A Human S Guide To Machine Intelligence
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A Human S Guide To Machine Intelligence
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Author : Kartik Hosanagar
language : en
Publisher: Penguin
Release Date : 2019-03-12
A Human S Guide To Machine Intelligence written by Kartik Hosanagar and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-12 with Business & Economics categories.
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
A Human S Guide To Machine Intelligence
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Author : Kartik Hosanagar
language : en
Publisher: Viking Adult
Release Date : 2019
A Human S Guide To Machine Intelligence written by Kartik Hosanagar and has been published by Viking Adult this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Business & Economics categories.
In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives.
A Human S Guide To Machine Intelligence
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Author : Kartik Hosanagar
language : en
Publisher: Penguin Random House India Private Limited
Release Date : 2019-05-16
A Human S Guide To Machine Intelligence written by Kartik Hosanagar and has been published by Penguin Random House India Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-16 with Literary Collections categories.
Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday choices for us: from what products we buy to where we decide to eat, from how we consume our news to whom we date and how we find a job. We've even delegated life-and-death decisions to algorithms-judgments once made by doctors, pilots, and judges. In A Human's Guide to Machine Intelligence, Kartik Hosanagar surveys the brave new world of algorithmic decision making and reveals the potentially dangerous biases to which they can give rise as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. The way to achieving that is understanding that algorithms often think a lot like their creators-that is, like you and me. Hosanagar draws on his own experiences designing algorithms professionally, as well as on examples from history, computer science, and psychology, to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision making. He examines episodes like the fatal accidents of self-driving cars; Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and is a practical user's guide to this first wave of practical artificial intelligence.
Artificial Intelligence
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Author : Melanie Mitchell
language : en
Publisher: Penguin UK
Release Date : 2019-10-15
Artificial Intelligence written by Melanie Mitchell and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Computers categories.
'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael Gazzaniga A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures.
Artificial Intelligence
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Author : Melanie Mitchell
language : en
Publisher: Farrar, Straus and Giroux
Release Date : 2019-10-15
Artificial Intelligence written by Melanie Mitchell and has been published by Farrar, Straus and Giroux this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Computers categories.
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
A Citizen S Guide To Artificial Intelligence
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Author : John Zerilli
language : en
Publisher: MIT Press
Release Date : 2021-02-23
A Citizen S Guide To Artificial Intelligence written by John Zerilli and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Computers categories.
A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Humans Need Not Apply
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Author : Jerry Kaplan
language : en
Publisher: Yale University Press
Release Date : 2015-08-04
Humans Need Not Apply written by Jerry Kaplan and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-04 with Technology & Engineering categories.
An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times
Human In The Loop Machine Learning
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Author : Robert Munro
language : en
Publisher: Simon and Schuster
Release Date : 2021-07-20
Human In The Loop Machine Learning written by Robert Munro and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with Computers categories.
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.
Human Machine
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Author : Paul R. Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2018-03-20
Human Machine written by Paul R. Daugherty and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Computers categories.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
Ai On The Job
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Author : Andreas Moring
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Ai On The Job written by Andreas Moring and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Psychology categories.
This book is a practical guide to using artificial intelligence with motivated employees in companies and organizations. You will learn what the prerequisites are for people to look forward to productive collaboration with "intelligent machines". Because this is the only way to leverage the full potential of AI. To this end, you will receive an overview of how and where AI can be used in companies and how to identify the right areas of application for AI in your company. The main issue here is the following: which tasks will be taken over by AI in the future and which should continue to be performed by employees. These decisions change processes and tasks and require practical change management and motivation. In this book, you will learn how to motivate and inspire people for these new tasks, so that the steps towards using AI in the work environment can succeed in the best possible way. About the Author: Prof. Dr. Andreas Moring is Professor of Digital Business, Innovation & AI at the International School of Management. He is founder and director of the JuS.TECH Institute for AI and Sustainability, co-founder of the WeGoFive initiative for productive human-AI cooperation and topic sponsor for human-AI cooperation at the Artificial Intelligence Center ARIC in Hamburg. This book is a translation of the original German 1st edition KI im Job by Andreas Moring, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.