A Practical Taxonomy of TAS-related Usecase Scenarios

Masters, Peta; Young, Victoria; Chamberlain, Alan; Weerawardhana, Sachini; McKenna, Peter E.; Lu, Yang; Dowthwaite, Liz; Luff, Paul; Moreau, Luc

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.

Citation

Masters, P., Young, V., Chamberlain, A., Weerawardhana, S., McKenna, P. E., Lu, Y., …Moreau, L. (2023). A Practical Taxonomy of TAS-related Usecase Scenarios. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597523

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
• Start Date: Jul 11, 2023
• End Date: Jul 12, 2023
• Acceptance Date: Jul 11, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: 2023-07
• Deposit Date: Jul 7, 2023
• Publicly Available Date: Jul 11, 2023
• Publisher: Association for Computing Machinery (ACM)
• Pages: 1-6
• Book Title: TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
• DOI: https://doi.org/10.1145/3597512.3597523
• Keywords: AI Trust Autonomy Usecase Robotics Design Ontology Responsibility
• Public URL: https://nottingham-repository.worktribe.com/output/22726519
• Publisher URL: https://doi.org/10.1145/3597512.3597523
• Additional Information: TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems July 2023, Article No.: 41, Pages 1–6