Skip to main content

Interdependent Human-Machine Teams

The Path to Autonomy

  • 1st Edition - January 1, 2025
  • 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

Interdependent Human-Machine Teams

Purchase options

Limited Offer

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Book bundle cover eBook and print

Institutional subscription on ScienceDirect

Request a sales quote

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 policy makers, and to the public. The book establishes the meaning and operation of “shared contexts” between humans and machines, policy makers, and the public. This book 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.