- Table View
- List View
Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges (SpringerBriefs in Research and Innovation Governance)
by Doris Schroeder Rowena Rodrigues Bernd Carsten StahlThis open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.
Ethics of Big Data: Balancing Risk and Innovation
by Kord DavisWhat are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders.Review your data-handling practices and examine whether they reflect core organizational valuesExpress coherent and consistent positions on your organization’s use of big dataDefine tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over timeMaintain a balance between the benefits of innovation and the risks of unintended consequences
Ethics of Data and Analytics: Concepts and Cases
by Kirsten MartinThe ethics of data and analytics, in many ways, is no different than any endeavor to find the "right" answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized.
Ethics of Driving Automation: Artificial Agency and Human Values (Studies in Applied Philosophy, Epistemology and Rational Ethics #65)
by Fabio FossaThis book offers a systematic and thorough philosophical analysis of the ways in which driving automation crosses path with ethical values. Upon introducing the different forms of driving automation and examining their relation to human autonomy, it provides readers with in-depth reflections on safety, privacy, moral judgment, control, responsibility, sustainability, and other ethical issues. Driving is undoubtedly a moral activity as a human act. Transferring it to artificial agents such as connected and automated vehicles necessarily raises many philosophical questions. When driving is automated, what happens to its ethical dimensions? Could artificial agents accomplish ethical objectives on our behalf, take moral decisions in our place, and drive us into a more ethical transportation future? In doing so, would they be “moral” as we are or in a way that is similar to, but also remarkably different from, our own? And what role is yet to be played by human responsibility and commitment? The book addresses these questions with the aim of stimulating an interdisciplinary dialogue between different stakeholders. They include automotive engineers, computer scientists, and moral philosophers, as well as industry representatives, policymakers, regulators, transportation experts, and the general public. Indeed, connected and automated vehicles will not take the high road for us . We must drive them there.
Ethics of Information and Communication Technologies (SpringerBriefs in Applied Sciences and Technology)
by Adriano FabrisThis book discusses key ethical and deontological problems concerning the use of the most common information and communication devices. It focuses on the challenges of the new environments we now find ourselves in thanks to these technologies, and the issues arising from the newly established relationship between the virtual sphere and the real world. Each aspect is analysed by starting from a very specific example or a case study presenting a dilemma that can only be resolved by making a reasoned ethical choice. Rather than thematically addressing only one of the many aspects mentioned above (for example, computer ethics or social network ethics), the book presents a comprehensive introduction to, and a co-ordinated overview of, the various deontological and ethical issues regarding the spread of the most common information and communication technologies.
Ethics of Medical AI (The International Library of Ethics, Law and Technology #24)
by Giovanni RubeisThis is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as wellas undergraduate university courses.
Ethics of the Algorithm: Digital Humanities and Holocaust Memory
by Todd PresnerHow computational methods can expand how we see, read, and listen to Holocaust testimonyThe Holocaust is one of the most documented—and now digitized—events in human history. Institutions and archives hold hundreds of thousands of hours of audio and video testimony, composed of more than a billion words in dozens of languages, with millions of pieces of descriptive metadata. It would take several lifetimes to engage with these testimonies one at a time. Computational methods could be used to analyze an entire archive—but what are the ethical implications of &“listening&” to Holocaust testimonies by means of an algorithm? In this book, Todd Presner explores how the digital humanities can provide both new insights and humanizing perspectives for Holocaust memory and history.Presner suggests that it is possible to develop an &“ethics of the algorithm&” that mediates between the ethical demands of listening to individual testimonies and the interpretative possibilities of computational methods. He delves into thousands of testimonies and witness accounts, focusing on the analysis of trauma, language, voice, genre, and the archive itself. Tracing the affordances of digital tools that range from early, proto-computational approaches to more recent uses of automatic speech recognition and natural language processing, Presner introduces readers to what may be the ultimate expression of these methods: AI-driven testimonies that use machine learning to process responses to questions, offering a user experience that seems to replicate an actual conversation with a Holocaust survivor.With Ethics of the Algorithm, Presner presents a digital humanities argument for how big data models and computational methods can be used to preserve and perpetuate cultural memory.
