A Practical Taxonomy of TAS-related Usecase Scenarios

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationTAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400707346
Publication statusPublished - 11 Jul 2023
Event1st International Symposium on Trustworthy Autonomous Systems 2023 - Edinburgh, United Kingdom
Duration: 11 Jul 202312 Jul 2023


Conference1st International Symposium on Trustworthy Autonomous Systems 2023
Abbreviated titleTAS 2023
Country/TerritoryUnited Kingdom


  • autonomous systems
  • taxonomy
  • trust

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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