Robust Intelligence And Trust In Autonomous Systems

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Robust Intelligence and Trust in Autonomous Systems

Ranjeev Mittu,Donald Sofge,Alan Wagner,W.F. Lawless
Robust Intelligence and Trust in Autonomous Systems Book PDF

Author : Ranjeev Mittu,Donald Sofge,Alan Wagner,W.F. Lawless
Publisher : Springer
Page : 270 pages
File Size : 41,6 Mb
Release : 2016-04-07
Category : Computers
ISBN : 9781489976680

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Robust Intelligence and Trust in Autonomous Systems by Ranjeev Mittu,Donald Sofge,Alan Wagner,W.F. Lawless Pdf

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.

Foundations of Trusted Autonomy

Hussein A. Abbass,Jason Scholz,Darryn J. Reid
Foundations of Trusted Autonomy Book PDF

Author : Hussein A. Abbass,Jason Scholz,Darryn J. Reid
Publisher : Springer
Page : 395 pages
File Size : 48,5 Mb
Release : 2018-01-15
Category : Technology & Engineering
ISBN : 9783319648163

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Foundations of Trusted Autonomy by Hussein A. Abbass,Jason Scholz,Darryn J. Reid Pdf

This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.

Putting AI in the Critical Loop

Prithviraj Dasgupta,James Llinas,Tony Gillespie,Scott Fouse,William Lawless,Ranjeev Mittu,Donald Sofge
Putting AI in the Critical Loop Book PDF

Author : Prithviraj Dasgupta,James Llinas,Tony Gillespie,Scott Fouse,William Lawless,Ranjeev Mittu,Donald Sofge
Publisher : Elsevier
Page : 306 pages
File Size : 54,8 Mb
Release : 2024-02-23
Category : Computers
ISBN : 9780443159879

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Putting AI in the Critical Loop by Prithviraj Dasgupta,James Llinas,Tony Gillespie,Scott Fouse,William Lawless,Ranjeev Mittu,Donald Sofge Pdf

Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a “collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and “assured performance and operation in order to realize the potential of autonomy. This book aims to take on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge the knowledge gaps, but also to advance this science to develop better solutions. Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomy Reviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the science Offers a path forward to solutions Investigates the value of trust by humans of HMTs, as well as the bidirectionality of trust, understanding how machines learn to trust their human teammates

Modelling and Simulation for Autonomous Systems

Jan Mazal,Adriano Fagiolini,Petr Vasik,Michele Turi,Agostino Bruzzone,Stefan Pickl,Vlastimil Neumann,Petr Stodola
Modelling and Simulation for Autonomous Systems Book PDF

Author : Jan Mazal,Adriano Fagiolini,Petr Vasik,Michele Turi,Agostino Bruzzone,Stefan Pickl,Vlastimil Neumann,Petr Stodola
Publisher : Springer Nature
Page : 520 pages
File Size : 41,5 Mb
Release : 2022-04-01
Category : Computers
ISBN : 9783030982607

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Modelling and Simulation for Autonomous Systems by Jan Mazal,Adriano Fagiolini,Petr Vasik,Michele Turi,Agostino Bruzzone,Stefan Pickl,Vlastimil Neumann,Petr Stodola Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2021, held as a virtual event due COVID-19, in October 2021. The 30 full papers together with 2 short papers included in the volume were carefully reviewed and selected from 50 submissions. They are organized in the following topical sections: M&S of intelligent systems, R&D and application; and AxS/AI in context of future warfare and security environment and future challenges of Advance M&S Technology.

Human Performance in Automated and Autonomous Systems

Mustapha Mouloua,Peter A. Hancock
Human Performance in Automated and Autonomous Systems Book PDF

Author : Mustapha Mouloua,Peter A. Hancock
Publisher : CRC Press
Page : 442 pages
File Size : 51,7 Mb
Release : 2019-09-19
Category : Technology & Engineering
ISBN : 9780429857386

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Human Performance in Automated and Autonomous Systems by Mustapha Mouloua,Peter A. Hancock Pdf

This book is devoted to the examination of emerging practical issues related to automated and autonomous systems. The book highlights the significance of these emergent technologies that determine the course of our daily lives. Each unique chapter highlights human factors and engineering concerns across real-world applications, including matters related to aviation and healthcare, human-robot interaction, transportation systems, cybersecurity and cyber defense. This book also depicts the boundaries that separate humans from machine as we continue to become ever more immersed in and symbiotic with these fast-emerging technologies. Automation, across many occupations, has transitioned the human to a role of monitoring machines, presenting challenges related to vigilance and workload. This book identifies the importance of an approach to automated technology that emphasizes the "human user" at the center of the design process. Features Provides perspectives on the role of the individual and teams in complex technical systems such as aviation, healthcare, and medicine Presents the development of highly autonomous systems related to human safety and performance Examines solutions to human factors challenges presented by modern threats to data privacy and cybersecurity Discusses human perceptual and cognitive capabilities underwriting to the design of automated and autonomous systems • Provides in-depth, expert reviews of context-related developments in automation and human-robot teaming Human Performance in Automated and Autonomous Systems: Emerging Issues and Practical Perspectives applies scientific theory directly to real-world systems where automation and autonomous technology is implemented.

