Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control
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Abstract (arXiv)
Designing a safe, trusted, and ethical AI may be practically impossible; however, designing AI with safe, trusted, and ethical use in mind is possible and necessary in safety and mission-critical domains like aerospace. Safe, trusted, and ethical use of AI are often used interchangeably; however, a system can be safely used but not trusted or ethical, have a trusted use that is not safe or ethical, and have an ethical use that is not safe or trusted. This manuscript serves as a primer to illuminate the nuanced differences between these concepts, with a specific focus on applications of Human-AI teaming in aerospace system control, where humans may be in, on, or out-of-the-loop of decision-making.
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8 of 117 references.
References · 8
- 2022LaMDA: Language Models for Dialog Applicationscited by 1,220
- 2023Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learningcited by 111
- 2018Deep Neural Network Compression for Aircraft Collision Avoidance Systemscited by 58
- 2021Run Time Assurance for Safety-Critical Systems: An Introduction to Safety Filtering Approaches for Complex Control Systemscited by 27
- 2018Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learningcited by 17
- 2019Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimizationcited by 17
- 2019Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learningcited by 6
- 2020Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learningcited by 4
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