They Are Not Machines
They Are Not Machines

Author: Chun Soonok

Publisher: Routledge

Published: 2017-09-29

Total Pages: 236

ISBN-13: 1351879529

DOWNLOAD EBOOK

The multi-faceted tensions created in developing countries between a burgeoning popular desire for democracy and the harsh imperatives of modernisation and industrialisation are nowhere more evident than in the so-called 'Asian tiger' nations. Of all those nascent economies, South Korea in the 1960s and 1970s stands pre-eminent for the magnitude and speed of its development and the extraordinarily oppressive and inhumane conditions that its labour force, mainly women and young girls, were compelled to endure. The author of this book was one of those young girls who suffered in the warren of sweat-shop garment factories in the slums of central Seoul. With little or no support from male co-workers, and despite their political naivety and the traditionally subordinate status of Korean females, the women textile and garment workers confronted the ruling authority at all levels. The author's mother was one of their leaders, and her eldest brother sacrificed his life for their cause. Despite appalling state-directed violence, betrayal by erstwhile colleagues, the chicanery and mendacity of employers' cooperatives and countless other setbacks, these uneducated and overworked women finally succeeded in forming the first fully democratic trade union in the history of Korea. Based on compelling personal accounts this is the first published account of the women's struggle, and it throws much light on the process of modernisation and industrialisation in Korea and beyond.

Machines like Us
Machines like Us

Author: Ronald J. Brachman

Publisher: MIT Press

Published: 2022-05-17

Total Pages: 320

ISBN-13: 0262369222

DOWNLOAD EBOOK

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.

Machines We Trust
Machines We Trust

Author: Marcello Pelillo

Publisher: MIT Press

Published: 2021-08-24

Total Pages: 175

ISBN-13: 0262362163

DOWNLOAD EBOOK

Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.

Machines Like Me
Machines Like Me

Author: Ian McEwan

Publisher: Anchor

Published: 2019-04-23

Total Pages: 291

ISBN-13: 0385545126

DOWNLOAD EBOOK

From the Booker Prize winner and bestselling author of Atonement—”a sharply intelligent novel of ideas” (The New York Times) that asks whether a machine can understand the human heart, or whether we are the ones who lack understanding. Set in an uncanny alternative 1982 London—where Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence—Machines Like Me powerfully portrays two lovers who will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first generation of synthetic humans. With Miranda's assistance, he codesigns Adam's personality. The near-perfect human that emerges is beautiful, strong, and smart—and a love triangle soon forms. Ian McEwan's subversive, gripping novel poses fundamental questions: What makes us human—our outward deeds or our inner lives? Could a machine understand the human heart? This provocative and thrilling tale warns against the power to invent things beyond our control. Don’t miss Ian McEwan’s new novel, Lessons, coming in September!

Klara and the Sun
Klara and the Sun

Author: Kazuo Ishiguro

Publisher: Vintage

Published: 2021-03-02

Total Pages: 273

ISBN-13: 0593318188

DOWNLOAD EBOOK

NEW YORK TIMES BESTSELLER • Once in a great while, a book comes along that changes our view of the world. This magnificent novel from the Nobel laureate and author of Never Let Me Go is “an intriguing take on how artificial intelligence might play a role in our futures ... a poignant meditation on love and loneliness” (The Associated Press). • A GOOD MORNING AMERICA Book Club Pick! Here is the story of Klara, an Artificial Friend with outstanding observational qualities, who, from her place in the store, watches carefully the behavior of those who come in to browse, and of those who pass on the street outside. She remains hopeful that a customer will soon choose her. Klara and the Sun is a thrilling book that offers a look at our changing world through the eyes of an unforgettable narrator, and one that explores the fundamental question: what does it mean to love?

How Humans Judge Machines
How Humans Judge Machines

Author: Cesar A. Hidalgo

Publisher: MIT Press

Published: 2021-02-02

Total Pages: 257

ISBN-13: 026236252X

DOWNLOAD EBOOK

How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.

Sekret Machines Book 1: Chasing Shadows
Sekret Machines Book 1: Chasing Shadows

Author: Tom DeLonge

Publisher: To The Stars

Published: 2016-04-05

Total Pages: 541

ISBN-13: 1943272166

DOWNLOAD EBOOK

For those who know... that something is going on... The witnesses are legion, scattered across the world and dotted through history, people who looked up and saw something impossible lighting up the night sky. What those objects were, where they came from, and who—or what—might be inside them is the subject of fierce debate and equally fierce mockery, so that most who glimpsed them came to wish they hadn’t. Most, but not everyone. Among those who know what they’ve seen, and—like the toll of a bell that can’t be unrung—are forever changed by it, are a pilot, an heiress, a journalist, and a prisoner of war. From the waning days of the 20th century’s final great war to the fraught fields of Afghanistan to the otherworldly secrets hidden amid Nevada’s dusty neverlands—the truth that is out there will propel each of them into a labyrinth of otherworldly technology and the competing aims of those who might seek to prevent—or harness—these beings of unfathomable power. Because, as it turns out, we are not the only ones who can invent and build...and destroy. Featuring actual events and other truths drawn from sources within the military and intelligence community, Tom DeLonge and A.J. Hartley offer a tale at once terrifying, fantastical, and perhaps all too real. Though it is, of course, a work of... fiction?

Human + Machine
Human + Machine

Author: Paul R. Daugherty

Publisher: Harvard Business Press

Published: 2018-03-20

Total Pages: 268

ISBN-13: 1633693872

DOWNLOAD EBOOK

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.

We Humans and the Intelligent Machines
We Humans and the Intelligent Machines

Author: Jörg Dräger

Publisher: Verlag Bertelsmann Stiftung

Published: 2020-04-09

Total Pages: 249

ISBN-13: 3867938857

DOWNLOAD EBOOK

Defeat cancer before it develops. Prevent crime before it happens. Get the perfect job without having to know the right people. Algorithms turn long-wished-for dreams into reality. At the same time, they can weaken solidarity in healthcare systems, lead to discriminatory court judgements and exclude individuals from the labor market. Algorithms are already deeply determining our lives. This book uses illuminating examples to describe the opportunities and risks machine-based decision-making presents for each of us. It also offers specific suggestions for ensuring artificial intelligence serves society as it should.

Artificial Unintelligence
Artificial Unintelligence

Author: Meredith Broussard

Publisher: MIT Press

Published: 2019-01-29

Total Pages: 247

ISBN-13: 026253701X

DOWNLOAD EBOOK

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.