Putting Ai In The Critical Loop

Author : Prithviraj Dasgupta,James Llinas,Tony Gillespie,Scott Fouse,William Lawless,Ranjeev Mittu,Donald Sofge
Publisher : Elsevier
Page : 306 pages
File Size : 42,9 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

Author : William Frere Lawless,Donald Sofge,Daniel M. Lofaro
Publisher : Frontiers Media SA
Page : 220 pages
File Size : 48,9 Mb
Release : 2023-03-30
Category : Science
ISBN : 9782832519301

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Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) by William Frere Lawless,Donald Sofge,Daniel M. Lofaro Pdf

Author : Jacob Ward
Publisher : Hachette Books
Page : 292 pages
File Size : 44,7 Mb
Release : 2022-01-25
Category : Computers
ISBN : 9780316487221

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The Loop by Jacob Ward Pdf

This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author Roger McNamee). Artificial intelligence is going to change the world as we know it. But the real danger isn't some robot that's going to enslave us: It's our own brain. Our brains are constantly making decisions using shortcuts, biases, and hidden processes—and we're using those same techniques to create technology that makes choices for us. In The Loop, award-winning science journalist Jacob Ward reveals how we are poised to build all of our worst instincts into our AIs, creating a narrow loop where each generation has fewer, predetermined, and even dangerous choices. Taking us on a world tour of the ongoing, real-world experiment of artificial intelligence, The Loop illuminates the dangers of writing dangerous human habits into our machines. From a biometric surveillance state in India that tracks the movements of over a billion people, to a social media control system in China that punishes deviant friendships, to the risky multiple-choice simplicity of automated military action, Ward travels the world speaking with top experts confronting the perils of their research. Each stop reveals how the most obvious patterns in our behavior—patterns an algorithm will use to make decisions about what's best for us—are not the ones we want to perpetuate. Just as politics, marketing, and finance have all exploited the weaknesses of our human programming, artificial intelligence is poised to use the patterns of our lives to manipulate us. The Loop is call to look at ourselves more clearly—our most creative ideas, our most destructive impulses, the ways we help and hurt one another-so we can put only the best parts of ourselves into the thinking machines we create.

Author : Simon Lindgren
Publisher : Edward Elgar Publishing
Page : 941 pages
File Size : 40,6 Mb
Release : 2023-11-03
Category : Computers
ISBN : 9781803928562

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Handbook of Critical Studies of Artificial Intelligence by Simon Lindgren Pdf

As artificial intelligence (AI) continues to seep into more areas of society and culture, critical social perspectives on its technologies are more urgent than ever before. Bringing together state-of-the-art research from experienced scholars across disciplines, this Handbook provides a comprehensive overview of the current state of critical AI studies.

Author : Sam J Tangredi,George Galdorisi
Publisher : Naval Institute Press
Page : 343 pages
File Size : 45,6 Mb
Release : 2021-03-15
Category : Political Science
ISBN : 9781682476345

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AI at War by Sam J Tangredi,George Galdorisi Pdf

Artificial intelligence (AI) may be the most beneficial technological development of the twenty-first century.Media hype and raised expectations for results, however, have clouded understanding of the true nature of AI—including its limitations and potential. AI at War provides a balanced and practical understanding of applying AI to national security and warfighting professionals as well as a wide array of other readers. Although the themes and findings of the chapters are relevant across the U.S. Department of Defense, to include all Services, the Joint Staff and defense agencies as well as allied and partner ministries of defense, this book is a case study of warfighting functions in the Naval Services—the U.S. Navy and U.S. Marine Corps. Sam J. Tangredi and George Galdorisi bring together over thirty experts, ranging from former DOD officials and retired flag officers to scientists and active duty junior officers. These contributors present views on a vast spectrum of subjects pertaining to the implementation of AI in modern warfare, including strategy, policy, doctrine, weapons, and ethical concerns.

Author : Francis X. Govers
Publisher : Packt Publishing Ltd
Page : 336 pages
File Size : 48,6 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9781788835701

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Artificial Intelligence for Robotics by Francis X. Govers Pdf

Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.

