Robust Intelligence and Trust in Autonomous Systems
“Robust Intelligence and Trust in Autonomous Systems” by Ranjeev Mittu, published by Springer US on April 14, 2018, is a softcover reprint of the original first edition from 2016, comprising 270 pages. This volume delves into the intersection of robust intelligence and trust within autonomous systems, particularly focusing on the integration of humans, machines, and robots. It aims to enhance understanding of the relationships between artificial intelligence and robust intelligence, promoting trust between autonomous systems and their human users through theoretical and practical explorations.
Readers will find a comprehensive examination of the current state of robust intelligence and trust, alongside key research areas that are essential for effective human-systems integration. The book discusses topics such as workload management, human-computer interfaces, and advanced analytics, providing insights into the challenges and trends in developing trusted relationships with autonomous systems. Written by leading researchers in the field, this work presents a unified approach to understanding the implications of robust intelligence in fostering trust and effective collaboration between humans and autonomous systems.
Official synopsis Publisher
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships between artificial intelligence (AI) and RI in a way that promotes trust between autonomous systems and human users, this book explores the underlying theory, mathematics, computational models, and field applications. It uniquely unifies the fields of RI and trust and frames it in a broader context, namely the effective integration of human-autonomous systems.
A description of the current state of the art in RI and trust introduces the research work in this area. With this foundation, the chapters further elaborate on key research areas and gaps that are at the heart of effective human-systems integration, including workload management, human computer interfaces, team integration and performance, advanced analytics, behavior modeling, training, and, lastly, test and evaluation.
Written by international leading researchers from across the field of autonomous systems research, Robust Intelligence and Trust in Autonomous Systems dedicates itself to thoroughly examining the challenges and trends of systems that exhibit RI, the fundamental implications of RI in developing trusted relationships with present and future autonomous systems, and the effective human systems integration that must result for trust to be sustained.
Contributing authors: David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger.
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