Related papers: Whole-Person Education for AI Engineers

Whole-Person Education for AI Engineers

URL: http://arxiv.org/abs/2506.09185v1
Date: Tue, 10 Jun 2025 19:03:31 GMT
Title: Whole-Person Education for AI Engineers
Authors: Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri, Animesh Paul, Branislav Radeljić, Joshua Owusu Ansah, Beyza Nur Guler, Indrani Bhaduri, Rodney Kimbangu, Nils Ever Murrugarra Llerena, Hayoung Shin, Lilianny Virguez, Rosa Paccotacya Yanque, Thomas Mekhaël, Allen Munoriyarwa, Leslie Salgado, Debarati Basu, Curwyn Mapaling, Natalie Perez, Yves Gaudet, Paula Larrondo,
Abstract summary: The study identifies key motivations driving the call for change in AI engineering education.<n>The findings challenge the myths of technological neutrality and technosaviourism.<n>The study provides valuable insights and recommendations for transforming AI engineering education.
Score: 0.7895785395897614
License: http://creativecommons.org/licenses/by/4.0/
Abstract: This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person education as a theoretical approach needed in AI engineering education to address the limitations of current paradigms that prioritize technical expertise over ethical and societal considerations. Drawing on a collaborative autoethnography approach of fourteen diverse stakeholders, the study identifies key motivations driving the call for change, including the need for global perspectives, bridging the gap between academia and industry, integrating ethics and societal impact, and fostering interdisciplinary collaboration. The findings challenge the myths of technological neutrality and technosaviourism, advocating for a future where AI engineers are equipped not only with technical skills but also with the ethical awareness, social responsibility, and interdisciplinary understanding necessary to navigate the complex challenges of AI development. The study provides valuable insights and recommendations for transforming AI engineering education to ensure the responsible development of AI technologies.

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