An increasing reliance on the Internet and mobile communication has deprived us of our usual means of assessing another party’s trustworthiness. This is increasingly forcing us to rely on control. Yet the notion of trust and trustworthiness is essential to the continued development of a technology-enabled society. Trust, Complexity and Control offers readers a single, consistent explanation of how the sociological concept of ‘trust’ can be applied to a broad spectrum of technology-related areas; convergent communication, automated agents, digital security, semantic web, artificial intelligence, e-commerce, e-government, privacy etc. It presents a model of confidence in which trust and control are driven and limited by complexity in one explanatory framework and demonstrates how that framework can be applied to different research and application areas. Starting with the individual’s assessment of trust, the book shows the reader how application of the framework can clarify misunderstandings and offer solutions to complex problems. The uniqueness of Trust, Complexity and Control is its interdisciplinary treatment of a variety of diverse areas using a single framework. Sections featured include: Trust and distrust in the digital world. The impact of convergent communication and networks on trust. Trust, economy and commerce. Trust-enhancing technologies. Trust, Complexity and Control is an invaluable source of reference for both researchers and practitioners within the Trust community. It will also be of benefit to students and lecturers in the fields of information technology, social sciences and computer engineering.

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

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.

This book constitutes the refereed proceedings of the 13th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2019, held in Copenhagen, Denmark, in July 2019. The 7 revised full papers, 3 short papers, and 6 work-in-progress papers presented were carefully reviewed and selected from 32 submissions. The papers cover a broad range of topics related to trust, security and privacy and focus on trust in information technology and identity management, socio-technical and sociological trust, and emerging technology for trust.

Gathering some of the latest research in the field, the original essays collected here explain how non-linear dynamics, self-organisation of many agents and the co-evolution of processes combine to generate the evolution of governance processes, especially for public urban and metropolitan investments.

This book offers a comprehensive treatment of the economic and technical foundations for new organizational forms, relations and processes. It provides a wide range of underlying concepts and frameworks that help the reader understand the major forces driving organizational and marketplace change, rather than presenting these changes as simple outcomes of technological or management fads. Contains case studies are included.

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as knowledge discovery, spatial indexing, and data mining, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

This book provides an introduction, discussion, and formal-based modelling of trust theory and its applications in agent-based systems This book gives an accessible explanation of the importance of trust in human interaction and, in general, in autonomous cognitive agents including autonomous technologies. The authors explain the concepts of trust, and describe a principled, general theory of trust grounded on cognitive, cultural, institutional, technical, and normative solutions. This provides a strong base for the author’s discussion of role of trust in agent-based systems supporting human-computer interaction and distributed and virtual organizations or markets (multi-agent systems). Key Features: Provides an accessible introduction to trust, and its importance and applications in agent-based systems Proposes a principled, general theory of trust grounding on cognitive, cultural, institutional, technical, and normative solutions. Offers a clear, intuitive approach, and systematic integration of relevant issues Explains the dynamics of trust, and the relationship between trust and security Offers operational definitions and models directly applicable both in technical and experimental domains Includes a critical examination of trust models in economics, philosophy, psychology, sociology, and AI This book will be a valuable reference for researchers and advanced students focused on information and communication technologies (computer science, artificial intelligence, organizational sciences, and knowledge management etc.), as well as Web-site and robotics designers, and for scholars working on human, social, and cultural aspects of technology. Professionals of ecommerce systems and peer-to-peer systems will also find this text of interest.

The effective functioning of a democratic society—including social, business, and political interactions—largely depends on trust. Yet trust remains a fragile and elusive resource in many of the organizations that make up society's building blocks. In their timely volume, Trust and Distrust in Organizations, editors Roderick M. Kramer and Karen S. Cook have compiled the most important research on trust in organizations, illuminating the complex nature of how trust develops, functions, and often is thwarted in organizational settings. With contributions from social psychologists, sociologists, political scientists, economists, and organizational theorists, the volume examines trust and distrust within a variety of settings—from employer-employee and doctor-patient relationships, to geographically dispersed work teams and virtual teams on the internet. Trust and Distrust in Organizations opens with an in-depth examination of hierarchical relationships to determine how trust is established and maintained between people with unequal power. Kurt Dirks and Daniel Skarlicki find that trust between leaders and their followers is established when people perceive a shared background or identity and interact well with their leader. After trust is established, people are willing to assume greater risks and to work harder. In part II, the contributors focus on trust between people in teams and networks. Roxanne Zolin and Pamela Hinds discover that trust is more easily established in geographically dispersed teams when they are able to meet face-to-face initially. Trust and Distrust in Organizations moves on to an examination of how people create and foster trust and of the effects of power and betrayal on trust. Kimberly Elsbach reports that managers achieve trust by demonstrating concern, maintaining open communication, and behaving consistently. The final chapter by Roderick Kramer and Dana Gavrieli includes recently declassified data from secret conversations between President Lyndon Johnson and his advisors that provide a rich window into a leader's struggles with problems of trust and distrust in his administration. Broad in scope, Trust and Distrust in Organizations provides a captivating and insightful look at trust, power, and betrayal, and is essential reading for anyone wishing to understand the underpinnings of trust within a relationship or an organization. A Volume in the Russell Sage Foundation Series on Trust

New essays by leading figures from the judiciary, practicing lawyers and academics illuminating the worlds of trusts and wealth management.