Author: Alfonso Borello
Publisher: Villaggio Publishing Ltd.
ISBN:
Category : Self-Help
Languages : en
Pages : 81
Book Description
Imagine a world where minds are sculpted like AI: each individual undergoing a transformative process akin to neural network training. Here, the concept of "mind training like AI" takes center stage—a provocative notion challenging traditional views of learning and self-improvement. Picture human minds as dynamic entities, continuously evolving and adapting, shaped by the principles of artificial intelligence. In this realm, the boundaries between human cognition and machine learning blur, ushering in a new era of cognitive enhancement. Layers of knowledge, experiences, and insights intertwine to form a dynamic network of cognitive pathways. Minds become fluid, adaptive entities, responding to stimuli and feedback in real-time, much like the algorithms of AI. This work invites you to envision a future where the synergy between human intelligence and machine learning knows no bounds. It challenges conventional notions of human potential, offering a glimpse into the transformative power of mind training like AI. As we explore this concept further, we unlock the secrets of human cognition and chart a course towards unprecedented levels of intelligence and self-discovery.
Mind Training Like AI
Author: Alfonso Borello
Publisher: Villaggio Publishing Ltd.
ISBN:
Category : Self-Help
Languages : en
Pages : 81
Book Description
Imagine a world where minds are sculpted like AI: each individual undergoing a transformative process akin to neural network training. Here, the concept of "mind training like AI" takes center stage—a provocative notion challenging traditional views of learning and self-improvement. Picture human minds as dynamic entities, continuously evolving and adapting, shaped by the principles of artificial intelligence. In this realm, the boundaries between human cognition and machine learning blur, ushering in a new era of cognitive enhancement. Layers of knowledge, experiences, and insights intertwine to form a dynamic network of cognitive pathways. Minds become fluid, adaptive entities, responding to stimuli and feedback in real-time, much like the algorithms of AI. This work invites you to envision a future where the synergy between human intelligence and machine learning knows no bounds. It challenges conventional notions of human potential, offering a glimpse into the transformative power of mind training like AI. As we explore this concept further, we unlock the secrets of human cognition and chart a course towards unprecedented levels of intelligence and self-discovery.
Publisher: Villaggio Publishing Ltd.
ISBN:
Category : Self-Help
Languages : en
Pages : 81
Book Description
Imagine a world where minds are sculpted like AI: each individual undergoing a transformative process akin to neural network training. Here, the concept of "mind training like AI" takes center stage—a provocative notion challenging traditional views of learning and self-improvement. Picture human minds as dynamic entities, continuously evolving and adapting, shaped by the principles of artificial intelligence. In this realm, the boundaries between human cognition and machine learning blur, ushering in a new era of cognitive enhancement. Layers of knowledge, experiences, and insights intertwine to form a dynamic network of cognitive pathways. Minds become fluid, adaptive entities, responding to stimuli and feedback in real-time, much like the algorithms of AI. This work invites you to envision a future where the synergy between human intelligence and machine learning knows no bounds. It challenges conventional notions of human potential, offering a glimpse into the transformative power of mind training like AI. As we explore this concept further, we unlock the secrets of human cognition and chart a course towards unprecedented levels of intelligence and self-discovery.
Machine Learning for Kids
Author: Dale Lane
Publisher: No Starch Press
ISBN: 1718500572
Category : Computers
Languages : en
Pages : 290
Book Description
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
Publisher: No Starch Press
ISBN: 1718500572
Category : Computers
Languages : en
Pages : 290
Book Description
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
T-Minus AI
Author: Michael Kanaan
Publisher: BenBella Books
ISBN: 1950665135
Category : Science
Languages : en
Pages : 249
Book Description
Late in 2017, the global significance of the conversation about artificial intelligence (AI) changed forever. China put the world on alert when it released a plan to dominate all aspects of AI across the planet. Only weeks later, Vladimir Putin raised a Russian red flag in response by declaring AI the future for all humankind, and proclaiming that, "Whoever becomes the leader in this sphere will become the ruler of the world." The race was on. Consistent with their unique national agendas, countries throughout the world began plotting their paths and hurrying their pace. Now, not long after, the race has become a sprint. Despite everything at stake, to most of us AI remains shrouded by a cloud of mystery and misunderstanding. Hidden behind complicated and technical jargon and confused by fantastical depictions of science fiction, the modern realities of AI and its profound implications are hard to decipher, but crucial to recognize. In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains AI from a human-oriented perspective we can all finally understand. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning. Kanaan also dives into the global implications of AI by illuminating the cultural and national vulnerabilities already exposed and the pressing issues now squarely on the table. AI has already become China's all-purpose tool to impose its authoritarian influence around the world. Russia, playing catch up, is weaponizing AI through its military systems and now infamous, aggressive efforts to disrupt democracy by whatever disinformation means possible. America and like-minded nations are awakening to these new realities—and the paths they're electing to follow echo loudly the political foundations and, in most cases, the moral imperatives upon which they were formed. As we march toward a future far different than ever imagined, T-Minus AI is fascinating and crucially well-timed. It leaves the fiction behind, paints the alarming implications of AI for what they actually are, and calls for unified action to protect fundamental human rights and dignities for all.
