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This open access book begins with an algorithm–a set of IF...THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others.
Book Synopsis The Everyday Life of an Algorithm by : Daniel Neyland
Download or read book The Everyday Life of an Algorithm written by Daniel Neyland and published by Springer. This book was released on 2018-12-17 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book begins with an algorithm–a set of IF...THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others.
This open access book begins with an algorithm-a set of IF...THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm's design, development and testing, but can also bear witness to its fragility and dependency on others. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Book Synopsis The Everyday Life of an Algorithm by : Daniel Neyland
Download or read book The Everyday Life of an Algorithm written by Daniel Neyland and published by . This book was released on 2020-10-09 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book begins with an algorithm-a set of IF...THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm's design, development and testing, but can also bear witness to its fragility and dependency on others. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and construction of algorithms from a creative, artisanal activity into a full-fledged science in its own right. This book is aimed at all those who exploit the results of this new science, as designers and as consumers. The first chapter is an overview of the related history, demonstrating the long development of ideas such as recursion and more recent formalizations such as computability. The second chapter shows how the design of algorithms requires appropriate techniques and sophisticated organization of data. In the subsequent chapters the contributing authors present examples from diverse areas – such as routing and networking problems, Web search, information security, auctions and games, complexity and randomness, and the life sciences – that show how algorithmic thinking offers practical solutions and also deepens domain knowledge. The contributing authors are top-class researchers with considerable academic and industrial experience; they are also excellent educators and communicators and they draw on this experience with enthusiasm and humor. This book is an excellent introduction to an intriguing domain and it will be enjoyed by undergraduate and postgraduate students in computer science, engineering, and mathematics, and more broadly by all those engaged with algorithmic thinking.
Book Synopsis The Power of Algorithms by : Giorgio Ausiello
Download or read book The Power of Algorithms written by Giorgio Ausiello and published by Springer Science & Business Media. This book was released on 2013-11-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and construction of algorithms from a creative, artisanal activity into a full-fledged science in its own right. This book is aimed at all those who exploit the results of this new science, as designers and as consumers. The first chapter is an overview of the related history, demonstrating the long development of ideas such as recursion and more recent formalizations such as computability. The second chapter shows how the design of algorithms requires appropriate techniques and sophisticated organization of data. In the subsequent chapters the contributing authors present examples from diverse areas – such as routing and networking problems, Web search, information security, auctions and games, complexity and randomness, and the life sciences – that show how algorithmic thinking offers practical solutions and also deepens domain knowledge. The contributing authors are top-class researchers with considerable academic and industrial experience; they are also excellent educators and communicators and they draw on this experience with enthusiasm and humor. This book is an excellent introduction to an intriguing domain and it will be enjoyed by undergraduate and postgraduate students in computer science, engineering, and mathematics, and more broadly by all those engaged with algorithmic thinking.
'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
Book Synopsis Algorithms to Live By by : Brian Christian
Download or read book Algorithms to Live By written by Brian Christian and published by Macmillan. This book was released on 2016-04-19 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
Essays on the downsides, dysfunctions, and dangers of automated decision-making: “An excellent survey of the algorithmically managed life.” —Choice The phone systems that businesses use to screen calls. The link between student standardized test scores and public schools’ access to resources. The algorithms that regulate patient diagnoses and reimbursements to doctors. The impenetrable corporate bureaucracy that can drive customers in need of help up the wall—or drive them to suicide. The storage, sorting, and analysis of massive amounts of information have enabled the automation of decision-making at an unprecedented level. Meanwhile, computers have offered a model of cognition that increasingly shapes our approach to the world. The proliferation of “roboprocesses” is the result, as editors Catherine Besteman and Hugh Gusterson observe in this rich and wide-ranging volume, which features contributions from a distinguished cast of scholars in anthropology, communications, international studies, and political science. Though automatic processes are designed to be engines of rational systems, the stories in Life by Algorithms reveal how they can in fact produce absurd, inflexible, or even dangerous outcomes. Joining the call for “algorithmic transparency,” the contributors bring exceptional sensitivity to everyday sociality into their critique to better understand how the perils of modern technology affect finance, medicine, education, housing, the workplace, food production, public space, and emotions—not as separate problems but as linked manifestations of a deeper defect in the fundamental ordering of our society. “‘The Machine Stops,’ E. M. Forster’s 1909 science fiction story, tells the tale of a human society collapsing when the technology upon which it has become dependent fails. Think of [this] volume as ‘The Machine Starts,’ a collection of unsettling ethnographic accounts of the rise of algorithmic governance . . . A necessary and sobering call to arms.” —Stefan Helmreich, Massachusetts Institute of Technology Contributors include: Catherine Besteman * Alex Blanchette * Robert W. Gehl * Hugh Gusterson * Catherine Lutz * Ann Lutz Fernandez * Joseph Masco * Sally Engle Merry * Keesha M. Middlemass * Noelle Stout * Susan J. Terrio
