Chen, J. orcid.org/0000-0002-1970-6762, Nichele, E., Ellerby, Z. et al. (1 more author) (2022) Responsible research and innovation in practice: driving both the ‘how’ and the ‘what’ to research. Journal of Responsible Technology, 11. 100042. ISSN 2666-6596
Abstract
There have been ongoing discussions in research communities, including the field of trustworthy autonomous systems (TAS), on how researchers may meaningfully engage with responsible research and innovation (RRI). By critically reflecting on the RRI aspects of an ongoing research project focussing on the efficient capture of richer quantitative human response data (e.g., from consumer surveys), this paper offers a case study on how research development can be ethically driven. The role of RRI in the project is unpicked against the broader considerations of its possible interactions with researchers in a typology we developed: as a research safeguard, research subject, and research driver. Going beyond the more common practice of using RRI simply to safeguard how research should be conducted, it is demonstrated that it can also serve as a positive driving force to explore what should be researched. Experiences and challenges are elaborated within the main stages of research development, potentially applicable to a wider range of future projects in the field.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. Published by Elsevier Ltd on behalf of ORBIT. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | responsible research and innovation; trustworthy autonomous systems; interval-valued data capture; researcher-RRI interaction |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Law (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Aug 2022 13:19 |
Last Modified: | 17 Aug 2022 15:06 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.jrt.2022.100042 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189690 |