Feminist Ai

Chapters 5, 12, and 18 of this work are available under the terms of a CC BY-NC-ND 4.0 International open access licence. These parts of the work are free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations. Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. Recent years have seen both an explosion in AI systems and a corresponding rise in important critical analyses of these technologies. Central to these analyses has been feminist scholarship, which calls upon the AI sector to be accountable for designing and deploying AI in ways that further, rather than undermine, the pursuit of social justice. This book aims to be a touchstone text for AI researchers concerned with the social impact of their systems, as well as theorists, students and educators in the field of gender and technology. It demonstrates the importance of an intersectional understanding of the risks and benefits of AI, approaching feminism as a political project that aims to challenge various interlocking forms of injustice, social inequality and structural relations of power. Feminist AI showcases the vital contributions of feminist scholarship to thinking about AI, data, and intelligent machines as well as laying the groundwork for future feminist scholarship on AI. It brings together scholars from a variety of disciplinary backgrounds, from computer science, software engineering, and medical sciences to political theory, anthropology, and literature. It provides an entry point for scholars of AI, science and technology into the diversity of feminist approaches to AI, and creates a rich dialogue between scholars and practitioners of AI to examine the powerful congruences and generative tensions between different feminist approaches to new and emerging technologies. It features original and essential works specially selected to span multiple generations of practitioners and scholars. These contributors are also attuned to conversations at industry-level around the risks and possibilities that frame the drive to adopt AI. This collection reflects the increasingly blurred divide between the academy, industry and corporate research groups and brings interdisciplinary feminist insights together with postcolonial studies, disability theory, and critical race studies to confront ageism, racism, sexism, ableism, and class-based oppressions in AI.

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.

Artificial Knowing challenges the masculine slant in the Artificial Intelligence (AI) view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry Turkle, and using tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. Artificial Knowing is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI.

On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment, and implementation across the globe? This book answers this question by drawing on a range of critical approaches from the social sciences and humanities, including posthumanism, ethics and human values, surveillance studies, Black feminism, and other strategies for social and political resistance. The authors analyse timely topics, including bias and language processing, responsibility and machine learning, COVID-19 and AI in health technologies, bio-AI and nanotechnology, digital ethics, AI and the gig economy, representations of AI in literature and culture, and many more. This book is for those who are currently working in the field of AI critique and disruption as well as in AI development and programming. It is also for those who want to learn more about how to doubt, question, challenge, reject, reform and otherwise reprise AI as it been practiced and promoted.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

AI has unparalleled transformative potential to reshape society, our economies and our working lives, but without legal scrutiny, international oversight and public debate, we are sleepwalking into a future written by algorithms which encode racist, sexist and classist biases into our daily lives &– an issue that requires systemic political and cultural change to productively address. Leading privacy expert Ivana Bartoletti exposes the reality of the AI revolution, from the low-paid workers who toil to train algorithms to recognise cancerous polyps, to the rise of techno-racism and techno-chauvinism and the symbiotic relationship between AI and right wing populism. An Artificial Revolution is an essential primer to understand the intersection of technology and geopolitical forces shaping the future of civilisation.• Endorsements confirmed from leading UK political figures including David Lammy MP, Yvette Cooper MP, Paul Mason, Frances O'Grady and Ayesha Hazarika• A primer for anyone who is interested to learn more about the relation between AI and ethics, data and privacy, corporate power, politics and tech• Ivana is a sought-after commentator who has appeared on flagship news programmes on the BBC, Sky and other major broadcasters as a privacy and AI ethics expert, who also speaks at conferences around the world on AI and privacy

"This book traces the long arc of Black women's relationship with technology from the antebellum south to the social media era demonstrating how digital culture transforms and is transformed by Black feminist thought"--

Feminist Posthumanism in Contemporary Science Fiction Film and Media: From Annihilation to High Life and Beyond places posthumanism and feminist theory into dialogue with contemporary science fiction film and media. This essay collection is intimately invested in the debates around the posthuman and the critical posthumanities within a feminist critical-theoretical framework. In this posthumanist light, science fiction as a genre allows for new imaginings of human-technological relations, while it can also be the site of a critique of human exceptionalism and essentialism. In this way, science fiction affords unique opportunities for the scholarly investigation of the relevance and relative applicability of specific posthumanist themes and questions in a particularly rich and wide-ranging popular cultural field of production. One of the reasons for this suitability is the genre's historically longstanding relationship with the critical investigation of gender, specifically the position and relative empowerment of women. The original analyses presented here pay close attention to audiovisual style (including game mechanics), facilitating the critical interrogation of the issues and questions around posthumanism. Where typically the mention of SF in the posthumanist context calls to mind a whole set of (often clichéd) tropes-the cyborg, technologically augmented bodies, AI subjectivities, etc.-this volume's thirteen chapters analyze specific examples of contemporary SF cinema that engage in meaningful ways with the burgeoning field of critical posthumanism, and that utilize such films to interrogate posthumanist and feminist as well as humanistic ideas.