£124.82

Academic Press - Interdependent Human-Machine Teams Book

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Description

Interdependent Human-Machine Teams: The Path to Autonomy provides a deep look into the foundations and applications of human-machine systems. Published by Academic Press, this text explores how AI, machine learning, and systems engineering work together to shape the future of autonomy. It addresses essential topics such as the legal ramifications of autonomous systems and the complex nature of trust between the public, users, and AI systems. This book brings together insights from world-class researchers, engineers, ethicists, and social scientists. By integrating perspectives from quantum mechanics and the social sciences, it examines what machines, humans, and systems should communicate with each other, policymakers, and the general public. It is a comprehensive resource for understanding the metrics and multi-disciplinary concepts required to navigate the evolving landscape of human-machine collaboration.

Key Features

Explores the foundations and metrics of human-machine systems through a multi-disciplinary lens.

Analyzes the legal ramifications and ethical considerations regarding autonomy in modern technology.

Examines trust levels between the public, individual users, and AI systems.

Integrates concepts from AI, machine learning, social sciences, and quantum mechanics.

Provides perspectives from expert researchers, engineers, and ethicists on system communication.

Addresses the relationship between machines, humans, policymakers, and the general public.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 December 2024
Listed Since
22 May 2024

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