Putting Ai In The Critical Loop

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Putting AI in the Critical Loop

Author : Prithviraj Dasgupta
Publisher : Elsevier
ISBN 13 : 0443159874
Total Pages : 306 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Putting AI in the Critical Loop by : Prithviraj Dasgupta

Download or read book Putting AI in the Critical Loop written by Prithviraj Dasgupta and published by Elsevier. This book was released on 2024-02-23 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Fundamentals and Frontiers of Medical Education and Decision-Making

Author : Jordan Richard Scheonherr
Publisher : Taylor & Francis
ISBN 13 : 1040048544
Total Pages : 339 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Fundamentals and Frontiers of Medical Education and Decision-Making by : Jordan Richard Scheonherr

Download or read book Fundamentals and Frontiers of Medical Education and Decision-Making written by Jordan Richard Scheonherr and published by Taylor & Francis. This book was released on 2024-07-22 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S)

Download Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) PDF Online Free

Author : William Frere Lawless
Publisher : Frontiers Media SA
ISBN 13 : 283251930X
Total Pages : 220 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) by : William Frere Lawless

Download or read book Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) written by William Frere Lawless and published by Frontiers Media SA. This book was released on 2023-03-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Human-in-the-Loop Machine Learning

Author : Robert Munro
Publisher : Simon and Schuster
ISBN 13 : 1617296740
Total Pages : 422 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Human-in-the-Loop Machine Learning by : Robert Munro

Download or read book Human-in-the-Loop Machine Learning written by Robert Munro and published by Simon and Schuster. This book was released on 2021-07-20 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Loop

Author : Jacob Ward
Publisher : Hachette Books
ISBN 13 : 0316487228
Total Pages : 292 pages
Book Rating : 4.3/5 (164 download)

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Book Synopsis The Loop by : Jacob Ward

Download or read book The Loop written by Jacob Ward and published by Hachette Books. This book was released on 2022-01-25 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI at War

Author : Sam J Tangredi
Publisher : Naval Institute Press
ISBN 13 : 1682476340
Total Pages : 343 pages
Book Rating : 4.6/5 (824 download)

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Book Synopsis AI at War by : Sam J Tangredi

Download or read book AI at War written by Sam J Tangredi and published by Naval Institute Press. This book was released on 2021-03-15 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Human-Centered AI

Author : Ben Shneiderman
Publisher : Oxford University Press
ISBN 13 : 0192845292
Total Pages : 390 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Human-Centered AI by : Ben Shneiderman

Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Artificial Intelligence for Robotics

Author : Francis X. Govers
Publisher : Packt Publishing Ltd
ISBN 13 : 1788835700
Total Pages : 336 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Artificial Intelligence for Robotics by : Francis X. Govers

Download or read book Artificial Intelligence for Robotics written by Francis X. Govers and published by Packt Publishing Ltd. This book was released on 2018-08-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI Morality

Author : David Edmonds
Publisher : Oxford University Press
ISBN 13 : 0198876459
Total Pages : 251 pages
Book Rating : 4.1/5 (988 download)

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Book Synopsis AI Morality by : David Edmonds

Download or read book AI Morality written by David Edmonds and published by Oxford University Press. This book was released on 2024-07-12 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A philosophical task force explores how AI is revolutionizing our lives - and what moral problems it might bring, showing us what to be wary of, and what to be hopeful for. There is no more important issue at present than artificial intelligence. AI has begun to penetrate almost every sphere of human activity. It will disrupt our lives entirely. David Edmonds brings together a team of leading philosophers to explore some of the urgent moral concerns we should have about this revolution. The chapters are rich with examples from contemporary society and imaginative projections of the future. The contributors investigate problems we're all aware of, and introduce some that will be new to many readers. They discuss self and identity, health and insurance, politics and manipulation, the environment, work, law, policing, and defence. Each of them explains the issue in a lively and illuminating way, and takes a view about how we should think and act in response. Anyone who is wondering what ethical challenges the future holds for us can start here.

Artificial Intelligence for Robotics

Author : Francis X. Govers III
Publisher : Packt Publishing Ltd
ISBN 13 : 1805124390
Total Pages : 344 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Artificial Intelligence for Robotics by : Francis X. Govers III

Download or read book Artificial Intelligence for Robotics written by Francis X. Govers III and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let an AI and robotics expert help you apply AI, systems engineering, and ML concepts to create smart robots capable of interacting with their environment and 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 second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, 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 using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and 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.

LabVIEW Graphical Programming

Author : Gary Johnson
Publisher : McGraw Hill Professional
ISBN 13 : 0071451463
Total Pages : 626 pages
Book Rating : 4.0/5 (714 download)

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Book Synopsis LabVIEW Graphical Programming by : Gary Johnson

Download or read book LabVIEW Graphical Programming written by Gary Johnson and published by McGraw Hill Professional. This book was released on 2006-07-17 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machines like Us

Author : Ronald J. Brachman
Publisher : MIT Press
ISBN 13 : 0262547325
Total Pages : 319 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Machines like Us by : Ronald J. Brachman

Download or read book Machines like Us written by Ronald J. Brachman and published by MIT Press. This book was released on 2023-10-17 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.

Towards Ethical and Socially Responsible Explainable AI

Author : Mohammad Amir Khusru Akhtar
Publisher : Springer Nature
ISBN 13 : 3031664892
Total Pages : 381 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Towards Ethical and Socially Responsible Explainable AI by : Mohammad Amir Khusru Akhtar

Download or read book Towards Ethical and Socially Responsible Explainable AI written by Mohammad Amir Khusru Akhtar and published by Springer Nature. This book was released on with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and International Law

Author : Jaemin Lee
Publisher : Springer Nature
ISBN 13 : 9811914966
Total Pages : 264 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence and International Law by : Jaemin Lee

Download or read book Artificial Intelligence and International Law written by Jaemin Lee and published by Springer Nature. This book was released on 2022-05-10 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

LabVIEW Graphical Programming

Author : Gary W. Johnson
Publisher : McGraw-Hill Professional Publishing
ISBN 13 :
Total Pages : 810 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis LabVIEW Graphical Programming by : Gary W. Johnson

Download or read book LabVIEW Graphical Programming written by Gary W. Johnson and published by McGraw-Hill Professional Publishing. This book was released on 2001 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Virtual instruments -- Examples built in the book -- Links to NI online catalog.

The AI-First Company

Author : Ash Fontana
Publisher : Penguin
ISBN 13 : 0593330315
Total Pages : 306 pages
Book Rating : 4.5/5 (933 download)

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Book Synopsis The AI-First Company by : Ash Fontana

Download or read book The AI-First Company written by Ash Fontana and published by Penguin. This book was released on 2021-05-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.

Artificial Intelligence: How Computers Think

Author : Kawal Arora
Publisher : Walnut Publication
ISBN 13 : 9390261872
Total Pages : 197 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Artificial Intelligence: How Computers Think by : Kawal Arora

Download or read book Artificial Intelligence: How Computers Think written by Kawal Arora and published by Walnut Publication. This book was released on 2020-10-02 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.