Author : Sarath Sarath Sreedharan,Anagha Anagha Kulkarni
Publisher : Springer Nature
Page : 164 pages
File Size : 41,8 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031037672

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Explainable Human-AI Interaction by Sarath Sarath Sreedharan,Anagha Anagha Kulkarni Pdf

From its inception, artificial intelligence (AI) has had a rather ambivalent relationship with humans—swinging between their augmentation and replacement. Now, as AI technologies enter our everyday lives at an ever-increasing pace, there is a greater need for AI systems to work synergistically with humans. One critical requirement for such synergistic human‒AI interaction is that the AI systems' behavior be explainable to the humans in the loop. To do this effectively, AI agents need to go beyond planning with their own models of the world, and take into account the mental model of the human in the loop. At a minimum, AI agents need approximations of the human's task and goal models, as well as the human's model of the AI agent's task and goal models. The former will guide the agent to anticipate and manage the needs, desires and attention of the humans in the loop, and the latter allow it to act in ways that are interpretable to humans (by conforming to their mental models of it), and be ready to provide customized explanations when needed. The authors draw from several years of research in their lab to discuss how an AI agent can use these mental models to either conform to human expectations or change those expectations through explanatory communication. While the focus of the book is on cooperative scenarios, it also covers how the same mental models can be used for obfuscation and deception. The book also describes several real-world application systems for collaborative decision-making that are based on the framework and techniques developed here. Although primarily driven by the authors' own research in these areas, every chapter will provide ample connections to relevant research from the wider literature. The technical topics covered in the book are self-contained and are accessible to readers with a basic background in AI.

Author : Francis X. Govers III
Publisher : Packt Publishing Ltd
Page : 344 pages
File Size : 48,8 Mb
Release : 2024-03-29
Category : Technology & Engineering
ISBN : 9781805124399

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Artificial Intelligence for Robotics by Francis X. Govers III Pdf

Learn how to apply artificial intelligence, engineering, and machine learning to create smart robots capable of interacting with their environment, engaging with users, making decisions, and navigating autonomously Key Features Gain a holistic understanding of robot design, systems engineering, and task analysis Implement AI/ML techniques to detect and manipulate objects and navigate robots using landmarks Integrate voice and natural language interactions to create a digital assistant and artificial personality for your robot Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this book equips you with the tools and practical use cases to create truly smart robots. Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You’ll explore object recognition and genetic algorithms to teach your robot to identify and pick up objects, and you'll also harness the power of natural language processing to give your robot a voice. To enhance your robot further, you’ll master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience. By the end of this book, you’ll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.What you will learn Get started with robotics and AI essentials Understand path planning, decision trees, and search algorithms to enhance your robot Explore object recognition using neural networks and supervised learning techniques Employ genetic algorithms to enable your robot arm to manipulate objects Teach your robot to listen using Natural Language Processing through an expert system Program your robot in how to avoid obstacles and retrieve objects with machine learning and computer vision Apply simulation techniques to give your robot an artificial personality Who this book is for This book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful. Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.

Author : Gary Johnson,Richard Jennings
Publisher : McGraw Hill Professional
Page : 626 pages
File Size : 44,6 Mb
Release : 2006-07-17
Category : Technology & Engineering
ISBN : 9780071451468

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LabVIEW Graphical Programming by Gary Johnson,Richard Jennings Pdf

LabVIEW is an award-winning programming language that allows engineers to create "virtual" instruments on their desktop. This new edition details the powerful features of LabVIEW 8.0. Written in a highly accessible and readable style, LabVIEW Graphical Programming illustrates basic LabVIEW programming techniques, building up to advanced programming concepts. New to this edition is study material for the CLAD and CLD exams.

Author : Jaemin Lee
Publisher : Springer Nature
Page : 264 pages
File Size : 40,5 Mb
Release : 2022-05-10
Category : Law
ISBN : 9789811914966

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Artificial Intelligence and International Law by Jaemin Lee Pdf

This book examines the timely issue of artificial intelligence (AI) and law. At this moment, AI is rapidly developing and being utilized in many different sectors. Meanwhile, the rise of AI raises complex questions and poses new challenges—new products and services involving AI will require new regulations and standards to minimize potential negative side-effects and maximize the benefits of this new technology, both within domestic law and international law. Thus, this book focuses on the impact of AI on international law and seeks ways to develop international law frameworks to adequately address the challenges of the AI era. In this context, new forms of inter-state conflicts and emergence of new subjects and objects of international law are discussed along with relevant up-to-date developments in major jurisdictions. Issues arising from the advent of AI relating to state sovereignty, state responsibility, dispute settlements, and north-south divide are also considered.

