Putting Ai In The Critical Loop PDF Download
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| Author | : Prithviraj Dasgupta |
| Publisher | : Elsevier |
| Total Pages | : 306 |
| Release | : 2024-02-23 |
| Genre | : Computers |
| ISBN | : 0443159874 |
Download Putting AI in the Critical Loop Book in PDF, ePub and Kindle
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 | : Jordan Richard Scheonherr |
| Publisher | : Taylor & Francis |
| Total Pages | : 339 |
| Release | : 2024-07-22 |
| Genre | : Medical |
| ISBN | : 1040048544 |
Download Fundamentals and Frontiers of Medical Education and Decision-Making Book in PDF, ePub and Kindle
Fundamentals and Frontiers of Medical Education and Decision-Making brings together international experts to consider the theoretical, practical, and sociocultural foundations of health professions education. In this volume, the authors review the foundational theories that have informed the early transition to competency-based education. Moving beyond these monolithic models, the authors draw from learning and psychological sciences to provide a means to operationalize competencies. The chapters cover fundamental topics including the transition from novices to experts, the development of psychomotor skills in surgery, the role of emotion and metacognition in decision-making, and how practitioners and laypeople represent and communicate health information. Each section provides chapters that integrate and advance our understanding of health professions education and decision- making. Grounded in psychological science, this book highlights the fundamental issues faced by healthcare professionals, and the frontiers of learning and decision-making. It is important reading for a wide audience of healthcare professionals, healthcare administrators, as well as researchers in judgment and decision-making.
| Author | : William Frere Lawless |
| Publisher | : Frontiers Media SA |
| Total Pages | : 220 |
| Release | : 2023-03-30 |
| Genre | : Science |
| ISBN | : 283251930X |
Download Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) Book in PDF, ePub and Kindle
| Author | : Jacob Ward |
| Publisher | : Hachette Books |
| Total Pages | : 292 |
| Release | : 2022-01-25 |
| Genre | : Computers |
| ISBN | : 0316487228 |
Download The Loop Book in PDF, ePub and Kindle
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 | : Jacob Ward |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-10-03 |
| Genre | : Artificial intelligence |
| ISBN | : 9780316487184 |
Download The Loop Book in PDF, ePub and Kindle
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 about to amplify the most primitive version of who we are, and spit it back at us for entertainment and profit. That's the warning from award-winning technology journalist Jacob Ward, whose decade-long journey through the cutting edge of AI and behavioral science reveals that we're on the verge of becoming caught in The Loop: a shrinking cycle of narrowed choices and lost skills that will turn us away from expertise, human connection, and creativity if we don't act fast. From biometric surveillance states that track the movements and relationships of over a billion people, to the algorithms that determine what movies get made, to the risky multiple-choice simplicity of automated battlefield systems, this book reveals that the most obvious patterns in our behavior--patterns that AI is most likely to vacuum up--are not the ones we want to perpetuate. As the tech industry begins writing flawed human habits into AI, The Loop is a call to look at ourselves more clearly, so we can put only the best parts of ourselves into the systems we create.
| Author | : Sam J Tangredi |
| Publisher | : Naval Institute Press |
| Total Pages | : 343 |
| Release | : 2021-03-15 |
| Genre | : Political Science |
| ISBN | : 1682476340 |
Download AI at War Book in PDF, ePub and Kindle
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 | : Robert Munro |
| Publisher | : Simon and Schuster |
| Total Pages | : 422 |
| Release | : 2021-07-20 |
| Genre | : Computers |
| ISBN | : 1617296740 |
Download Human-in-the-Loop Machine Learning Book in PDF, ePub and Kindle
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 | : Francis X. Govers |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 336 |
| Release | : 2018-08-30 |
| Genre | : Computers |
| ISBN | : 1788835700 |
Download Artificial Intelligence for Robotics Book in PDF, ePub and Kindle
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 | : Simon Lindgren |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 941 |
| Release | : 2023-11-03 |
| Genre | : Computers |
| ISBN | : 1803928565 |
Download Handbook of Critical Studies of Artificial Intelligence Book in PDF, ePub and Kindle
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 | : Sarath Sarath Sreedharan |
| Publisher | : Springer Nature |
| Total Pages | : 164 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031037677 |
Download Explainable Human-AI Interaction Book in PDF, ePub and Kindle
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.
