Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control
It addresses safety and ethical issues for aerospace applications, but is incremental as it focuses on conceptual clarification rather than new solutions.
The paper tackles the problem of distinguishing between safety, trust, and ethics in AI for aerospace control, providing a primer to clarify these concepts in human-AI teaming contexts.
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.