Dr. Hina Shaikh, Center for Gender, Sexualities and Women's Studies Research
"Dr. Hina Shaikh is a feminist and ethnic studies scholar whose work examines the alternative gendered and geographic imaginings of data, archival fictions, space, and place. This work includes analysis of biometric data collection by the United Nations High Commissioner for Refugees (UNHCR) from Muslim women and analysis of the Tennessee Integrated Traffic Analysis Network (TITAN)predictive software and its reallocation of policing resources. Dr.Shaikh will bring her expertise to teaching core courses as well as courses in AI, data science, and data analytics, including courses such as Data Feminism and Gender, Race, and Science."
Jasmine McNealy, University of Florida College of Journalism and Communications, Associate Director of the Marion B. Brechner First Amendment Project and Telecommunication associate professor, has been named one of the “2021-100 Brilliant Women in AI Ethics” during the virtual Women in AI Ethics Summit held Dec. 3-5.
Coded Bias"CODED BIAS explores the fallout of MIT media lab researcher Joy Buolamwini's startling discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all. "
Call Number: eBook and print UF LIBRARY WEST General Collection -- ZA4230 .N63 2018
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance--operating as a source for email, a major vehicle for primary and secondary school learning, and beyond--understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.
An Analysis of Donna Haraway's a Cyborg Manifesto by Christien Garcia; Rebecca Pohl
Call Number: UF LIBRARY WEST General Collection -- BD450 .P64 2018
Haraway's 'A Cyborg Manifesto' is a key postmodern text and is widely taught in many disciplines as one of the first texts to embrace technology from a leftist and feminist perspective using the metaphor of the cyborg to champion socialist, postmodern, and anti-identitarian politics. Until Haraway's work, few feminists had turned to theorizing science and technology and thus her work quite literally changed the terms of the debate. This article continues to be seen as hugely influential in the field of feminism, particularly postmodern, materialist, and scientific strands. It is also a precursor to cyberfeminism and posthumanism and perhaps anticipates the development of digital humanities.
Call Number: UF LIBRARY WEST General Collection -- HQ1233 .A33 1997
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.
In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally-hiring, driving, paying bills, even choosing romantic partners-that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.Making a case against technochauvinism-the belief that technology is always the solution-Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.
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.
This companion is a cutting-edge primer to critical forms of the posthumanities and the feminist posthumanities, aimed at students and researchers who want to catch up with the recent theoretical developments in various fields in the humanities, such as new media studies, gender studies, cultural studies, science and technology studies, human animal studies, postcolonial critique, philosophy and environmental humanities. It contains a collection of nineteen new and original short chapters introducing influential concepts, ideas and approaches that have shaped and developed new materialism, inhuman theory, critical posthumanism, feminist materialism, and posthuman philosophy. A resource for students and teachers, this comprehensive volume brings together established international scholars and emerging theorists, for timely and astute definitions of a moving target - posthuman humanities and feminist posthumanities.
Feminist Technology by Linda L. Layne (Editor); Sharra Vostral (Editor); Kate Boyer (Editor)
Call Number: UF LIBRARY WEST General Collection -- HQ1190 .F46315 2010
Is there such a thing as a "feminist technology"? If so, what makes a technology feminist? Is it in the design process, in the thing itself, in the way it is marketed, or in the way it is used by women (or by men)? In this collection, feminist scholars trained in diverse fields consider these questions by examining a range of products, tools, and technologies that were specifically designed for and marketed to women. Evaluating the claims that such products are liberating for women, the contributors focus on case studies of menstrual-suppressing birth control pills, home pregnancy tests, tampons, breast pumps, Norplant, anti-fertility vaccines, and microbicides. In examining these various products, this volume explores ways of actively intervening to develop better tools for designing, promoting, and evaluating feminist technologies. Recognizing the different needs and desires of women and acknowledging the multiplicity of feminist approaches, Feminist Technology offers a sustained debate on existing and emergent technologies that share the goal of improving women's lives.