Ethics, Governance, and Policies in Artificial Intelligence (Philosophical Studies Series #144)
by Luciano FloridiThis book offers a synthesis of investigations on the ethics, governance and policies affecting the design, development and deployment of artificial intelligence (AI). Each chapter can be read independently, but the overall structure of the book provides a complementary and detailed understanding of some of the most pressing issues brought about by AI and digital innovation. Given its modular nature, it is a text suitable for readers who wish to gain a reliable orientation about the ethics of AI and for experts who wish to know more about specific areas of the current debate.
Ethik künstlicher Intelligenz: Eine Topographie zur praktischen Orientierung (essentials)
by Michael FunkKünstliche Intelligenz ist zum vielschichtigen Gegenstand ethischer Debatten geworden. Ob Richtlinien fairer Digitalisierung und vertrauenswürdiger Algorithmen, Gestaltung nachhaltiger Geschäftsmodelle, informatische Grundbildung in Schulen oder Existenzfragen freiheitlich-demokratischer Gesellschaften – KI-Ethik steht vor komplexen Herausforderungen. Grundsätzlicher Klärungsbedarf entsteht durch die verschiedenen Zugänge, Interessen und Begrifflichkeiten, die aufeinandertreffen. Vorliegendes essential präsentiert auf zugängliche Weise wissenschaftliches Überblickswissen zur KI-Ethik. Als praktische Orientierungshilfe im komplexen Terrain dient eine thematische Topographie, einschließlich zentraler Begriffe. Zusammenhänge zwischen Industrie 5.0, Regulierung, Post- und Transhumanismus, selbstfahrenden Autos, moralischen Maschinen, nachhaltiger Digitalisierung oder dem Anthropozän werden mit Blick auf KI-Ethik systematisch sichtbar gemacht.
Ethnography of an Interface: Self-Tracking, Quantified Self, and the Work of Digital Connections
by Yuliya GrinbergTechnologists frequently promote self-tracking devices as objective tools. This book argues that such glib and often worrying assertions must be placed in the context of precarious industry dynamics. The author draws on several years of ethnographic fieldwork with developers of self-tracking applications and wearable devices in New York City's Silicon Alley and with technologists who participate in the international forum called the Quantified Self to illuminate the professional compromises that shape digital technology and the gap between the tech sector's public claims and its interior processes. By reconciling the business conventions, compromises, shifting labor practices, and growing employment insecurity that power the self-tracking market with device makers' often simplistic promotional claims, the book offers an understanding of the impact that technologists exert on digital discourse, on the tools they make, and on the data that these gadgets put out into the world.
Ethnomethodological Conversation Analysis in Motion: Emerging Methods and New Technologies
by Pentti Haddington, Tiina Eilittä, Antti Kamunen, Laura Kohonen-Aho, Tuire Oittinen, Iira Rautiainen and Anna VatanenThis volume discusses current and emerging trends in Ethnomethodological Conversation Analysis (EMCA). Focusing on step-by-step procedures of talk and interaction in real time, EMCA explores how people – through locally-produced, public, and common-sensical practices – accomplish activities together and thereby make sense and create social order as part of their everyday lives. The volume is divided into four parts, and it provides a timely methodological contribution by exploring new questions, settings, and recording technologies in EMCA for the study of social interaction. It addresses the methodical diversity in EMCA, including current practices as well as those testing its boundaries, and paves way for the development of future interaction research. At the same time, the book offers readers a glimpse into the ways in which human and non-human participants operate with each other and make sense of the world around them. The authors represent diverse fields of research, such as language studies, sociology, social psychology, human-computer interaction, and cognitive science. Ultimately, the book is a conversation opener that invites critical and constructive dialogue on how EMCA’s methodology and toolbox could be developed for the purpose of acquiring richer perspectives on endogenous social action. This is key reading for researchers and advanced students on a range of courses on conversation analysis, language in interaction, discourse studies, multimodality and more.