Author : Robert Munro,Robert Monarch
Publisher : Simon and Schuster
Page : 422 pages
File Size : 44,8 Mb
Release : 2021-07-20
Category : Computers
ISBN : 9781617296741

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Human-in-the-Loop Machine Learning by Robert Munro,Robert Monarch Pdf

Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.

Author : Gary W. Johnson,Richard Jennings
Publisher : McGraw-Hill Professional Publishing
Page : 810 pages
File Size : 44,7 Mb
Release : 2001
Category : Computer graphics
ISBN : UCSD:31822031293640

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LabVIEW Graphical Programming by Gary W. Johnson,Richard Jennings Pdf

CD-ROM contains: Virtual instruments -- Examples built in the book -- Links to NI online catalog.

Author : Kawal Arora,Ankur Singh Bist,Ir. Untung Rahardja,Ashay Singh
Publisher : Walnut Publication
Page : 197 pages
File Size : 42,7 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9789390261871

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Artificial Intelligence: How Computers Think by Kawal Arora,Ankur Singh Bist,Ir. Untung Rahardja,Ashay Singh Pdf

We have seen lots of books, blogs, YouTube channels, and other resources on Artificial Intelligence. We decided to write this book because there are very few of them on the internet that connects essential learning to industry requirements. After experiencing various shades of academia and industry, we thought of bringing our experience for others.

Author : Davey Gibian
Publisher : Rowman & Littlefield
Page : 154 pages
File Size : 43,5 Mb
Release : 2022-05-05
Category : Computers
ISBN : 9781538155097

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Hacking Artificial Intelligence by Davey Gibian Pdf

Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry’s lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. Today, very few people—including those in influential business and government positions—are aware of the new risks that accompany automated systems. While society hurdles ahead with AI, we are also rushing towards a security and safety nightmare. This book is the first-ever layman’s guide to the new world of hacking AI and introduces the field to thousands of readers who should be aware of these risks. From a security perspective, AI is today where the internet was 30 years ago. It is wide open and can be exploited. Readers from leaders to AI enthusiasts and practitioners alike are shown how AI hacking is a real risk to organizations and are provided with a framework to assess such risks, before problems arise.

Author : Artur Gruszczak,Sebastian Kaempf
Publisher : Taylor & Francis
Page : 617 pages
File Size : 51,6 Mb
Release : 2023-09-19
Category : Political Science
ISBN : 9781000930948

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Routledge Handbook of the Future of Warfare by Artur Gruszczak,Sebastian Kaempf Pdf

This handbook provides a comprehensive, problem-driven and dynamic overview of the future of warfare. The volatilities and uncertainties of the global security environment raise timely and important questions about the future of humanity’s oldest occupation: war. This volume addresses these questions through a collection of cutting-edge contributions by leading scholars in the field. Its overall focus is prognostic rather than futuristic, highlighting discernible trends, key developments and themes without downplaying the lessons from the past. By making the past meet the present in order to envision the future, the handbook offers a diversified outlook on the future of warfare, which will be indispensable for researchers, students and military practitioners alike. The volume is divided into six thematic sections. Section I draws out general trends in the phenomenon of war and sketches the most significant developments, from the past to the present and into the future. Section II looks at the areas and domains which actively shape the future of warfare. Section III engages with the main theories and conceptions of warfare, capturing those attributes of contemporary conflicts which will most likely persist and determine the dynamics and directions of their transformations. The fourth section addresses differentiation and complexity in the domain of warfare, pointing to those factors which will exert a strong impact on the structure and properties of that domain. Section V focuses on technology as the principal trigger of changes and alterations in the essence of warfare. The final section draws on the general trends identified in Section I and sheds light on how those trends have manifested in specific local contexts. This section zooms in on particular geographies which are seen and anticipated as hotbeds where future warfare will most likely assume its shape and reveal its true colours. This book will be of great interest to students of strategic studies, defence studies, war and technology, and International Relations.