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Teaching responsible machine learning to engineers

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Abstract

With the increasing application of machine learning in practice, there is a growing need to incorporate ethical considerations in engineering curricula. In this paper, we reflect upon the development of a course on responsible machine learning for undergraduate engineering students. We found that technical material was relatively easy to grasp when it was directly linked to prior knowledge on machine learning. However, it was non-Trivial for engineering students to make a deeper connection between real-world outcomes and ethical considerations such as fairness. Moving forward, we call upon educators to focus on the development of realistic case studies that invite students to interrogate the role of an engineer.

Original languageEnglish
Title of host publicationProceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop
PublisherPMLR
Pages40-45
Number of pages6
Publication statusPublished - 14 Mar 2022
Event2nd Teaching Machine Learning and Artificial Intelligence Workshop - Virtual, Online
Duration: 8 Sept 202113 Sept 2021

Publication series

NameProceedings of Machine Learning Research
Volume170
ISSN (Print)2640-3498

Conference

Conference2nd Teaching Machine Learning and Artificial Intelligence Workshop
CityVirtual, Online
Period8/09/2113/09/21

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