Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control (Preprint)

Abstract

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. What safety, trust, and ethics mean in this context is explored with a focus on Human AI teams in control of aerospace systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 29, 2023
Accession Number
AD1204700

Entities

People

  • Bernard Li
  • Kerianne L. Hobbs

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Weapons
  • Cognitive Systems Engineering
  • Collision Avoidance Systems
  • Computers
  • Control Systems
  • Drone Targeting
  • Fixed Wing Aircraft
  • Information Science
  • Information Systems
  • Machine Learning
  • Military Research
  • Neural Networks
  • Psychology
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Fields of Study

  • Medicine

Readers

  • Cybersecurity.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space