Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE)
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Abstract (arXiv)
Autonomous systems (AS) are systems that have the capability to take decisions free from direct human control. AS are increasingly being considered for adoption for applications where their behaviour may cause harm, such as when used for autonomous driving, medical applications or in domestic environments. For such applications, being able to ensure and demonstrate (assure) the safety of the operation of the AS is crucial for their adoption. This can be particularly challenging where AS operate in complex and changing real-world environments. Establishing justified confidence in the safety of AS requires the creation of a compelling safety case. This document introduces a methodology for the Safety Assurance of Autonomous Systems in Complex Environments (SACE). SACE comprises a set of safety case patterns and a process for (1) systematically integrating safety assurance into the development of the AS and (2) for generating the evidence base for explicitly justifying the acceptable safety of the AS.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2022.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 3; 2026: 1.
7 papers.
- 2024SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenancecited by 4
- 2025ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systemscited by 4
- 2024Safety Analysis of Autonomous Railway Systems: An Introduction to the SACRED Methodologycited by 3
- 2025MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluationcited by 3
- 2025Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systemscited by 2
- 2023Assessing Trustworthiness of Autonomous Systemscited by 1
- 2026AI Assurance in UK Defence: Challenges in Operationalising JSP 936cited by 0
- 2026AI Assurance in UK Defence: Challenges in Operationalising JSP 9368 Jun 2026
- 2025Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems24 Oct 2025
- 2025MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation26 Aug 2025
- 2025ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems14 Jan 2025
- 2024SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance6 Oct 2024
- 2024Safety Analysis of Autonomous Railway Systems: An Introduction to the SACRED Methodology18 Mar 2024
- 2023Assessing Trustworthiness of Autonomous Systems5 May 2023