TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals

Schneiders, Eike; Chamberlain, Alan; Fischer, Joel E.; Benford, Steve; Castle-Green, Simon; Ngo, Victor; Kucukyilmaz, Ayse; Barnard, Pepita; Row Farr, Ju; Adams, Matt; Tandavanitj, Nick; Devlin, Kate; Mancini, Clara; Mills, Daniel

Abstract

Cat Royale is an artist-led exploration of trustworthy autonomous systems (TAS) created by the TAS Hub's creative ambassadors Blast Theory. A small community of cats inhabits a purpose built 'cat utopia' at the centre of which a robot arm tries to enrich their lives by playing with them. We initially present the design of Cat Royale as an autonomous system, but then reflect on how diverse human (and animal) stakeholders were required to enable its development and live operation when adopting an approach shaped by responsible research and innovation (RRI). In so doing, we unpack how Cat Royale speaks to three core issues of autonomy, trustworthiness and responsibility relevant to the TAS community more broadly.

Citation

Schneiders, E., Chamberlain, A., Fischer, J. E., Benford, S., Castle-Green, S., Ngo, V., …Mills, D. (2023). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3597517

• Presentation Conference Type: Edited Proceedings
• Conference Name: First International Symposium on Trustworthy Autonomous Systems (TAS 23)
• Start Date: Jul 11, 2023
• End Date: Jul 12, 2023
• Acceptance Date: May 23, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: Jul 11, 2023
• Deposit Date: Jul 15, 2023
• Publicly Available Date: Jul 21, 2023
• Publisher: Association for Computing Machinery (ACM)
• Book Title: TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK
• ISBN: 9798400707346
• DOI: https://doi.org/10.1145/3597512.3597517
• Keywords: Art Robotics Robots Trust AI Design Creative ACI
• Public URL: https://nottingham-repository.worktribe.com/output/22726503
• Publisher URL: https://dl.acm.org/doi/10.1145/3597512.3597517