Human Performance in Automated and Autonomous Systems, Two-Volume Set

Mustapha Mouloua,Peter A. Hancock
Human Performance in Automated and Autonomous Systems Two Volume Set Book PDF

Author : Mustapha Mouloua,Peter A. Hancock
Publisher : CRC Press
Page : 630 pages
File Size : 47,8 Mb
Release : 2019-12-17
Category : Computers
ISBN : 9780429857454

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Human Performance in Automated and Autonomous Systems, Two-Volume Set by Mustapha Mouloua,Peter A. Hancock Pdf

This two-volume set addresses a variety of human factors issues and engineering concerns across various real-world applications such as aviation and driving, cybersecurity, and healthcare systems. The contents of these books also present recent theories and methods related to human performance, workload and usability assessment in automated and autonomous systems. In this set, the authors discuss both current and developing topics of advanced automation technologies and present emerging practical challenges. Topics covered include unmanned aerial systems and self-driving cars, individual and team performance, human-robot interaction, and operator selection and training. Both practical and theoretical discussions of modern automated and autonomous systems are provided throughout each of the volumes. These books are suitable for those first approaching the issues to those well versed in these fast-moving areas, including students, teachers, researchers, engineers, and policy makers alike. Volume 1 - Human Performance in Automated and Autonomous Systems: Current Theory and Methods Volume 2 - Human Performance in Automated and Autonomous Systems: Emerging Issues and Practical Perspectives

Human-Machine Shared Contexts

William Lawless,Ranjeev Mittu,Donald Sofge
Human Machine Shared Contexts Book PDF

Author : William Lawless,Ranjeev Mittu,Donald Sofge
Publisher : Academic Press
Page : 448 pages
File Size : 51,7 Mb
Release : 2020-06-10
Category : Computers
ISBN : 9780128223796

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Human-Machine Shared Contexts by William Lawless,Ranjeev Mittu,Donald Sofge Pdf

Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction

Databases and Information Systems X

A. Lupeikiene,O. Vasilecas,G. Dzemyda
Databases and Information Systems X Book PDF

Author : A. Lupeikiene,O. Vasilecas,G. Dzemyda
Publisher : IOS Press
Page : 298 pages
File Size : 51,5 Mb
Release : 2019-01-30
Category : Computers
ISBN : 9781614999416

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Databases and Information Systems X by A. Lupeikiene,O. Vasilecas,G. Dzemyda Pdf

The importance of databases and information systems to the functioning of 21st century life is indisputable. This book presents papers from the 13th International Baltic Conference on Databases and Information Systems, held in Trakai, Lithuania, from 1- 4 July 2018. Since the first of these events in 1994, the Baltic DB&IS has proved itself to be an excellent forum for researchers, practitioners and PhD students to deliver and share their research in the field of advanced information systems, databases and related areas. For the 2018 conference, 69 submissions were received from 15 countries. Each paper was assigned for review to at least three referees from different countries. Following review, 24 regular papers were accepted for presentation at the conference, and from these presented papers the 14 best-revised papers have been selected for publication in this volume, together with a preface and three invited papers written by leading experts. The selected revised and extended papers present original research results in a number of subject areas: information systems, requirements and ontology engineering; advanced database systems; internet of things; big data analysis; cognitive computing; and applications and case studies. These results will contribute to the further development of this fast-growing field, and will be of interest to all those working with advanced information systems, databases and related areas.

A Research Agenda for Trust

Roger C. Mayer,Barbara M. Mayer
A Research Agenda for Trust Book PDF

Author : Roger C. Mayer,Barbara M. Mayer
Publisher : Edward Elgar Publishing
Page : 251 pages
File Size : 51,7 Mb
Release : 2024-01-18
Category : Business & Economics
ISBN : 9781802200942

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A Research Agenda for Trust by Roger C. Mayer,Barbara M. Mayer Pdf

This innovative Research Agenda brings together established scholars from a diverse range of disciplines including artificial intelligence, psychology, medicine and law enforcement to outline and assess current trust research, emphasizing how trust is a critical issue in the 21st century affecting countless areas of the modern world.

Artificial Intelligence for Customer Relationship Management

Boris Galitsky
Artificial Intelligence for Customer Relationship Management Book PDF

Author : Boris Galitsky
Publisher : Springer Nature
Page : 474 pages
File Size : 44,9 Mb
Release : 2020-12-23
Category : Computers
ISBN : 9783030616410

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Artificial Intelligence for Customer Relationship Management by Boris Galitsky Pdf

The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer. After we learn to detect fake content, deception and hypocrisy, we examine the domain of customer complaints. We simulate mental states, attitudes and emotions of a complainant and try to predict his behavior. Having suggested graph-based formal representations of complaint scenarios, we machine-learn them to identify the best action the customer support organization can chose to retain the complainant as a customer.

