Embedding Ethics into Neuroengineering Education: A Human-Centered Engineering Course on Neurorehabilitation

Nicolas Berberich, Natalia Paredes-Acuña, Benjamin Lipp, Gordon Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Neurotechnologies such as brain-computer interfaces, neuroprosthetics, neural-controlled exoskeletons, and brain stimulation systems are redefining how neurological patients are diagnosed and treated and how humans and machines interact. Thus, they raise crucial ethical questions about how they can and should impact our lives during their integration into society. To have a positive impact on society, a new generation of neuroengineers need to be trained to be aware of these ethical concerns and address them in their research and development projects. In this paper, we present a university course on neurorehabilitation technologies designed and tested for integrating ethics and social sciences into neuroengineering education. Following a competences-centered didactic approach, we discuss how project-based learning can be applied to help the students acquire a diverse set of human-centered engineering competences. Our results show that students trained in this way learn to embed multiple ethical values into their neurore-habilitation technologies and successfully design and describe evaluation experiments in accordance with the guidelines of a research ethics commission.

Original languageEnglish
Title of host publication11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781665462921
DOIs
StatePublished - 2023
Event11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Baltimore, United States
Duration: 25 Apr 202327 Apr 2023

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2023-April
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference11th International IEEE/EMBS Conference on Neural Engineering, NER 2023
Country/TerritoryUnited States
CityBaltimore
Period25/04/2327/04/23

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