Interdependent Human-Machine Teams
The Path to Autonomy
Ranjeev Mittu editor Donald Sofge editor William Lawless editor Hesham Fouad editor
Format:Paperback
Publisher:Elsevier Science Publishing Co Inc
Published:10th Dec '24
£142.00
Supplier delay - available to order, but may not be available until after 1st January 2025.
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.
ISBN: 9780443292460
Dimensions: unknown
Weight: 450g
448 pages