Etsy Excellence: The Simple Guide to Creating a Thriving Etsy Business
by Tycho PressThe Ambitious Crafter's Guide to a Profitable Etsy ShopMore than a marketplace, Etsy is a community—and being an active, informed member can lead to lucrative results. This book provides actionable steps to help shop owners engage the Etsy community in authentic ways that attract buyers and generate sales.The best Etsy shops stand out among the sea of sellers and a draw loyal customer base, but how they've done it isn't—and shouldn't be—a secret. In these pages, top Etsy sellers share the tools that have helped them, the changes they made that yielded positive results, and their best advice for achieving and sustaining a successful Etsy shop.Beyond sellers' words of wisdom, this book offers a roadmap all Etsy sellers can follow in order to:- Choose keywords and tags to drive traffic to your Etsy shop - Photograph your products for maximum appeal - Create a unique Etsy shop that stands out - Write winning product descriptions - Price your goods appropriately - Market your products effectively on social media platforms - Maintain lasting relationships with your Etsy customers - Diversify your Etsy product offerings
Etudes for ClojureScript
by J. David EisenbergA short composition that provides practice material for a particular musical skill is called an étude. In this hands-on book, you’ll find more than 30 études to help you practice ClojureScript skills for specific programming areas, ranging from functions and variables to asynchronous processing. Each of these small projects includes a description of a program that you will compose (write) in ClojureScript.Though not as difficult as their musical counterparts, these programming études will help you stretch beyond the material and examples that you find in most ClojureScript books or online references. One chapter features études for an open-ended project that will help you put together what you’ve learned. Solutions to each étude are revealed in the appendix.Programming areas include:Working with functions and variables with def and letInteracting with JavaScript and web pages, using several librariesLists, vectors, and higher-order map, filter, and reduce functionsData mapping with ClojureScriptUsing different ClojureScript libraries to program with ReactAdding, subtracting, multiplying, and dividing rational and complex numbers with defprotocol and defrecordAsynchronous processing with core.async
Euclidean Design Theory (SpringerBriefs in Statistics)
by Masanori Sawa Masatake Hirao Sanpei KageyamaThis book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis. It also offers original new ideas for constructing optimal designs. The book opens with some basics on reproducing kernels, and builds up to more advanced topics, including bounds for the number of cubature formula points, equivalence theorems for statistical optimalities, and the Sobolev Theorem for the cubature formula. It concludes with a functional analytic generalization of the above classical results. Although it is intended for readers who are interested in recent advances in the construction theory of optimal experimental designs, the book is also useful for researchers seeking rich interactions between optimal experimental designs and various mathematical subjects such as spherical designs in combinatorics and cubature formulas in numerical analysis, both closely related to embeddings of classical finite-dimensional Banach spaces in functional analysis and Hilbert identities in elementary number theory. Moreover, it provides a novel communication platform for “design theorists” in a wide variety of research fields.
Euclidean Shortest Paths
by Fajie Li Reinhard KletteThis unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. Discussing each concept and algorithm in depth, the book includes mathematical proofs for many of the given statements. Topics and features: provides theoretical and programming exercises at the end of each chapter; presents a thorough introduction to shortest paths in Euclidean geometry, and the class of algorithms called rubberband algorithms; discusses algorithms for calculating exact or approximate ESPs in the plane; examines the shortest paths on 3D surfaces, in simple polyhedrons and in cube-curves; describes the application of rubberband algorithms for solving art gallery problems, including the safari, zookeeper, watchman, and touring polygons route problems; includes lists of symbols and abbreviations, in addition to other appendices.
Euro-Par 2015: Parallel Processing
by Sascha Hunold Jesper Larsson Träff Francesco VersaciThis book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.
Euro-Par 2015: Parallel Processing Workshops
by Michael Alexander Sascha Hunold Alexandru Costan Domingo Giménez Alexandru Iosup Laura Ricci María Engracia Gómez Requena Vittorio Scarano Ana Lucia Varbanescu Stephen L. Scott Stefan Lankes Josef WeidendorferThis book constitutes the thoroughly refereedpost-conference proceedings of 12 workshops held at the 21st InternationalConference on Parallel and Distributed Computing, Euro-Par 2015, in Vienna,Austria, in August 2015. The 67 revised full papers presented were carefully reviewedand selected from 121 submissions. The volume includes papers from thefollowing workshops: BigDataCloud: 4th Workshop on Big Data Management inClouds - Euro-EDUPAR: First European Workshop on Parallel and DistributedComputing Education for Undergraduate Students - Hetero Par: 13th InternationalWorkshop on Algorithms, Models and Tools for Parallel Computing onHeterogeneous Platforms - LSDVE: Third Workshop on Large Scale DistributedVirtual Environments - OMHI: 4th International Workshop on On-chip MemoryHierarchies and Interconnects - PADAPS: Third Workshop on Parallel andDistributed Agent-Based Simulations - PELGA: Workshop on PerformanceEngineering for Large-Scale Graph Analytics - REPPAR: Second InternationalWorkshop on Reproducibility in Parallel Computing - Resilience: 8th Workshop onResiliency in High Performance Computing in Clusters, Clouds, and Grids - ROME:Third Workshop on Runtime and Operating Systems for the Many Core Era - UCHPC:8th Workshop on UnConventional High Performance Computing - and VHPC: 10thWorkshop on Virtualization in High-Performance Cloud Computing.
