This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots. To help readers better understand the relationships between AI, autonomy, humans and machines that will help society reduce human errors in the use of advanced technologies (e.g., airplanes, trains, cars), this edited volume presents a wide selection of the underlying theories, computational models, experimental methods, and field applications. While other literature deals with these topics individually, this book unifies the fields of autonomy and AI, framing them in the broader context of effective integration for human-autonomous machine and robotic systems.

Preface.- Introduction.- Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability.- Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network .- Human Information Interaction, Artificial Intelligence, and Errors.- Verification Challenges for Autonomous Systems.- Conceptualizing Over trust in Robots: Why Do People Trust a Robot That Previously Failed?.- Research Considerations and Tools for Evaluating Human-Automation Interaction with Future Unmanned Systems.- Robot autonomy: some technical issues.- How Children with Autism and Machines Learn to Interact.- Semantic Vector Spaces for Broadening Consideration of Consequences.- On the Road to Autonomy: Evaluating and Optimizing Hybrid Team Dynamics.- Cyber-security and Optimization in Smart "Autonomous" Buildings.- Evaluations: Autonomy and Artificial Intelligence: A threat or savior?