Author: Carl DiSalvo

Publisher: MIT Press (MA)

ISBN: 9780262017381

Category: Art

Page: 145

View: 1077

In Adversarial Design, Carl DiSalvo examines the ways thattechnology design can provoke and engage the political. He describes a practice, which he terms"adversarial design," that uses the means and forms of design to challenge beliefs,values, and what is taken to be fact. It is not simply applying design to politics--attempting toimprove governance, for example, by redesigning ballots and polling places; it is implicitlycontestational and strives to question conventional approaches to political issues. DiSalvo exploresthe political qualities and potentials of design by examining a series of projects that span designand art, engineering and computer science, agitprop and consumer products. He views these projects--which include computational visualizations of networks of power and influence, therapy robots thatshape sociability, and everyday objects embedded with microchips that enable users to circumventsurveillance--through the lens of agonism, a political theory that emphasizes contention asfoundational to democracy. Each of these projects engages one of three categories as amedium--information, robots, and ubiquitous computing--and in each of them certain distinctivequalities of computation are used for political ends or to bring forth political issues. DiSalvo'silluminating analysis aims to provide design criticism with a new approach for thinking about therelationship between forms of political expression, computation as a medium, and the processes andproducts of design.
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Author: Carl DiSalvo

Publisher: Mit Press

ISBN: 9780262528221

Category:

Page: 168

View: 3552

In Adversarial Design, Carl DiSalvo examines the ways that technology design can provoke and engage the political. He describes a practice, which he terms "adversarial design," that uses the means and forms of design to challenge beliefs, values, and what is taken to be fact. It is not simply applying design to politics--attempting to improve governance for example, by redesigning ballots and polling places; it is implicitly contestational and strives to question conventional approaches to political issues. DiSalvo explores the political qualities and potentials of design by examining a series of projects that span design and art, engineering and computer science, agitprop and consumer products. He views these projects-- which include computational visualizations of networks of power and influence, therapy robots that shape sociability, and everyday objects embedded with microchips that enable users to circumvent surveillance--through the lens of agonism, a political theory that emphasizes contention as foundational to democracy. DiSalvo's illuminating analysis aims to provide design criticism with a new approach for thinking about the relationship between forms of political expression, computation as a medium, and the processes and products of design.
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Design, Fiction, and Social Dreaming

Author: Anthony Dunne,Fiona Raby

Publisher: MIT Press

ISBN: 0262019841

Category: Art

Page: 224

View: 3516

How to use design as a tool to create not only things but ideas, to speculate about possible futures.
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Critical, Speculative, and Alternative Things

Author: Bruce M. Tharp,Stephanie M. Tharp

Publisher: Design Thinking, Design Theory

ISBN: 9780262038980

Category: Art

Page: 432

View: 5030

Exploring how design can be used for good--prompting self-reflection, igniting the imagination, and affecting positive social change. Good design provides solutions to problems. It improves our buildings, medical equipment, clothing, and kitchen utensils, among other objects. But what if design could also improve societal problems by prompting positive ideological change? In this book, Bruce and Stephanie Tharp survey recent critical design practices and propose a new, more inclusive field of socially minded practice: discursive design. While many consider good design to be unobtrusive, intuitive, invisible, and undemanding intellectually, discursive design instead targets the intellect, prompting self-reflection and igniting the imagination. Discursive design (derived from "discourse") expands the boundaries of how we can use design--how objects are, in effect, good(s) for thinking. Discursive Design invites us to see objects in a new light, to understand more than their basic form and utility. Beyond the different foci of critical design, speculative design, design fiction, interrogative design, and adversarial design, Bruce and Stephanie Tharp establish a more comprehensive, unifying vision as well as innovative methods. They not only offer social criticism but also explore how objects can, for example, be used by counselors in therapy sessions, by town councils to facilitate a pre-vote discussions, by activists seeking engagement, and by institutions and industry to better understand the values, beliefs, and attitudes of those whom they serve. Discursive design sparks new ways of thinking, and it is only through new thinking that our sociocultural futures can change.
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The Folly of Technological Solutionism

