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Foundations of Trusted Autonomy

Foundations of Trusted Autonomy PDF Author: Hussein A. Abbass
Publisher: Springer
ISBN: 3319648160
Category : Technology & Engineering
Languages : en
Pages : 395

Book Description
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.

Foundations of Trusted Autonomy

Foundations of Trusted Autonomy PDF Author: Hussein A. Abbass
Publisher: Springer
ISBN: 3319648160
Category : Technology & Engineering
Languages : en
Pages : 395

Book Description
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.

Foundations of Trusted Autonomy

Foundations of Trusted Autonomy PDF Author: Hussein a Abbass
Publisher:
ISBN: 9781013269448
Category : Technology & Engineering
Languages : en
Pages : 398

Book Description
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 cybersecurity, defence and space. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Trust in Human-Robot Interaction

Trust in Human-Robot Interaction PDF Author: Chang S. Nam
Publisher: Academic Press
ISBN: 0128194731
Category : Psychology
Languages : en
Pages : 614

Book Description
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

Modelling and Simulation for Autonomous Systems

Modelling and Simulation for Autonomous Systems PDF Author: Jan Mazal
Publisher: Springer Nature
ISBN: 3030982602
Category : Computers
Languages : en
Pages : 520

Book Description
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.

Autonomy and Trust in Bioethics

Autonomy and Trust in Bioethics PDF Author: Onora O'Neill
Publisher: Cambridge University Press
ISBN: 9780521894531
Category : Medical
Languages : en
Pages : 232

Book Description
Argues against the conceptions of individual autonomy which are widely relied on in bioethics.

Autonomous Vehicles, Volume 1

Autonomous Vehicles, Volume 1 PDF Author: Romil Rawat
Publisher: John Wiley & Sons
ISBN: 1119871964
Category : Technology & Engineering
Languages : en
Pages : 324

Book Description
AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Universal Artificial Intelligence

Universal Artificial Intelligence PDF Author: Marcus Hutter
Publisher: Springer Science & Business Media
ISBN: 3540268774
Category : Computers
Languages : en
Pages : 294

Book Description
Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Artificial Intelligence in Industry 4.0

Artificial Intelligence in Industry 4.0 PDF Author: Alexiei Dingli
Publisher: Springer Nature
ISBN: 3030610454
Category : Technology & Engineering
Languages : en
Pages : 248

Book Description
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

Trust, Privacy and Security in Digital Business

Trust, Privacy and Security in Digital Business PDF Author: Stefanos Gritzalis
Publisher: Springer Nature
ISBN: 3030589862
Category : Computers
Languages : en
Pages : 233

Book Description
This book constitutes the refereed proceedings of the 17th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2020, held in Bratislava, Slovakia, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 11 full and 4 short papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in the following topical sections: blockchain, cloud security/hardware; economics/privacy; human aspects; privacy; privacy and machine learning; trust.

Lethal Autonomous Weapons

Lethal Autonomous Weapons PDF Author: Jai Galliott
Publisher: Oxford University Press, USA
ISBN: 0197546048
Category : Law
Languages : en
Pages : 321

Book Description
"Because of the increasing use of Unmanned Aerial Vehicles (UAVs, also commonly known as drones) in various military and para-military (i.e., CIA) settings, there has been increasing debate in the international community as to whether it is morally and ethically permissible to allow robots (flying or otherwise) the ability to decide when and where to take human life. In addition, there has been intense debate as to the legal aspects, particularly from a humanitarian law framework. In response to this growing international debate, the United States government released the Department of Defense (DoD) 3000.09 Directive (2011), which sets a policy for if and when autonomous weapons would be used in US military and para-military engagements. This US policy asserts that only "human-supervised autonomous weapon systems may be used to select and engage targets, with the exception of selecting humans as targets, for local defense ...". This statement implies that outside of defensive applications, autonomous weapons will not be allowed to independently select and then fire upon targets without explicit approval from a human supervising the autonomous weapon system. Such a control architecture is known as human supervisory control, where a human remotely supervises an automated system (Sheridan 1992). The defense caveat in this policy is needed because the United States currently uses highly automated systems for defensive purposes, e.g., Counter Rocket, Artillery, and Mortar (C-RAM) systems and Patriot anti-missile missiles. Due to the time-critical nature of such environments (e.g., soldiers sleeping in barracks within easy reach of insurgent shoulder-launched missiles), these automated defensive systems cannot rely upon a human supervisor for permission because of the short engagement times and the inherent human neuromuscular lag which means that even if a person is paying attention, there is approximately a half-second delay in hitting a firing button, which can mean the difference for life and death for the soldiers in the barracks. So as of now, no US UAV (or any robot) will be able to launch any kind of weapon in an offensive environment without human direction and approval. However, the 3000.09 Directive does contain a clause that allows for this possibility in the future. This caveat states that the development of a weapon system that independently decides to launch a weapon is possible but first must be approved by the Under Secretary of Defense for Policy (USD(P)); the Under Secretary of Defense for Acquisition, Technology, and Logistics (USD(AT&L)); and the Chairman of the Joint Chiefs of Staff. Not all stakeholders are happy with this policy that leaves the door open for what used to be considered science fiction. Many opponents of such uses of technologies call for either an outright ban on autonomous weaponized systems, or in some cases, autonomous systems in general (Human Rights Watch 2013, Future of Life Institute 2015, Chairperson of the Informal Meeting of Experts 2016). Such groups take the position that weapons systems should always be under "meaningful human control," but do not give a precise definition of what this means. One issue in this debate that often is overlooked is that autonomy is not a discrete state, rather it is a continuum, and various weapons with different levels of autonomy have been in the US inventory for some time. Because of these ambiguities, it is often hard to draw the line between automated and autonomous systems. Present-day UAVs use the very same guidance, navigation and control technology flown on commercial aircraft. Tomahawk missiles, which have been in the US inventory for more than 30 years, are highly automated weapons with accuracies of less than a meter. These offensive missiles can navigate by themselves with no GPS, thus exhibiting some autonomy by today's definitions. Global Hawk UAVs can find their way home and land on their own without any human intervention in the case of a communication failure. The growth of the civilian UAV market is also a critical consideration in the debate as to whether these technologies should be banned outright. There is a $144.38B industry emerging for the commercial use of drones in agricultural settings, cargo delivery, first response, commercial photography, and the entertainment industry (Adroit Market Research 2019) More than $100 billion has been spent on driverless car development (Eisenstein 2018) in the past 10 years and the autonomy used in driverless cars mirrors that inside autonomous weapons. So, it is an important distinction that UAVs are simply the platform for weapon delivery (autonomous or conventional), and that autonomous systems have many peaceful and commercial uses independent of military applications"--