This book brings feminist philosophy, in the shape of feminist ethics, politics and legal theory, to an analysis of computer ethics problems including hacking, privacy, surveillance, cyberstalking and Internet dating. Adam claims that these issues cannot be properly understood unless we see them as problems relating to gender. For the first time, these issues are put under the feminist spotlight to show that traditional responses reproduce the public/private split which has so often reinforced the causes of women's oppression.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

"This two volume set includes 213 entries with over 4,700 references to additional works on gender and information technology"--Provided by publisher.

Written in an accessible style with comprehensive coverage, the Handbook of Gender and Technology provides an excellent foundation examining gender equity in technology fields. Covering the state of the art, chapters consider three key influences – environmental, identity and individual – to highlight interventions to address the gender gap in technology.

This handbook provides an accessible overview of the most important issues in information and computer ethics. It covers: foundational issues and methodological frameworks; theoretical issues affecting property, privacy, anonymity, and security; professional issues and the information-related professions; responsibility issues and risk assessment; regulatory issues and challenges; access and equity issues. Each chapter explains and evaluates the central positions and arguments on the respective issues, and ends with a bibliography that identifies the most important supplements available on the topic.

This is the first textbook on the central ethical issues of digital media, ranging from computers and the Internet to mobile phones. It is also the first book of its kind to consider these issues from a global perspective, introducing ethical theories from multiple cultures. It further utilizes examples from around the world, such as the publication of "the Mohammed Cartoons"; diverse understandings of what "privacy" means in Facebook or MySpace; why pirating CDs and DVDs may be justified in developing countries; and culturally-variable perspectives on sexuality and what counts as "pornography." Readers and students thus acquire a global perspective on the central ethical issues of digital media, including privacy, copyright, pornography and violence, and the ethics of cross-cultural communication online. The book is designed for use across disciplines - media and communication studies, computer science and informatics, as well as philosophy. It is up-to-date, accessible and student- and classroom-friendly: each topic and theory is interwoven throughout the volume with detailed sets of questions that foster careful reflection, writing, and discussion into these issues and their possible resolutions. Each chapter further includes additional resources and suggestions for further research and writing.

Presents theories and models associated with information privacy and safeguard practices to help anchor and guide the development of technologies, standards, and best practices. Provides recent, comprehensive coverage of all issues related to information security and ethics, as well as the opportunities, future challenges, and emerging trends related to this subject.

This book of readings is a flexible resource for undergraduate and graduate courses in the evolving fields of computer and Internet ethics. Each selection has been carefully chosen for its timeliness and analytical depth and is written by a well-known expert in the field. The readings are organized to take students from a discussion on ethical frameworks and regulatory issues to a substantial treatment of the four fundamental, interrelated issues of cyberethics: speech, property, privacy, and security. A chapter on professionalism rounds out the selection. This book makes an excellent companion to CyberEthics: Morality and Law in Cyberspace, Third Edition by providing articles that present both sides of key issues in cyberethics.

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

"Technologies of Gender builds a bridge between the fashionable orthodoxies of academic theory (Lacan, Foucault, Derrida, et al.) and the frequently-marginalized contributions of feminist theory. . . . In sum, de Lauretis has written a book that should be required reading for every feminist in need of theoretical ammunition—and for every theorist in need of feminist enlightenment." —B. Ruby Rich " . . . sets philosophical ideas humming. . . . she has much to say." —Cineaste "I can think of no other work that pushes the debate on the female subject forward with such passion and intellectual rigor." —SubStance This book addresses the question of gender in poststructuralist theoretical discourse, postmodern fiction, and women's cinema. It examines the construction of gender both as representation and as self-representation in relation to several kinds of texts and argues that feminism is producing a radical rewriting, as well as a rereading, of the dominant forms of Western culture.