Author: Evgeny Morozov

Publisher: Public Affairs

ISBN: 1610391381

Category: Computers

Page: 415

View: 2413

Argues that technology is changing the way we understand human society and discusses how the disciplines of politics, culture, public debate, morality, and humanism will be affected when responsibility for them is delegated to technology.
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The Practice of Biophilic Design

Author: Stephen R. Kellert

Publisher: Yale University Press

ISBN: 0300214537

Category: Architecture

Page: 224

View: 7209

A gorgeously illustrated, accessible book that provides a holistic summary of the key elements for good biophilic design
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Create New Thinking by Design

Author: Kees Dorst

Publisher: MIT Press

ISBN: 0262324318

Category: Business & Economics

Page: 224

View: 4535

How organizations can use practices developed by expert designers to solve today's open, complex, dynamic, and networked problems.
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Author: Paul Rodgers,Joyce Yee

Publisher: Routledge

ISBN: 1317636252

Category: Design

Page: 522

View: 3201

The Routledge Companion to Design Research offers a comprehensive examination of design research, celebrating the plurality of design research and the wide range of conceptual, methodological, technological and theoretical approaches evident in contemporary design research. This volume comprises 39 original and high quality design research chapters from contributors around the world, with offerings from the vast array of disciplines in and around modern design praxis, including areas such as industrial and product design, visual communication, interaction design, fashion design, service design, engineering and architecture. The Companion is divided into five distinct sections with chapters that examine the nature and process of design research, the purpose of design research, and how one might embark on design research. They also explore how leading design researchers conduct their design research through formulating and asking questions in novel ways, and the creative methods and tools they use to collect and analyse data. The Companion also includes a number of case studies that illustrate how one might best communicate and disseminate design research through contributions that offer techniques for writing and publicising research. The Routledge Companion to Design Research will have wide appeal to researchers and educators in design and design-related disciplines such as engineering, business, marketing, computing, and will make an invaluable contribution to state-of-the-art design research at postgraduate, doctoral, and post-doctoral levels and teaching across a wide range of different disciplines.
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Author: Yevgeniy Vorobeychik,Murat Kantarcioglu

Publisher: Morgan & Claypool Publishers

ISBN: 168173396X

Category: Computers

Page: 169

View: 8654

The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in these applications can be a malicious party aimed at causing congestion or accidents, or may even model unusual situations that expose vulnerabilities in the prediction engine. Other applications are adversarial because their task and/or the data they use are. For example, an important class of problems in security involves detection, such as malware, spam, and intrusion detection. The use of machine learning for detecting malicious entities creates an incentive among adversaries to evade detection by changing their behavior or the content of malicius objects they develop. The field of adversarial machine learning has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation. This book provides a technical overview of this field. After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general categorization of attacks on machine learning. We then address two major categories of attacks and associated defenses: decision-time attacks, in which an adversary changes the nature of instances seen by a learned model at the time of prediction in order to cause errors, and poisoning or training time attacks, in which the actual training dataset is maliciously modified. In our final chapter devoted to technical content, we discuss recent techniques for attacks on deep learning, as well as approaches for improving robustness of deep neural networks. We conclude with a discussion of several important issues in the area of adversarial learning that in our view warrant further research. Given the increasing interest in the area of adversarial machine learning, we hope this book provides readers with the tools necessary to successfully engage in research and practice of machine learning in adversarial settings.
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Computational Approaches to Reading the Opponent’s Mind

Author: Alexander Kott,William M. McEneaney

Publisher: CRC Press

ISBN: 1420011014

Category: Computers

Page: 340

View: 4498

The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind discusses the technologies for opponent strategy prediction, plan recognition, deception discovery and planning, and strategy formulation that not only applies to security issues but also to game industry and business transactions. Addressing a broad range of practical problems, including military planning and command, military and foreign intelligence, antiterrorism, network security, as well as simulation and training systems, this reference presents an overview of each problem and then explores various approaches and applications to understand the minds and negate the actions of your opponents. The techniques discussed originate from a variety of disciplines such as stochastic processes, artificial intelligence planning, cognitive modeling, robotics and agent theory, robust control, game theory, and machine learning, among others. The beginning chapters outline the key concepts related to discovering the opponent's intent and plans while the later chapters journey into mathematical methods for counterdeception. The final chapters employ a range of techniques, including reinforcement learning within a stochastic dynamic games context to devise strategies that combat opponents. By answering specific questions on how to create practical applications that require elements of adversarial reasoning while also exploring theoretical developments, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind is beneficial for practitioners as well as researchers.
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Electronic Products, Aesthetic Experience, and Critical Design

Author: Anthony Dunne

Publisher: Mit Press

ISBN: 9780262541992

Category: Art

Page: 174

View: 9394

How design can improve the quality of our everyday lives by engaging the invisible electromagnetic environment in which we live.
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Representation, Participation, Contestation

Author: Jilly Traganou

Publisher: Routledge

ISBN: 1317226364

Category: Sports & Recreation

Page: 348

View: 454

Designing the Olympics claims that the Olympic Games provide opportunities to reflect on the relationship between design, national identity, and citizenship. The "Olympic design milieu" fans out from the construction of the Olympic city and the creation of emblems, mascots, and ceremonies, to the consumption, interpretation, and appropriation of Olympic artifacts from their conception to their afterlife. Besides products that try to achieve consensus and induce civic pride, the "Olympic design milieu" also includes processes that oppose the Olympics and their enforcement. The book examines the graphic design program for Tokyo 1964, architecture and urban plans for Athens 2004, brand design for London 2012, and practices of subversive appropriation and sociotechnical action in counter-Olympic movements since the 1960s. It explores how the Olympics shape the physical, legal and emotional contours of a host nation and its position in the world; how the Games are contested by a broader social spectrum within and beyond the nation; and how, throughout these encounters, design plays a crucial role. Recognizing the presence of multiple actors, the book investigates the potential of design in promoting equitable political participation in the Olympic context.
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Rethinking IT in the Digital Service Economy

Author: Jeff Sussna

Publisher: "O'Reilly Media, Inc."

ISBN: 1491903775

Category: Computers

Page: 232

View: 2793

Now that we’re moving from a product economy to a digital service economy, software is becoming critical for navigating our everyday lives. The quality of your service depends on how well it helps customers accomplish goals and satisfy needs. Service quality is not about designing capabilities, but about making—and keeping—promises to customers. To help you improve customer satisfaction and create positive brand experiences, this pragmatic book introduces a transdisciplinary approach to digital service delivery. Designing a resilient service today requires a unified effort across front-office and back-office functions and technical and business perspectives. You’ll learn how make IT a full partner in the ongoing conversations you have with your customers. Take a unique customer-centered approach to the entire service delivery lifecycle Apply this perspective across development, operations, QA, design, project management, and marketing Implement a specific quality assurance methodology that unifies those disciplines Use the methodology to achieve true resilience, not just stability
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Engendering Public Engagement with Urban Ecology

Author: Francis T Marchese

Publisher: Springer

ISBN: 3319151533

Category: Science

Page: 299

View: 9906

This text formally appraises the innovative ways new media artists engage urban ecology. Highlighting the role of artists as agents of technological change, the work reviews new modes of seeing, representing and connecting within the urban setting. The book describes how technology can be exploited in order to create artworks that transcend the technology’s original purpose, thus expanding the language of environmental engagement whilst also demonstrating a clear understanding of the societal issues and values being addressed. Features: assesses how data from smart cities may be used to create artworks that can recast residents’ understanding of urban space; examines transformations of urban space through the reimagining of urban information; discusses the engagement of urban residents with street art, including collaborative community art projects and public digital media installations; presents perspectives from a diverse range of practicing artists, architects, urban planners and critical theorists.
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Author: Michael King,Arie Freiberg,Becky Batagol,Ross Hyams

Publisher: Federation Press

ISBN: 1760020222

Category: Law

Page: 352

View: 5648

This book outlines key aspects of the use of non-adversarial practices in the Australian justice system with reference to similar developments in the United States, Canada, New Zealand and the United Kingdom. It examines in detail non-adversarial theories and practices such as therapeutic jurisprudence, restorative justice, preventive law, creative problem solving, holistic law, appropriate or alternative dispute resolution, collaborative law, problem-oriented courts, diversion programs, indigenous courts, coroners courts and managerial and administrative procedures.
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The Folly of Technological Solutionism

Author: Evgeny Morozov

Publisher: Public Affairs

ISBN: 1610391381

Category: Computers

Page: 415

View: 565

Argues that technology is changing the way we understand human society and discusses how the disciplines of politics, culture, public debate, morality, and humanism will be affected when responsibility for them is delegated to technology.
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Author: Anthony D. Joseph,Blaine Nelson,Benjamin I. P. Rubinstein,J.D. Tygar

Publisher: Cambridge University Press

ISBN: 9781107043466

Category: Computers

Page: 338

View: 1357

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning, and those wanting to learn about the next stage of the cybersecurity arms race.
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Author: Susan Yelavich,Barbara Adams

Publisher: Bloomsbury Publishing

ISBN: 1472574729

Category: Design

Page: 256

View: 9437

Design as Future-Making brings together leading international designers, scholars, and critics to address ways in which design is shaping the future. The contributors share an understanding of design as a practice that, with its focus on innovation and newness, is a natural ally of futurity. Ultimately, the choices made by designers are understood here as choices about the kind of world we want to live in. Design as Future-Making locates design in a space of creative and critical reflection, examining the expanding nature of practice in fields such as biomedicine, sustainability, digital crafting, fashion, architecture, urbanism, and design activism. The authors contextualize design and its affects within issues of social justice, environmental health, political agency, education, and the right to pleasure and play. Collectively, they make the case that, as an integrated mode of thought and action, design is intrinsically social and deeply political.
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Protecting Systems with Data and Algorithms

Author: Clarence Chio,David Freeman

Publisher: "O'Reilly Media, Inc."

ISBN: 1491979852

Category: Computers

Page: 386

View: 5135

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
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Author: Kuntal Ganguly

Publisher: N.A

ISBN: 9781788396417

Category: Computers

Page: 180

View: 5556

Build image generation and semi-supervised models using Generative Adversarial NetworksAbout This Book* Understand the buzz surrounding Generative Adversarial Networks and how they work, in the simplest manner possible* Develop generative models for a variety of real-world use-cases and deploy them to production* Contains intuitive examples and real-world cases to put the theoretical concepts explained in this book to practical useWho This Book Is ForData scientists and machine learning practitioners who wish to understand the fundamentals of generative models will find this book useful. Those who wish to implement Generative Adversarial Networks and their variant architectures through real-world examples will also benefit from this book. No prior knowledge of generative models or GANs is expected.What You Will Learn* Understand the basics of deep learning and the difference between discriminative and generative models* Generate images and build semi-supervised models using Generative Adversarial Networks (GANs) with real-world datasets* Tune GAN models by addressing the challenges such as mode collapse, training instability using mini batch, feature matching, and the boundary equilibrium technique.* Use stacking with Deep Learning architectures to run and generate images from text.* Couple multiple Generative models to discover relationships across various domains* Explore the real-world steps to deploy deep models in productionIn DetailGenerative models are gaining a lot of popularity among the data scientists, mainly because they facilitate the building of AI systems that consume raw data from a source and automatically builds an understanding of it. Unlike supervised learning methods, generative models do not require labeling of the data which makes it an interesting system to use. This book will help you to build and analyze the deep learning models and apply them to real-world problems. This book will help readers develop intelligent and creative application from a wide variety of datasets, mainly focusing on visuals or images.The book begins with the basics of generative models, as you get to know the theory behind Generative Adversarial Networks and its building blocks. This book will show you how you can overcome the problem of text to image synthesis with GANs, using libraries like Tensorflow, Keras and PyTorch. Transfering style from one domain to another becomes a headache when working with huge data sets. The author, using real-world examples, will show how you can overcome this. You will understand and train Generative Adversarial Networks and use them in a production environment and learn tips to use them effectively and accurately.Style and approachA step-by-step guide that will teach you the use of appropriate GAN models for image generation, editing and painting, text-to-image synthesis, image style transfer, and cross-domain discovery with Python libraries such as Tensorflow, Keras, and PyTorch.
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