Euro-Par 2016: Parallel Processing
by Pierre-François Dutot Denis TrystramThis book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France, in August 2016. The 47 revised full papers presented together with 2 invited papers and one industrial paper were carefully reviewed and selected from 176 submissions. The papers are organized in 12 topical sections: Support Tools and Environments; Performance and Power Modeling, Prediction and Evaluation; Scheduling and Load Balancing; High Performance Architectures and Compilers; Parallel and Distributed Data Management and Analytics; Cluster and Cloud Computing; Distributed Systems and Algorithms; Parallel and Distributed Programming, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods and Applications; Accelerator Computing.
Euro-Par 2017: Euro-par 2017 International Workshops, Santiago De Compostela, Spain, August 28-29, 2017, Revised Selected Papers (Lecture Notes in Computer Science #10659)
by Luc Bougé Dora B. HerasThis book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela. Spain in August 2017. The 59 full papers presented were carefully reviewed and selected from 119 submissions.Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.
Euro-Par 2018: 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings (Lecture Notes in Computer Science #11014)
by Massimo Torquati Marco Aldinucci Luca PadovaniThis book constitutes the proceedings of the 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, held in Turin, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architecutres and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore methods and tools; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; and accelerator computing for advanced applications.
Euro-Par 2018: Parallel Processing Workshops (Lecture Notes in Computer Science #11339)
by Emmanuel Jeannot Laura Ricci Stephen L. Scott Dora B. Heras Gabriele Mencagli Valeria Cardellini Emiliano Casalicchio Felix Wolf Antonio Salis Claudio Schifanella Ravi Reddy Manumachu Marco Beccuti Laura Antonelli José Daniel Garcia SanchezThis book constitutes revised selected papers from of the workshops held at 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, which took place in Turin, Italy, in August 2018. The 64 full papers presented in this volume were carefully reviewed and selected from 109 submissions.Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects. Brand: Springer.
Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings (Lecture Notes in Computer Science #11725)
by Ramin YahyapourThis book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019. The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator computing; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities.
Euro-Par 2019: Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11997)
by Thomas Gruber Emmanuel Jeannot Laura Ricci Stephen L. Scott Dieter Schwamborn Dora B. Heras Valeria Cardellini Antonio Salis Claudio Schifanella Ravi Reddy Manumachu Laura Antonelli Ulrich Schwardmann Christian Boehme Oh SangyoonThis book constitutes revised selected papers from the workshops held at 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, which took place in Göttingen, Germany, in August 2019. The 53 full papers and 10 poster papers presented in this volume were carefully reviewed and selected from 77 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects. Chapter "In Situ Visualization of Performance-Related Data in Parallel CFD Applications" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Euro-Par 2020: 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings (Lecture Notes in Computer Science #12247)
by Maciej Malawski Krzysztof RzadcaThis book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from 158 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; parallel numerical methods and applications; and accelerator computing.
Euro-Par 2020: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12480)
by Thomas Gruber Michael Kuhn Roman Wyrzykowski Stephen L. Scott Andrea Bracciali Dora B. Heras Laura Antonelli Bartosz Balis Jin Hyun-Wook Didem UnatThis book constitutes revised selected papers from the workshops held at the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, which took place in Warsaw, Poland, in August 2020. The workshops were held virtually due to the coronavirus pandemic.The 27 full papers presented in this volume were carefully reviewed and selected from 50 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.