Publisher: BenBella Books
ISBN: 1950665135
Category : Science
Languages : en
Pages : 249
Book Description
Late in 2017, the global significance of the conversation about artificial intelligence (AI) changed forever. China put the world on alert when it released a plan to dominate all aspects of AI across the planet. Only weeks later, Vladimir Putin raised a Russian red flag in response by declaring AI the future for all humankind, and proclaiming that, "Whoever becomes the leader in this sphere will become the ruler of the world." The race was on. Consistent with their unique national agendas, countries throughout the world began plotting their paths and hurrying their pace. Now, not long after, the race has become a sprint. Despite everything at stake, to most of us AI remains shrouded by a cloud of mystery and misunderstanding. Hidden behind complicated and technical jargon and confused by fantastical depictions of science fiction, the modern realities of AI and its profound implications are hard to decipher, but crucial to recognize. In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains AI from a human-oriented perspective we can all finally understand. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning. Kanaan also dives into the global implications of AI by illuminating the cultural and national vulnerabilities already exposed and the pressing issues now squarely on the table. AI has already become China's all-purpose tool to impose its authoritarian influence around the world. Russia, playing catch up, is weaponizing AI through its military systems and now infamous, aggressive efforts to disrupt democracy by whatever disinformation means possible. America and like-minded nations are awakening to these new realities—and the paths they're electing to follow echo loudly the political foundations and, in most cases, the moral imperatives upon which they were formed. As we march toward a future far different than ever imagined, T-Minus AI is fascinating and crucially well-timed. It leaves the fiction behind, paints the alarming implications of AI for what they actually are, and calls for unified action to protect fundamental human rights and dignities for all.
Artificial Intelligence
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 336
Book Description
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.
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 336
Book Description
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.
Artificial Intelligence in Behavioral and Mental Health Care
Author: David D. Luxton
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 309
Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 309
Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Rebooting AI
Author: Gary Marcus
Publisher: Vintage
ISBN: 1524748269
Category : Computers
Languages : en
Pages : 288
Book Description
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Publisher: Vintage
ISBN: 1524748269
Category : Computers
Languages : en
Pages : 288
Book Description
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Artificial You
Author: Susan Schneider
Publisher: Princeton University Press
ISBN: 0691216746
Category : Computers
Languages : en
Pages : 192
Book Description
"Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy! are now all AIs. Given the rapid pace of progress in AI, many predict that it could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind? In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms. At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds."--Provided by publisher.
Publisher: Princeton University Press
ISBN: 0691216746
Category : Computers
Languages : en
Pages : 192
Book Description
"Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy! are now all AIs. Given the rapid pace of progress in AI, many predict that it could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind? In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms. At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds."--Provided by publisher.
Ah! Why AI Keeps Making Things Up
Author: Alfonso Borello
Publisher: Villaggio Publishing Ltd.
ISBN:
Category : Computers
Languages : en
Pages : 65
Book Description
Unveiling the Secrets of Artificial Creativity Dive into the enigmatic realm of artificial intelligence as we unravel the mysteries behind its unexpected and sometimes downright perplexing behavior. In "Why AI Keeps Making Things Up," we embark on a captivating journey through the fascinating world of AI's creative tendencies. Have you ever wondered why AI systems sometimes seem to veer off into the realm of imagination, conjuring up stories and scenarios that seem too surreal to be true? Through a careful examination of adversarial attacks, data corruption, bias and skew, data drift, and robustness issues, we uncover the hidden forces at play behind AI's imaginative creations. From deceptive adversaries seeking to distort AI's perception of reality to the subtle biases and distortions lurking within our training data, every chapter of this book offers fresh insights and eye-opening revelations. Through compelling case studies and real-world examples, we witness firsthand the impact of AI's creative quirks on industries ranging from finance and healthcare to entertainment and beyond. But fear not, for amid the chaos of AI's creative escapades, we also discover a glimmer of hope. Armed with robust mitigation strategies and forward-thinking approaches, we uncover pathways toward a future where AI's imaginative powers can be harnessed for good, unlocking new possibilities and transforming the way we interact with technology. Engaging, enlightening, and thought-provoking, "Why AI Keeps Making Things Up" is a must-read for anyone intrigued by the inner workings of artificial intelligence. Whether you're a seasoned AI practitioner, a curious enthusiast, or simply a lover of captivating stories, this book promises to challenge your perceptions and ignite your imagination. Are you ready to uncover the secrets of artificial creativity? Join us on this unforgettable expedition into the heart of AI's most intriguing mysteries. And don’t forget premium, for the ultimate crucial experiment.
