Abstract
This paper proposes a taxonomy of experimental usecase scenarios to facilitate research into trustworthy autonomous systems (TAS). Unable to identify an open-access repository of usecases to support our research, the project team embarked on development of an online library where fellow researchers would be able to find, share and recommend usecases to other practitioners in the field. To organise the library’s content, we needed a taxonomy and, informed by a commitment to responsible research and innovation (RRI), we prioritised stakeholder involvement to shape its development. Conflict arose, however, between the project team’s objective—a rigorous taxonomy focused on surfacing genuine “benchmarks” that can be used to test a multiplicity of variables in a range of domains under differing experimental conditions—and stakeholder expectation that the library would provide details of particular studies and results. How then can we reconcile project requirements with stakeholder preferences? A practical solution has to be found.
| Original language | English |
|---|---|
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 11 Jul 2023 |
| Event | First International Symposium on Trustworthy Autonomous Systems: TAS'23 - Edinburgh, United Kingdom Duration: 10 Jul 2023 → 13 Jul 2023 https://tas.ac.uk/News/call-for-participation-the-first-international-symposium-on-trustworthy-autonomous-systems-2023-tas-23/ |
Conference
| Conference | First International Symposium on Trustworthy Autonomous Systems |
|---|---|
| Country/Territory | United Kingdom |
| Period | 10/07/2023 → 13/07/2023 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 16 Peace, Justice and Strong Institutions
Keywords
- taxonomy
- trust
- autonomous systems
Fingerprint
Dive into the research topics of 'A Practical Taxonomy of TAS-related Usecase Scenarios'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver