Humans Need Not Apply

Humans Need Not Apply PDF Author: Jerry Kaplan
Publisher: Yale University Press
ISBN: 0300216416
Category : Technology & Engineering
Languages : en
Pages : 256

Book Description
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

Humans Need Not Apply

Humans Need Not Apply PDF Author: Jerry Kaplan
Publisher:
ISBN: 9780300223576
Category : Artificial intelligence
Languages : en
Pages : 0

Book Description
Researchers are finally cracking the code on artificial intelligence. It has the potential to usher in a new age of affluence and leisure-- but as 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. He proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil.--

Anywhere Working and the Future of Work

Anywhere Working and the Future of Work PDF Author: Blount, Yvette
Publisher: IGI Global
ISBN: 179984160X
Category : Business & Economics
Languages : en
Pages : 287

Book Description
While the current workforce has pushed for the capability to work from home, it has been the natural disasters and pandemics that have emerged across the globe this past year that have pushed the matter to the forefront of conversation. More companies are seeing the benefits of having a workforce that can maintain business processes and keep organizations running from anywhere. Advances in technology continue to improve online collaboration tools and co-working centers, making working from anywhere a possibility. Anywhere Working and the Future of Work is a pivotal reference source that provides vital research on the current state of teleworking/telecommuting and how it can be used to achieve competitive advantage. While highlighting topics such as digital workforce, mobile technology, and accessibility, the book examines the trends, issues, and limitations that are informing the future of anywhere working. This publication also explores remote management practices as well as potential challenges such as increasing business automation applications that may require navigation in the future of work. This book is ideally designed for business professionals, managers, executives, government agencies, policymakers, academicians, researchers, and students.

Only Humans Need Apply

Only Humans Need Apply PDF Author: Thomas H. Davenport
Publisher: HarperCollins
ISBN: 0062438603
Category : Business & Economics
Languages : en
Pages : 244

Book Description
An invigorating, thought-provoking, and positive look at the rise of automation that explores how professionals across industries can find sustainable careers in the near future. Nearly half of all working Americans could risk losing their jobs because of technology. It’s not only blue-collar jobs at stake. Millions of educated knowledge workers—writers, paralegals, assistants, medical technicians—are threatened by accelerating advances in artificial intelligence. The industrial revolution shifted workers from farms to factories. In the first era of automation, machines relieved humans of manually exhausting work. Today, Era Two of automation continues to wash across the entire services-based economy that has replaced jobs in agriculture and manufacturing. Era Three, and the rise of AI, is dawning. Smart computers are demonstrating they are capable of making better decisions than humans. Brilliant technologies can now decide, learn, predict, and even comprehend much faster and more accurately than the human brain, and their progress is accelerating. Where will this leave lawyers, nurses, teachers, and editors? In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn’t either human or machine. It’s both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. The choice is ours.

Robot

Robot PDF Author: Hans P. Moravec
Publisher:
ISBN: 9780195136302
Category : Computers
Languages : en
Pages : 244

Book Description
In this compelling book, Hans Moravec predicts that machines will attain human levels of intelligence by the year 2040, and that by 2050, they will surpass us. But even though Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. "Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds." And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into "ex humans," as they upload themselves into advanced computers. This provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine.

Human + Machine

Human + Machine PDF Author: Paul R. Daugherty
Publisher: Harvard Business Press
ISBN: 1633693872
Category : Computers
Languages : en
Pages : 268

Book Description
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.

The Age of Em

The Age of Em PDF Author: Robin Hanson
Publisher: Oxford University Press
ISBN: 0198754620
Category : Business & Economics
Languages : en
Pages : 522

Book Description
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or "ems." Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.

Humans Are Underrated

Humans Are Underrated PDF Author: Geoff Colvin
Publisher: Penguin
ISBN: 0698153650
Category : Business & Economics
Languages : en
Pages : 258

Book Description
As technology races ahead, what will people do better than computers? What hope will there be for us when computers can drive cars better than humans, predict Supreme Court decisions better than legal experts, identify faces, scurry helpfully around offices and factories, even perform some surgeries, all faster, more reliably, and less expensively than people? It’s easy to imagine a nightmare scenario in which computers simply take over most of the tasks that people now get paid to do. While we’ll still need high-level decision makers and computer developers, those tasks won’t keep most working-age people employed or allow their living standard to rise. The unavoidable question—will millions of people lose out, unable to best the machine?—is increasingly dominating business, education, economics, and policy. The bestselling author of Talent Is Overrated explains how the skills the economy values are changing in historic ways. The abilities that will prove most essential to our success are no longer the technical, classroom-taught left-brain skills that economic advances have demanded from workers in the past. Instead, our greatest advantage lies in what we humans are most powerfully driven to do for and with one another, arising from our deepest, most essentially human abilities—empathy, creativity, social sensitivity, storytelling, humor, building relationships, and expressing ourselves with greater power than logic can ever achieve. This is how we create durable value that is not easily replicated by technology—because we’re hardwired to want it from humans. These high-value skills create tremendous competitive advantage—more devoted customers, stronger cultures, breakthrough ideas, and more effective teams. And while many of us regard these abilities as innate traits—“he’s a real people person,” “she’s naturally creative”—it turns out they can all be developed. They’re already being developed in a range of far-sighted organizations, such as: • the Cleveland Clinic, which emphasizes empathy training of doctors and all employees to improve patient outcomes and lower medical costs; • the U.S. Army, which has revolutionized its training to focus on human interaction, leading to stronger teams and greater success in real-world missions; • Stanford Business School, which has overhauled its curriculum to teach interpersonal skills through human-to-human experiences. As technology advances, we shouldn’t focus on beating computers at what they do—we’ll lose that contest. Instead, we must develop our most essential human abilities and teach our kids to value not just technology but also the richness of interpersonal experience. They will be the most valuable people in our world because of it. Colvin proves that to a far greater degree than most of us ever imagined, we already have what it takes to be great.

Radically Human

Radically Human PDF Author: Paul Daugherty
Publisher: Harvard Business Press
ISBN: 1647821096
Category : Business & Economics
Languages : en
Pages : 152

Book Description
Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.

Artificial Intelligence

Artificial Intelligence PDF Author: Jerry Kaplan
Publisher: Oxford University Press
ISBN: 0190602384
Category : Computers
Languages : en
Pages : 193

Book Description
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.
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