Book Synopsis Life by Algorithms by : Catherine Besteman
Download or read book Life by Algorithms written by Catherine Besteman and published by University of Chicago Press. This book was released on 2019-05-23 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essays on the downsides, dysfunctions, and dangers of automated decision-making: “An excellent survey of the algorithmically managed life.” —Choice The phone systems that businesses use to screen calls. The link between student standardized test scores and public schools’ access to resources. The algorithms that regulate patient diagnoses and reimbursements to doctors. The impenetrable corporate bureaucracy that can drive customers in need of help up the wall—or drive them to suicide. The storage, sorting, and analysis of massive amounts of information have enabled the automation of decision-making at an unprecedented level. Meanwhile, computers have offered a model of cognition that increasingly shapes our approach to the world. The proliferation of “roboprocesses” is the result, as editors Catherine Besteman and Hugh Gusterson observe in this rich and wide-ranging volume, which features contributions from a distinguished cast of scholars in anthropology, communications, international studies, and political science. Though automatic processes are designed to be engines of rational systems, the stories in Life by Algorithms reveal how they can in fact produce absurd, inflexible, or even dangerous outcomes. Joining the call for “algorithmic transparency,” the contributors bring exceptional sensitivity to everyday sociality into their critique to better understand how the perils of modern technology affect finance, medicine, education, housing, the workplace, food production, public space, and emotions—not as separate problems but as linked manifestations of a deeper defect in the fundamental ordering of our society. “‘The Machine Stops,’ E. M. Forster’s 1909 science fiction story, tells the tale of a human society collapsing when the technology upon which it has become dependent fails. Think of [this] volume as ‘The Machine Starts,’ a collection of unsettling ethnographic accounts of the rise of algorithmic governance . . . A necessary and sobering call to arms.” —Stefan Helmreich, Massachusetts Institute of Technology Contributors include: Catherine Besteman * Alex Blanchette * Robert W. Gehl * Hugh Gusterson * Catherine Lutz * Ann Lutz Fernandez * Joseph Masco * Sally Engle Merry * Keesha M. Middlemass * Noelle Stout * Susan J. Terrio
This easy-to-follow introduction to computer science reveals how familiar stories like Hansel and Gretel, Sherlock Holmes, and Harry Potter illustrate the concepts and everyday relevance of computing. Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter’s world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.
Book Synopsis Once Upon an Algorithm by : Martin Erwig
Download or read book Once Upon an Algorithm written by Martin Erwig and published by MIT Press. This book was released on 2022-08-09 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-follow introduction to computer science reveals how familiar stories like Hansel and Gretel, Sherlock Holmes, and Harry Potter illustrate the concepts and everyday relevance of computing. Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter’s world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.
As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society. Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world. Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.
Book Synopsis Algorithms and the End of Politics by : Timcke, Scott
Download or read book Algorithms and the End of Politics written by Timcke, Scott and published by Bristol University Press. This book was released on 2021-02-15 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society. Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world. Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.
Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.
Book Synopsis Algorithmic Culture by : Stefka Hristova
Download or read book Algorithmic Culture written by Stefka Hristova and published by Rowman & Littlefield. This book was released on 2020-11-24 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
Book Synopsis A Human's Guide to Machine Intelligence by : Kartik Hosanagar
Download or read book A Human's Guide to Machine Intelligence written by Kartik Hosanagar and published by Penguin. This book was released on 2020-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: Algorithmic governmentality Transparency and accountability Fairness in criminal justice and predictive policing Principles of good digital administration Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society.
Book Synopsis The Algorithmic Society by : Marc Schuilenburg
Download or read book The Algorithmic Society written by Marc Schuilenburg and published by Routledge. This book was released on 2020-12-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: Algorithmic governmentality Transparency and accountability Fairness in criminal justice and predictive policing Principles of good digital administration Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society.