Author: Julian E. Orr
Publisher: Cornell University Press
ISBN: 1501707396
Category : Political Science
Languages : en
Pages : 191
Book Description
This is a story of how work gets done. It is also a study of how field service technicians talk about their work and how that talk is instrumental in their success. In his innovative ethnography, Julian E. Orr studies the people who repair photocopiers and shares vignettes from their daily lives. He characterizes their work as a continuous highly skilled improvisation within a triangular relationship of technician, customer, and machine. The work technicians do encompasses elements not contained in the official definition of the job yet vital to its success. Orr's analysis of the way repair people talk about their work reveals that talk is, in fact, a crucial dimension of their practice. Diagnosis happens through a narrative process, the creation of a coherent description of the troubled machine. The descriptions become the basis for technicians' discourse about their experience, and the circulation of stories among the technicians is the principal means by which they stay informed of the developing subtleties of machine behavior. Orr demonstrates that technical knowledge is a socially distributed resource stored and diffused primarily through an oral culture.Based on participant observation with copier repair technicians in the field and strengthened by Orr's own years as a technician, this book explodes numerous myths about technicians and suggests how technical work differs from other kinds of employment.
Talking about Machines
Author: Julian E. Orr
Publisher: Cornell University Press
ISBN: 1501707396
Category : Political Science
Languages : en
Pages : 191
Book Description
This is a story of how work gets done. It is also a study of how field service technicians talk about their work and how that talk is instrumental in their success. In his innovative ethnography, Julian E. Orr studies the people who repair photocopiers and shares vignettes from their daily lives. He characterizes their work as a continuous highly skilled improvisation within a triangular relationship of technician, customer, and machine. The work technicians do encompasses elements not contained in the official definition of the job yet vital to its success. Orr's analysis of the way repair people talk about their work reveals that talk is, in fact, a crucial dimension of their practice. Diagnosis happens through a narrative process, the creation of a coherent description of the troubled machine. The descriptions become the basis for technicians' discourse about their experience, and the circulation of stories among the technicians is the principal means by which they stay informed of the developing subtleties of machine behavior. Orr demonstrates that technical knowledge is a socially distributed resource stored and diffused primarily through an oral culture.Based on participant observation with copier repair technicians in the field and strengthened by Orr's own years as a technician, this book explodes numerous myths about technicians and suggests how technical work differs from other kinds of employment.
Publisher: Cornell University Press
ISBN: 1501707396
Category : Political Science
Languages : en
Pages : 191
Book Description
This is a story of how work gets done. It is also a study of how field service technicians talk about their work and how that talk is instrumental in their success. In his innovative ethnography, Julian E. Orr studies the people who repair photocopiers and shares vignettes from their daily lives. He characterizes their work as a continuous highly skilled improvisation within a triangular relationship of technician, customer, and machine. The work technicians do encompasses elements not contained in the official definition of the job yet vital to its success. Orr's analysis of the way repair people talk about their work reveals that talk is, in fact, a crucial dimension of their practice. Diagnosis happens through a narrative process, the creation of a coherent description of the troubled machine. The descriptions become the basis for technicians' discourse about their experience, and the circulation of stories among the technicians is the principal means by which they stay informed of the developing subtleties of machine behavior. Orr demonstrates that technical knowledge is a socially distributed resource stored and diffused primarily through an oral culture.Based on participant observation with copier repair technicians in the field and strengthened by Orr's own years as a technician, this book explodes numerous myths about technicians and suggests how technical work differs from other kinds of employment.
Talking about Machines
Author: Julian E. Orr
Publisher: Cornell University Press
ISBN: 9780801483905
Category : Business & Economics
Languages : en
Pages : 194
Book Description
Explores the work practices of experienced photocopier maintenance technicians working for the Xerox Corporation. Examines the triangular relationship between the technician, the customer and the machine. Highlights the narrative process used by technicians in the diagnosis of machine problems.
Publisher: Cornell University Press
ISBN: 9780801483905
Category : Business & Economics
Languages : en
Pages : 194
Book Description
Explores the work practices of experienced photocopier maintenance technicians working for the Xerox Corporation. Examines the triangular relationship between the technician, the customer and the machine. Highlights the narrative process used by technicians in the diagnosis of machine problems.
How to Speak Machine
Author: John Maeda
Publisher: Penguin
ISBN: 0399564438
Category : Technology & Engineering
Languages : en
Pages : 242
Book Description
Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer. "Maeda is to design what Warren Buffett is to finance." --Wired John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias. How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products--while avoiding the pitfalls inherent to the medium.
Publisher: Penguin
ISBN: 0399564438
Category : Technology & Engineering
Languages : en
Pages : 242
Book Description
Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer. "Maeda is to design what Warren Buffett is to finance." --Wired John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias. How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products--while avoiding the pitfalls inherent to the medium.
