On Specifying for Trustworthiness
Not on the map. Why?
Abstract (arXiv)
As autonomous systems (AS) increasingly become part of our daily lives, ensuring their trustworthiness is crucial. In order to demonstrate the trustworthiness of an AS, we first need to specify what is required for an AS to be considered trustworthy. This roadmap paper identifies key challenges for specifying for trustworthiness in AS, as identified during the "Specifying for Trustworthiness" workshop held as part of the UK Research and Innovation (UKRI) Trustworthy Autonomous Systems (TAS) programme. We look across a range of AS domains with consideration of the resilience, trust, functionality, verifiability, security, and governance and regulation of AS and identify some of the key specification challenges in these domains. We then highlight the intellectual challenges that are involved with specifying for trustworthiness in AS that cut across domains and are exacerbated by the inherent uncertainty involved with the environments in which AS need to operate.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 54 references that are in the map. First posted on arXiv 22 Jun 2022.
Builds on
5 of 54 references.
References · 5
- 2020Underspecification Presents Challenges for Credibility in Modern Machine Learningcited by 488
- 2021The Role of Explainability in Assuring Safety of Machine Learning in Healthcarecited by 26
- 2020Towards a Framework for Certification of Reliable Autonomous Systemscited by 12
- 2020Formalizing and Guaranteeing* Human-Robot Interactioncited by 6
- 2022Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum designcited by 2
Built on by
Citing papers per year: 2023: 4; 2024: 2; 2025: 2.
8 papers.
- 2024Explainable Attribute-Based Speaker Verificationcited by 11
- 2023AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarmscited by 2
- 2023Assessing Trustworthiness of Autonomous Systemscited by 1
- 2024Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validationcited by 1
- 2023A Trustworthiness Score to Evaluate DNN Predictionscited by 0
- 2023Soft Gripping: Specifying for Trustworthinesscited by 0
- 2025RobEthiChor: Automated Context-aware Ethics-based Negotiation for Autonomous Robotscited by 0
- 2025Towards Continuous Assurance with Formal Verification and Assurance Casescited by 0
- 2025Towards Continuous Assurance with Formal Verification and Assurance Cases17 Nov 2025
- 2025RobEthiChor: Automated Context-aware Ethics-based Negotiation for Autonomous Robots30 Jul 2025
- 2024Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation22 Jul 2024
- 2024Explainable Attribute-Based Speaker Verification30 May 2024
- 2023Soft Gripping: Specifying for Trustworthiness3 Jul 2023
- 2023Assessing Trustworthiness of Autonomous Systems5 May 2023
- 2023AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms20 Feb 2023
- 2023A Trustworthiness Score to Evaluate DNN Predictions21 Jan 2023