Ai For All

Author : Jiro Kokuryo
Publisher : Lulu.com
ISBN 13 : 0244557306
Total Pages : 114 pages
Book Rating : 4.00/5 ( download)

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Download or read book AI for Everyone: benefitting from and building trust in the technology written by Jiro Kokuryo and published by Lulu.com. This book was released on 2020-01-28 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: If governed adequately, AI (artificial intelligence) has the potential to benefit humankind enormously. However, if mismanaged, it also has the potential to harm humanity catastrophically. The title of this book reflects the belief that access to the benefits of AI, awareness about the nature of the technology, governance of the technology and its development process with a focus on responsible development, should be transparent, open, understood by and accessible to all people regardless of their geographic, generational, economic, cultural and/or other social background. The book is the result of a discussion series organized by the Association of Pacific Rim Universities (APRU) which was financially supported by Google.

Author : Pieter Verdegem
Publisher : University of Westminster Press
ISBN 13 : 1914386132
Total Pages : 310 pages
Book Rating : 4.38/5 ( download)

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Download or read book AI for Everyone? written by Pieter Verdegem and published by University of Westminster Press. This book was released on 2021-09-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.96/5 ( download)

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Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Author : Kevin Scott
Publisher : HarperCollins
ISBN 13 : 0062879898
Total Pages : 274 pages
Book Rating : 4.99/5 ( download)

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Download or read book Reprogramming the American Dream written by Kevin Scott and published by HarperCollins. This book was released on 2020-04-07 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: ** #1 Wall Street Journal Bestseller ** In this essential book written by a rural native and Silicon Valley veteran, Microsoft’s Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape. There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience. But there is a third way to look at this technology that will revolutionize the workplace and ultimately the world. Kevin Scott argues that AI has the potential to create abundance and opportunity for everyone and help solve some of our most vexing problems. As the chief technology officer at Microsoft, he is deeply involved in the development of AI applications, yet mindful of their potential impact on workers—knowledge he gained firsthand growing up in rural Virginia. Yes, the AI Revolution will radically disrupt economics and employment for everyone for generations to come. But what if leaders prioritized the programming of both future technology and public policy to work together to find solutions ahead of the coming AI epoch? Like public health, the space program, climate change and public education, we need international understanding and collaboration on the future of AI and work. For Scott, the crucial question facing all of us is this: How do we work to ensure that the continued development of AI allows us to keep the American Dream alive? In this thoughtful, informed guide, he offers a clear roadmap to find the answer.

Author : Michelle Zimmerman
Publisher : International Society for Technology in Education
ISBN 13 : 1564847284
Total Pages : 217 pages
Book Rating : 4.87/5 ( download)

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Download or read book Teaching AI written by Michelle Zimmerman and published by International Society for Technology in Education. This book was released on 2018-12-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction.

Author : Ranveer J Patel
Publisher :
ISBN 13 :
Total Pages : 170 pages
Book Rating : 4.88/5 ( download)

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Download or read book Eye on AI written by Ranveer J Patel and published by . This book was released on 2020-05-18 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is the hottest topic of the 21st Century. It has given rise to some of the latest trends in modern technology: Robots, Virtual Assistants, and Self-Driving Cars. But did you know that Artificial Intelligence development began in the 1950's? Eye on AI will enlighten you about the history, applications, types, and categories of Artificial Intelligence with stunning images, easy-to-read graphs, and simple explanations. You might feel uncertain when you hear terms like Machine Learning, Neural Networks, MATLAB, and Natural Language Processing. After reading this book, you will understand and appreciate each of these topics with ease. Eye on AI will teach you how robots are being taught to think today, so that you will know what they are teaching themselves to think about you in the future. Read about robots now when you have the chance, because someday very, very soon, robots will be reading about you.

Author : Alex Castrounis
Publisher : O'Reilly Media
ISBN 13 : 1492036544
Total Pages : 317 pages
Book Rating : 4.48/5 ( download)

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Download or read book AI for People and Business written by Alex Castrounis and published by O'Reilly Media. This book was released on 2019-07-05 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

Author : Brian Christian
Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.36/5 ( download)

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Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

Author : Kate Crawford
Publisher : Yale University Press
ISBN 13 : 0300209576
Total Pages : 336 pages
Book Rating : 4.70/5 ( download)

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Download or read book The Atlas of AI written by Kate Crawford and published by Yale University Press. This book was released on 2021-04-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Author : Ian Millington
Publisher : CRC Press
ISBN 13 : 1000475514
Total Pages : 84 pages
Book Rating : 4.17/5 ( download)

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Download or read book AI for Games written by Ian Millington and published by CRC Press. This book was released on 2021-11-16 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is artificial intelligence? How is artificial intelligence used in game development? Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).