How Humans Judge Machines
Author: Cesar A. Hidalgo
Publisher: MIT Press
ISBN: 026236252X
Category : Computers
Languages : en
Pages : 257
Book Description
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.
Publisher: MIT Press
ISBN: 026236252X
Category : Computers
Languages : en
Pages : 257
Book Description
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.
Human + Machine
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.
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.
To Be a Machine
Author: Mark O'Connell
Publisher: Anchor
ISBN: 110191159X
Category : Computers
Languages : en
Pages : 258
Book Description
“This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review Transhumanism is a movement pushing the limits of our biology—of our senses, intelligence, and lifespans—with technology. Its supporters have reached a critical mass and now include some of the biggest names in Silicon Valley and beyond, among them Peter Thiel, Elon Musk, and Ray Kurzweil. In this provocative and eye-opening account, journalist Mark O’Connell explores the staggering (and terrifying) possibilities that present themselves when you think of your body as an outmoded device. He visits the world’s foremost cryonics facility to witness how some have chosen to forestall death, discovers an underground collective of biohackers boosting their senses by implanting electronics under their skin, and meets with members of a team urgently investigating how to protect mankind from rogue artificial superintelligence. In investigating what it means to be a machine, O’Connell shines a light on our ancient desire to transcend the animal condition—and offers a surprising meditation on what it means to be human.
Publisher: Anchor
ISBN: 110191159X
Category : Computers
Languages : en
Pages : 258
Book Description
“This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review Transhumanism is a movement pushing the limits of our biology—of our senses, intelligence, and lifespans—with technology. Its supporters have reached a critical mass and now include some of the biggest names in Silicon Valley and beyond, among them Peter Thiel, Elon Musk, and Ray Kurzweil. In this provocative and eye-opening account, journalist Mark O’Connell explores the staggering (and terrifying) possibilities that present themselves when you think of your body as an outmoded device. He visits the world’s foremost cryonics facility to witness how some have chosen to forestall death, discovers an underground collective of biohackers boosting their senses by implanting electronics under their skin, and meets with members of a team urgently investigating how to protect mankind from rogue artificial superintelligence. In investigating what it means to be a machine, O’Connell shines a light on our ancient desire to transcend the animal condition—and offers a surprising meditation on what it means to be human.
Your Brain Is a Time Machine: The Neuroscience and Physics of Time
Author: Dean Buonomano
Publisher: W. W. Norton & Company
ISBN: 0393247953
Category : Science
Languages : en
Pages : 357
Book Description
"Beautifully written, eloquently reasoned…Mr. Buonomano takes us off and running on an edifying scientific journey." —Carol Tavris, Wall Street Journal In Your Brain Is a Time Machine, leading neuroscientist Dean Buonomano embarks on an "immensely engaging" exploration of how time works inside the brain (Barbara Kiser, Nature). The human brain, he argues, is a complex system that not only tells time, but creates it; it constructs our sense of chronological movement and enables "mental time travel"—simulations of future and past events. These functions are essential not only to our daily lives but to the evolution of the human race: without the ability to anticipate the future, mankind would never have crafted tools or invented agriculture. This virtuosic work of popular science will lead you to a revelation as strange as it is true: your brain is, at its core, a time machine.
Publisher: W. W. Norton & Company
ISBN: 0393247953
Category : Science
Languages : en
Pages : 357
Book Description
"Beautifully written, eloquently reasoned…Mr. Buonomano takes us off and running on an edifying scientific journey." —Carol Tavris, Wall Street Journal In Your Brain Is a Time Machine, leading neuroscientist Dean Buonomano embarks on an "immensely engaging" exploration of how time works inside the brain (Barbara Kiser, Nature). The human brain, he argues, is a complex system that not only tells time, but creates it; it constructs our sense of chronological movement and enables "mental time travel"—simulations of future and past events. These functions are essential not only to our daily lives but to the evolution of the human race: without the ability to anticipate the future, mankind would never have crafted tools or invented agriculture. This virtuosic work of popular science will lead you to a revelation as strange as it is true: your brain is, at its core, a time machine.
Teaching Machines
Author: Audrey Watters
Publisher: MIT Press
ISBN: 026254606X
Category : Education
Languages : en
Pages : 325
Book Description
How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.
Publisher: MIT Press
ISBN: 026254606X
Category : Education
Languages : en
Pages : 325
Book Description
How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.
