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Interdependent Human-Machine Teams

The Path to Autonomy

  • 1st Edition - December 10, 2024
  • Latest edition
  • Editors: William Lawless, Ranjeev Mittu, Donald Sofge, Hesham Fouad
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 2 9 2 4 6 - 0
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 2 9 2 4 7 - 7

Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy,… Read more

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Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy, trust by the public, and trust by the users and AI systems of their users, integrating concepts from various disciplines such as AI, machine learning, social sciences, quantum mechanics, and systems engineering. In this book, world-class researchers, engineers, ethicists, and social scientists discuss what machines, humans, and systems should discuss with each other, to policymakers, and to the public.

It establishes the meaning and operation of “shared contexts” between humans and machines, policy makers, and the public and explores how human-machine systems affect targeted audiences (researchers, machines, robots, users, regulators, etc.) and society, as well as future ecosystems composed of humans, machines, and systems.

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