TY - GEN
T1 - Teaching responsible machine learning to engineers
AU - Weerts, H.J.P.
AU - Pechenizkiy, Mykola
PY - 2022/3/14
Y1 - 2022/3/14
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85171430882
M3 - Conference contribution
T3 - Proceedings of Machine Learning Research
SP - 40
EP - 45
BT - Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop
PB - PMLR
T2 - 2nd Teaching Machine Learning and Artificial Intelligence Workshop
Y2 - 8 September 2021 through 13 September 2021
ER -