Embedding responsible al in technical education curriculum: a case study in an asynchronous online advanced data analytics course
Date
2024
Authors
Abadia, R.
Editors
Olsson, T.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
CEUR Workshop Proceedings, 2024 / Olsson, T. (ed./s), vol.3901, pp.67-80
Statement of Responsibility
Conference Name
7th Conference on Technology Ethics, Tethics 2024 (6 Nov 2024 - 7 Nov 2024 : Tampere)
Abstract
The rapid growth and widespread adoption of Artificial Intelligence (Al) highlighted the urgent need for higher education institutions to reform how ethics in computing, data science, and related fields are taught. While computing and professional ethics are typically included in the curriculum, they are often presented from a social science, legal, or philosophical perspective. This paper presents a case study on integrating responsible Al principles into an asynchronous online advanced data analytics course from a technical perspective. The study found that embedding ethics throughout the curriculum using experiential learning and applied ethics was effective in fostering students' comprehension and application of responsible Al concepts.
However, challenges included finding relevant case scenarios, lack of expertise among teachers, and developing suitable activities and assessments. Best practices identified include utilizing real-world case studies, implementing hands-on ethical coding exercises, and adopting interdisciplinary approaches. Lessons learned emphasize the importance of timing, practical application, and flexible curriculum design. This approach enabled students to assess and plan for the human consequences of Al applications, and design and implement risk mitigation strategies. The study represents a step forward in preparing students for ethical challenges in Al, while highlighting areas for future work, including teacher training and curriculum-wide integration of responsible Al principles.
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Copyright 2024 2024 for the individual papers by the papers' authors, for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0). (https://creativecommons.org/licenses/by/4.0/)