Abstract
Due to the increasing use of Artificial Intelligence (AI) in Education, as well as in other areas, different ethical questions have been raised in recent years. Despite this, only a few practical proposals related to ethics in AI for Education can be found in scientific databases. For this reason, aiming to help fulfill this gap, this work proposes a solution in ethics by design for teaching and learning processes using a top-down approach for Artificial Moral Agents (AMA), following the assumptions defended by the Values Alignment (VA) in the AI area. Therefore, using the classic Beliefs, Desires, and Intentions (BDI) model, we propose an architecture that implements a hybrid solution applying both the utilitarian and the deontological ethical frameworks. Thus, while the deontological dimension of the agent will guide its behavior by means of ethical principles, its utilitarian dimension will help the AMA to solve ethical dilemmas. Whit this, it is expected to contribute to the development of a safer and more reliable AI for the Education area.
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Córdova, P.R., Vicari, R.M. (2022). Practical Ethical Issues for Artificial Intelligence in Education. In: Reis, A., Barroso, J., Martins, P., Jimoyiannis, A., Huang, R.YM., Henriques, R. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2022. Communications in Computer and Information Science, vol 1720. Springer, Cham. https://doi.org/10.1007/978-3-031-22918-3_34
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