The Demon in the Machine
Author: Paul Davies
Publisher: Penguin UK
ISBN: 0241309603
Category : Science
Languages : en
Pages : 299
Book Description
'A gripping new drama in science ... if you want to understand how the concept of life is changing, read this' Professor Andrew Briggs, University of Oxford When Darwin set out to explain the origin of species, he made no attempt to answer the deeper question: what is life? For generations, scientists have struggled to make sense of this fundamental question. Life really does look like magic: even a humble bacterium accomplishes things so dazzling that no human engineer can match it. And yet, huge advances in molecular biology over the past few decades have served only to deepen the mystery. So can life be explained by known physics and chemistry, or do we need something fundamentally new? In this penetrating and wide-ranging new analysis, world-renowned physicist and science communicator Paul Davies searches for answers in a field so new and fast-moving that it lacks a name, a domain where computing, chemistry, quantum physics and nanotechnology intersect. At the heart of these diverse fields, Davies explains, is the concept of information: a quantity with the power to unify biology with physics, transform technology and medicine, and even to illuminate the age-old question of whether we are alone in the universe. From life's murky origins to the microscopic engines that run the cells of our bodies, The Demon in the Machine is a breath-taking journey across the landscape of physics, biology, logic and computing. Weaving together cancer and consciousness, two-headed worms and bird navigation, Davies reveals how biological organisms garner and process information to conjure order out of chaos, opening a window on the secret of life itself.
Publisher: Penguin UK
ISBN: 0241309603
Category : Science
Languages : en
Pages : 299
Book Description
'A gripping new drama in science ... if you want to understand how the concept of life is changing, read this' Professor Andrew Briggs, University of Oxford When Darwin set out to explain the origin of species, he made no attempt to answer the deeper question: what is life? For generations, scientists have struggled to make sense of this fundamental question. Life really does look like magic: even a humble bacterium accomplishes things so dazzling that no human engineer can match it. And yet, huge advances in molecular biology over the past few decades have served only to deepen the mystery. So can life be explained by known physics and chemistry, or do we need something fundamentally new? In this penetrating and wide-ranging new analysis, world-renowned physicist and science communicator Paul Davies searches for answers in a field so new and fast-moving that it lacks a name, a domain where computing, chemistry, quantum physics and nanotechnology intersect. At the heart of these diverse fields, Davies explains, is the concept of information: a quantity with the power to unify biology with physics, transform technology and medicine, and even to illuminate the age-old question of whether we are alone in the universe. From life's murky origins to the microscopic engines that run the cells of our bodies, The Demon in the Machine is a breath-taking journey across the landscape of physics, biology, logic and computing. Weaving together cancer and consciousness, two-headed worms and bird navigation, Davies reveals how biological organisms garner and process information to conjure order out of chaos, opening a window on the secret of life itself.
How Machines Came to Speak
Author: Jennifer Petersen
Publisher: Duke University Press
ISBN: 1478021829
Category : Social Science
Languages : en
Pages : 164
Book Description
In How Machines Came to Speak Jennifer Petersen constructs a genealogy of how legal conceptions of “speech” have transformed over the last century in response to new media technologies. Drawing on media and legal history, Petersen shows that the legal category of speech has varied considerably, evolving from a narrow category of oratory and print publication to a broad, abstract conception encompassing expressive nonverbal actions, algorithms, and data. She examines a series of pivotal US court cases in which new media technologies—such as phonographs, radio, film, and computer code—were integral to this shift. In judicial decisions ranging from the determination that silent films were not a form of speech to the expansion of speech rights to include algorithmic outputs, courts understood speech as mediated through technology. Speech thus became disarticulated from individual speakers. By outlining how legal definitions of speech are indelibly dependent on technology, Petersen demonstrates that future innovations such as artificial intelligence will continue to restructure speech law in ways that threaten to protect corporate and institutional forms of speech over the rights and interests of citizens.
Publisher: Duke University Press
ISBN: 1478021829
Category : Social Science
Languages : en
Pages : 164
Book Description
In How Machines Came to Speak Jennifer Petersen constructs a genealogy of how legal conceptions of “speech” have transformed over the last century in response to new media technologies. Drawing on media and legal history, Petersen shows that the legal category of speech has varied considerably, evolving from a narrow category of oratory and print publication to a broad, abstract conception encompassing expressive nonverbal actions, algorithms, and data. She examines a series of pivotal US court cases in which new media technologies—such as phonographs, radio, film, and computer code—were integral to this shift. In judicial decisions ranging from the determination that silent films were not a form of speech to the expansion of speech rights to include algorithmic outputs, courts understood speech as mediated through technology. Speech thus became disarticulated from individual speakers. By outlining how legal definitions of speech are indelibly dependent on technology, Petersen demonstrates that future innovations such as artificial intelligence will continue to restructure speech law in ways that threaten to protect corporate and institutional forms of speech over the rights and interests of citizens.