An Ethical Black Box for Social Robots: a draft Open Standard
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Abstract (arXiv)
This paper introduces a draft open standard for the robot equivalent of an aircraft flight data recorder, which we call an ethical black box. This is a device, or software module, capable of securely recording operational data (sensor, actuator and control decisions) for a social robot, in order to support the investigation of accidents or near-miss incidents. The open standard, presented as an annex to this paper, is offered as a first draft for discussion within the robot ethics community. Our intention is to publish further drafts following feedback, in the hope that the standard will become a useful reference for social robot designers, operators and robot accident/incident investigators.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 May 2022.
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Citing papers per year: 2023: 1; 2024: 3; 2025: 1.
5 papers.
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairnesscited by 3
- 2024Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Modelscited by 2
- 2023On the relationship between Benchmarking, Standards and Certification in Robotics and AIcited by 1
- 2024COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertaintycited by 0
- 2025Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profilescited by 0
- 2025Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles18 Mar 2025
- 2024COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty21 Mar 2024
- 2024Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models14 Mar 2024
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness21 Feb 2024
- 2023On the relationship between Benchmarking, Standards and Certification in Robotics and AI21 Sep 2023