
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.
Multidisciplinary Topics and Applications: MDA: EducationAI Ethics, Trust, Fairness: GeneralAI Ethics, Trust, Fairness: ETF: AI and law, governance, regulationAI Ethics, Trust, Fairness: ETF: Ethical, legal and societal issuesAI Ethics, Trust, Fairness: ETF: Moral decision makingAI Ethics, Trust, Fairness: ETF: Societal Impact of AIAI Ethics, Trust, Fairness: ETF: Trustworthy AIAI Ethics, Trust, Fairness: ETF: ValuesHumans and AI: HAI: Computational sustainability and human wellbeing
BibTeX
@inproceedings{ijcai2023p794,
title = {Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)},
author = {Vanhée, Loïs and Borit, Melania},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {6979--6984},
year = {2023},
month = {8},
note = {Journal Track},
doi = {10.24963/ijcai.2023/794},
url = {https://doi.org/10.24963/ijcai.2023/794},
}