Social Robots in Social Institutions

R. Hakli,P. Mäkelä,J. Seibt
Social Robots in Social Institutions Book PDF

Author : R. Hakli,P. Mäkelä,J. Seibt
Publisher : IOS Press
Page : 800 pages
File Size : 46,8 Mb
Release : 2023-01-24
Category : Computers
ISBN : 9781643683751

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Social Robots in Social Institutions by R. Hakli,P. Mäkelä,J. Seibt Pdf

Social institutions emerge from social practices which coordinate activities by the explicit statement of rules, goals, and values. When artificial social actors are introduced into the physical and symbolic space of institutions, will this affect or transform institutional structures and practices, and how can social robotics as an interdisciplinary endeavor contribute to the ability of our institutions to perform their functions in society? This book presents the proceedings of Robophilosophy 2022, the 5th in the biennial Robophilosophy conference series, held in Helsinki, Finland, from 16 to 19 August 2022. The theme of this edition of the conference was Social Robots in Social Institutions, and it featured international multidisciplinary research from the humanities and social sciences concerning social robotics. The 63 papers, 41 workshop papers and 5 posters included in this book are divided into 4 sections: plenaries, sessions, workshops and posters, with the 41 papers in the ‘Sessions’ section grouped into 13 subdivisions including elderly care, healthcare, law, education and art, as well as ethics and religion. These papers explore the anticipated conceptual and practical changes which will come about from the introduction of social robotics into public and private institutions, such as public services, legal systems, social and healthcare services or educational institutions. Offering an exploration of the societal significance of social robots for the future of social institutions, the book will be of interest to both researchers in robotics and to those working in social institutions and enterprises.

Artificial Intelligence in HCI

Helmut Degen,Stavroula Ntoa
Artificial Intelligence in HCI Book PDF

Author : Helmut Degen,Stavroula Ntoa
Publisher : Springer Nature
Page : 566 pages
File Size : 44,5 Mb
Release : 2021-07-03
Category : Computers
ISBN : 9783030777722

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Artificial Intelligence in HCI by Helmut Degen,Stavroula Ntoa Pdf

This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence in HCI, AI-HCI 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers included in this volume were organized in topical sections as follows: Ethics, trust and explainability; human-centered AI; AI applications in HCI; and AI applications in smart environments.

Autonomy and Artificial Intelligence: A Threat or Savior?

W.F. Lawless,Ranjeev Mittu,Donald Sofge,Stephen Russell
Autonomy and Artificial Intelligence A Threat or Savior Book PDF

Author : W.F. Lawless,Ranjeev Mittu,Donald Sofge,Stephen Russell
Publisher : Springer
Page : 318 pages
File Size : 48,8 Mb
Release : 2017-08-24
Category : Computers
ISBN : 9783319597195

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Autonomy and Artificial Intelligence: A Threat or Savior? by W.F. Lawless,Ranjeev Mittu,Donald Sofge,Stephen Russell Pdf

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. The contributions, written by world-class researchers and scientists, elaborate on key research topics at the heart of effective human-machine-robot-systems integration. These topics include, for example, computational support for intelligence analyses; the challenge of verifying today’s and future autonomous systems; comparisons between today’s machines and autism; implications of human information interaction on artificial intelligence and errors; systems that reason; the autonomy of machines, robots, buildings; and hybrid teams, where hybrid reflects arbitrary combinations of humans, machines and robots. The contributors span the field of autonomous systems research, ranging from industry and academia to government. Given the broad diversity of the research in this book, the editors strove to thoroughly examine the challenges and trends of systems that implement and exhibit AI; the social implications of present and future systems made autonomous with AI; systems with AI seeking to develop trusted relationships among humans, machines, and robots; and the effective human systems integration that must result for trust in these new systems and their applications to increase and to be sustained.

Trust in Human-Robot Interaction

Chang S. Nam,Joseph B. Lyons
Trust in Human Robot Interaction Book PDF

Author : Chang S. Nam,Joseph B. Lyons
Publisher : Academic Press
Page : 614 pages
File Size : 44,5 Mb
Release : 2020-11-17
Category : Psychology
ISBN : 9780128194737

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Trust in Human-Robot Interaction by Chang S. Nam,Joseph B. Lyons Pdf

Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. Presents a repository of the open questions and challenges in trust in HRI Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science Examines human information processing as a foundation for understanding HRI Details the methods and techniques used to test and quantify trust in HRI

Developing Enterprise Chatbots

Boris Galitsky
Developing Enterprise Chatbots Book PDF

Author : Boris Galitsky
Publisher : Springer
Page : 559 pages
File Size : 51,9 Mb
Release : 2019-04-04
Category : Computers
ISBN : 9783030042998

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Developing Enterprise Chatbots by Boris Galitsky Pdf

A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees