Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams

Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams addresses the challenges of bidirectional trust and performance of autonomous systems, highlighting collective intelligence, bidirectional trust, and continual assurance as key themes for developing better solutions.

Format: Paperback / softback
Length: 420 pages
Publication date: 01 January 2024
Publisher: Elsevier Science Publishing Co Inc

Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams is a comprehensive book that delves into the core challenges of bidirectional trust and the performance of autonomous systems. It offers a comprehensive review of the latest literature, the science of autonomy, and provides a clear roadmap for achieving the autonomy of human-machine teams and systems.

Collective intelligence, bidirectional trust, and continual assurance are the central themes that thread throughout this book. These themes are complex and intriguing, offering a foundation for the audience to bridge knowledge gaps and advance the science of autonomy. By leveraging the unique characteristics and features of humans and machines, we can create a "collective intelligence" that leverages their strengths and overcomes their weaknesses.

Trust is a crucial aspect of human-machine collaboration, as it is bidirectional and two-sided. Humans need to trust AI technology, while future AI technology may also need to trust humans. This reciprocal trust is essential for building robust and reliable systems that can achieve shared goals.

The book explores various aspects of trust, including the role of human-machine interfaces, the development of trust-aware algorithms, and the importance of ethical considerations in AI development. It also discusses the challenges of managing autonomous systems, such as ensuring their safety, reliability, and accountability.

In addition to trust, the book also explores the science of autonomy, including machine learning, natural language processing, and decision-making algorithms. It discusses the latest advancements in these fields and their potential applications in various industries, such as healthcare, transportation, and manufacturing.

The book provides a clear path for achieving the autonomy of human-machine teams and systems. It outlines strategies for developing trust-aware algorithms, designing human-machine interfaces that promote collaboration, and implementing ethical guidelines for AI development. It also emphasizes the importance of continuous learning and adaptation, as AI technology continues to evolve and transform the way we work and live.

Overall, Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams is a valuable resource for researchers, practitioners, and policymakers interested in advancing the autonomy of human-machine teams and systems. It offers a comprehensive and interdisciplinary perspective on the challenges and opportunities associated with AI integration, and provides a roadmap for building trust, achieving performance, and realizing the full potential of human-machine collaboration.

Weight: 450g
Dimension: 234 x 191 (mm)
ISBN-13: 9780443159886