Towards a Framework for Certification of Reliable Autonomous Systems
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Abstract (arXiv)
A computational system is called autonomous if it is able to make its own decisions, or take its own actions, without human supervision or control. The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? We here analyse what is needed in order to provide verified reliable behaviour of an autonomous system, analyse what can be done as the state-of-the-art in automated verification, and propose a roadmap towards developing regulatory guidelines, including articulating challenges to researchers, to engineers, and to regulators. Case studies in seven distinct domains illustrate the article.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 4; 2025: 1; 2026: 2.
12 papers.
- 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directionscited by 73
- 2022On Specifying for Trustworthinesscited by 8
- 2024Safe Reach Set Computation via Neural Barrier Certificatescited by 5
- 2024SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmercited by 3
- 2023AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarmscited by 2
- 2024Ensuring trustworthy and ethical behaviour in intelligent logical agentscited by 2
- 2024Ethical AI Governance: Methods for Evaluating Trustworthy AIcited by 2
- 2026ECM Contracts: Contract-Aware, Versioned, and Governable Capability Interfaces for Embodied Agentscited by 2
- 2022Consent as a Foundation for Responsible Autonomycited by 1
- 2023Assessing Trustworthiness of Autonomous Systemscited by 1
- 2025SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Drivingcited by 0
- 2026Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Mediacited by 0
- 2026ECM Contracts: Contract-Aware, Versioned, and Governable Capability Interfaces for Embodied Agents10 Apr 2026
- 2026Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Media26 Jan 2026
- 2025SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving28 Oct 2025
- 2024SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer17 Sep 2024
- 2024Ethical AI Governance: Methods for Evaluating Trustworthy AI28 Aug 2024
- 2024Safe Reach Set Computation via Neural Barrier Certificates29 Apr 2024
- 2024Ensuring trustworthy and ethical behaviour in intelligent logical agents12 Feb 2024
- 2023Assessing Trustworthiness of Autonomous Systems5 May 2023
- 2023AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms20 Feb 2023
- 2022On Specifying for Trustworthiness22 Jun 2022
- 2022Consent as a Foundation for Responsible Autonomy22 Mar 2022
- 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions21 Dec 2021