Publisher: Villaggio Publishing Ltd.
ISBN:
Category : Computers
Languages : en
Pages : 65
Book Description
Unveiling the Secrets of Artificial Creativity Dive into the enigmatic realm of artificial intelligence as we unravel the mysteries behind its unexpected and sometimes downright perplexing behavior. In "Why AI Keeps Making Things Up," we embark on a captivating journey through the fascinating world of AI's creative tendencies. Have you ever wondered why AI systems sometimes seem to veer off into the realm of imagination, conjuring up stories and scenarios that seem too surreal to be true? Through a careful examination of adversarial attacks, data corruption, bias and skew, data drift, and robustness issues, we uncover the hidden forces at play behind AI's imaginative creations. From deceptive adversaries seeking to distort AI's perception of reality to the subtle biases and distortions lurking within our training data, every chapter of this book offers fresh insights and eye-opening revelations. Through compelling case studies and real-world examples, we witness firsthand the impact of AI's creative quirks on industries ranging from finance and healthcare to entertainment and beyond. But fear not, for amid the chaos of AI's creative escapades, we also discover a glimmer of hope. Armed with robust mitigation strategies and forward-thinking approaches, we uncover pathways toward a future where AI's imaginative powers can be harnessed for good, unlocking new possibilities and transforming the way we interact with technology. Engaging, enlightening, and thought-provoking, "Why AI Keeps Making Things Up" is a must-read for anyone intrigued by the inner workings of artificial intelligence. Whether you're a seasoned AI practitioner, a curious enthusiast, or simply a lover of captivating stories, this book promises to challenge your perceptions and ignite your imagination. Are you ready to uncover the secrets of artificial creativity? Join us on this unforgettable expedition into the heart of AI's most intriguing mysteries. And don’t forget premium, for the ultimate crucial experiment.
The Alignment Problem: Machine Learning and Human Values
Author: Brian Christian
Publisher: W. W. Norton & Company
ISBN: 039363583X
Category : Science
Languages : en
Pages : 459
Book Description
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.
Publisher: W. W. Norton & Company
ISBN: 039363583X
Category : Science
Languages : en
Pages : 459
Book Description
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.
The Smarter Screen
Author: Shlomo Benartzi
Publisher: Penguin
ISBN: 0698194306
Category : Business & Economics
Languages : en
Pages : 258
Book Description
A leading behavioral economist reveals the tools that will improve our decision making on screens Office workers spend the majority of their waking hours staring at screens. Unfortunately, few of us are aware of the visual biases and behavioral patterns that influence our thinking when we’re on our laptops, iPads, smartphones, or smartwatches. The sheer volume of information and choices available online, combined with the ease of tapping "buy," often make for poor decision making on screens. In The Smarter Screen, behavioral economist Shlomo Benartzi reveals a tool kit of interventions for the digital age. Using engaging reader exercises and provocative case studies, Benartzi shows how digital designs can influence our decision making on screens in all sorts of surprising ways. For example: • You’re more likely to add bacon to your pizza if you order online. • If you read this book on a screen, you’re less likely to remember its content. • You might buy an item just because it’s located in a screen hot spot, even if better options are available. • If you shop using a touch screen, you’ll probably overvalue the product you’re considering. • You’re more likely to remember a factoid like this one if it’s displayed in an ugly, difficult-to-read font. Drawing on the latest research on digital nudging, Benartzi reveals how we can create an online world that helps us think better, not worse.
Publisher: Penguin
ISBN: 0698194306
Category : Business & Economics
Languages : en
Pages : 258
Book Description
A leading behavioral economist reveals the tools that will improve our decision making on screens Office workers spend the majority of their waking hours staring at screens. Unfortunately, few of us are aware of the visual biases and behavioral patterns that influence our thinking when we’re on our laptops, iPads, smartphones, or smartwatches. The sheer volume of information and choices available online, combined with the ease of tapping "buy," often make for poor decision making on screens. In The Smarter Screen, behavioral economist Shlomo Benartzi reveals a tool kit of interventions for the digital age. Using engaging reader exercises and provocative case studies, Benartzi shows how digital designs can influence our decision making on screens in all sorts of surprising ways. For example: • You’re more likely to add bacon to your pizza if you order online. • If you read this book on a screen, you’re less likely to remember its content. • You might buy an item just because it’s located in a screen hot spot, even if better options are available. • If you shop using a touch screen, you’ll probably overvalue the product you’re considering. • You’re more likely to remember a factoid like this one if it’s displayed in an ugly, difficult-to-read font. Drawing on the latest research on digital nudging, Benartzi reveals how we can create an online world that helps us think better, not worse.