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Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives
Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives offers insight into social and ethical challenges presented by modern technology. Aimed at students and practitioners in the rapidly growing field of information assurance and security, this book address issues of privacy, access, safety, liability and reliability in a manner that asks readers to think about how the social context is shaping technology and how technology is shaping social context and, in so doing, to rethink conceptual boundaries.
DATA SCIENCE ETHICS AND RESPONSIBLE AIEITHICAL CONSIDERATIONS IN DATA SCIENCE AND AI
It is possible to assert that we have now fully entered the era of artificial intelligence (AI), given the current state of technology and society. Whether or not we are aware of its presence, a growing proportion of the activities that comprise our day-to-day lives include the application of technology that makes use of artificial intelligence. AI can be found in our "smart" phones and TVs, personalized recommendations for products in online shops or other businesses use AI techniques, natural language processing can be used for automatic translation, voice recognition, and generation, and the intelligent assistants of Google, Amazon, Apple, and Microsoft (such as Alexa, Siri, and Cortana) ...
Emerging Pervasive Information and Communication Technologies (PICT)
This book provides a wide and deep perspective on the ethical issues raised by pervasive information and communication technology (PICT) – small, powerful, and often inexpensive Internet-connected computing devices and systems. It describes complex and unfamiliar technologies and their implications, including the transformative potential of augmented reality, the power of location-linked information, and the uses of “big data,” and explains potential threats, including privacy invaded, security violated, and independence compromised, often through widespread and lucrative manipulation. PICT is changing how we live, providing entertainment, useful tools, and life-saving systems. But the...
Ethical IT Innovation
Explaining how ubiquitous computing is rapidly changing our private and professional lives, Ethical IT Innovation: A Value-Based System Design Approach stands at the intersection of computer science, philosophy, and management and integrates theories and frameworks from all three domains.The book explores the latest thinking on computer ethics, inc
Personalised Medicine, Individual Choice and the Common Good
Asks whether personalised medicine is superior to 'one-size-fits-all' treatment. Does it elevate individual choice above the common good?
How Artifacts Afford
A conceptual update of affordance theory that introduces the mechanisms and conditions framework, providing a vocabulary and critical perspective. Technological affordances mediate between the features of a technology and the outcomes of engagement with that technology. The concept of affordances, which migrated from psychology to design with Donald Norman's influential 1988 book, The Design of Everyday Things, offers a useful analytical tool in technology studies—but, Jenny Davis argues in How Artifacts Afford, it is in need of a conceptual update. Davis provides just such an update, introducing the mechanisms and conditions framework, which offers both a vocabulary and necessary critical...
Big Data, Little Data, No Data
An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, i...
Postcritical Management Studies
This book is the first of its kind to offer a new definition of contemporary management. It uses Henrys philosophy and takes the real, sensitive and pathetic subjectivity of individuals as the starting point of the analysis as opposed to the usual large categories of representations; resources; images; and discourses. This book thus proposes to rethink management by insisting on the dialectic of strength and vulnerability; its power of constraint, imitation and imagination; and finally its framework of action situated in a fourfold concern for the self, for people, for institutions and for the environment. These different notions are useful in order to experience a deeper understanding of management that is free from the obsolescence of the distant recommendations of ancient protomanagement and the outdated and dubious prescriptions of the so-called scientific management.
Showing and Telling: Film heritage institutes and their performance of public accountability
'Showing and Telling' is the first academic work to explore how publicly funded film heritage institutes account for their mandate in their public activities. It does that by inspecting and evaluating public presentations and visitor information about these presentations. The research was done by juxtaposing two complementary approaches. The first is grounded in the author’s experience as a collection researcher and curator and makes a case for the richness of archival objects usually ignored for their lack of aesthetic qualities. The second is a survey of the public activities of 24 institutes worldwide, based on their websites, in February 2014; the latter constitutes a unique source. Th...
Human-Centered Data Science
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and present...
