3246447
doi
10.5281/zenodo.3246447
oai:zenodo.org:3246447
user-eu
Koidl, Kevin
ADAPT Centre, Trinity College Dubln
Lewis, Dave
ADAPT Centre, Trinity College Dubln
Pandit, Harshvardhan J.
ADAPT Centre, Trinity College Dubln
Gordijn, Bert
ADAPT Centre, Dublin City University
Discussing Ethical Impacts in Research and Innovation: The Ethics Canvas
Reijers, Wessel
ADAPT Centre, Dublin City University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Technologies are increasingly intertwined with people’s daily lives. Consequently, there is an increasing need to consider the ethical impacts that research and innovation (R&I) processes, both in commercial and non-commercial contexts, bring about. However, current methods that offer tools for practicing ethics in R&I inadequately allow for non-ethicists such as engineers and computer scientists to practise ethics in a way that fits the character of their work. As a response, we propose a tool for identifying ethical impacts of R&I that is inspired by a method for the generation of business models, the Business Model Canvas. This tool, the Ethics Canvas, enables researchers to engage with the ethical impacts of their R&I activities in a collaborative manner by discussing different building blocks that together constitute a comprehensive ethical interpretation of a technology. To assess the perceived usefulness of the Ethics Canvas, a classroom experiment was conducted, followed-up by a questionnaire. The results suggest that the Ethics Canvas (1) is perceived as useful for identifying relevant stakeholders and potential ethical impacts and (2) potentially triggers reconsiderations of technology designs or business models.</p>
Zenodo
2018-08-26
info:eu-repo/semantics/conferencePaper
3246446
user-eu
preprint
award_title=Constructing an Alliance for Value-driven Cybersecurity; award_number=700540; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/700540; funder_id=00k4n6c32; funder_name=European Commission;
award_title=ADAPT: Centre for Digital Content Platform Research; award_number=13/RC/2106; funder_id=0271asj38; funder_name=Science Foundation Ireland;
1579534878.870949
475251
md5:b42f42a8a2a3590224cb3635b729c32e
https://zenodo.org/records/3246447/files/preprint.pdf
public
10.5281/zenodo.3246446
isVersionOf
doi