Furious: technological feminism and digital futures by Caroline Bassett; Sarah Kember; Kate O'Riordan
Call Number: UF LIBRARY WEST -- HQ1178 .B37 2020
As digital transformations continue to accelerate in the world, discourses of big data have come to dominate in a number of fields, from politics and economics, to media and education. But how can we really understand the digital world when so much of the writing through which we grapple with it remains deeply problematic?In a compelling new work of feminist critical theory, Bassett, Kember and O'Riordan scrutinise many of the assumptions of a masculinist digital world, highlighting the tendency of digital humanities scholarship to venerate and essentialise technical forms, and to adopt gendered writing and citation practices. Contesting these writings, practices and politics, the authors foreground feminist traditions and contributions to the field, offering alternative modes of knowledge production, and a radically different, poetic writing style.Through this prism, Furious brings into focus themes including the automation of home and domestic work, the Anthropocene, and intersectional feminist technofutures.
Introduction to Intersectional Qualitative Research by Jennifer Esposito; Venus E. Evans-Winters
Call Number: UF Architecture & Fine Arts Library Available , General Collection H62 .E737 2022
Introduction to Intersectional Qualitative Research, by Jennifer Esposito and Venus Evans-Winters, introduces students and new researchers to the basic aspects of qualitative research including research design, data collection, and analysis, in a way that allows intersectional concerns to be infused throughout the research process.
Winner of the 2019 Financial Times and McKinsey Business Book of the Year Award Winner of the 2019 Royal Society Science Book Prize. Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women, diving into women's lives at home, the workplace, the public square, the doctor's office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.
Electrifying, provocative, and controversial when first published thirty years ago, Donna Haraway's "Cyborg Manifesto" is even more relevant today, when the divisions that she so eloquently challenges--of human and machine but also of gender, class, race, ethnicity, sexuality, and location--are increasingly complex. The subsequent "Companion Species Manifesto," which further questions the human-nonhuman disjunction, is no less urgently needed in our time of environmental crisis and profound polarization. Manifestly Haraway brings together these momentous manifestos to expose the continuity and ramifying force of Haraway's thought, whose significance emerges with engaging immediacy in a sustained conversation between the author and her long-term friend and colleague Cary Wolfe. Reading cyborgs and companion species through and with each other, Haraway and Wolfe join in a wide-ranging exchange on the history and meaning of the manifestos in the context of biopolitics, feminism, Marxism, human-nonhuman relationships, making kin, literary tropes, material semiotics, the negative way of knowing, secular Catholicism, and more. The conversation ends by revealing the early stages of Haraway's "Chthulucene Manifesto," in tension with the teleologies of the doleful Anthropocene and the exterminationist Capitalocene. Deeply dedicated to a diverse and robust earthly flourishing, Manifestly Haraway promises to reignite needed discussion in and out of the academy about biologies, technologies, histories, and still possible futures.
Open-access edition: DOI 10.6069/j163-3c90 In Molecular Feminisms, Roy investigates science as feminism at the lab bench, engaging in an interdisciplinary conversation between molecular biology, Deleuzian philosophies, posthumanism, and postcolonial and decolonial studies. She brings insights from feminist theory together with lessons learned from bacteria, subcloning, and synthetic biology, arguing that renewed interest in matter and materiality must be accompanied by a feminist rethinking of scientific research methods and techniques.
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."
Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data? This important book is the first to look at queer data - defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people. Guyan demonstrates why it is important to understand, collect and analyse queer data, the benefits and challenges involved in doing so, and how we might better use queer data in our work. Arming us with the tools for action, this book shows how greater knowledge about queer identities is instrumental in informing decisions about resource allocation, changes to legislation, access to services, representation and visibility.
Queer Feminist Science Studies by Cyd Cipolla (Editor); Kristina Gupta (Editor); David A. Rubin (Editor); Angela Willey (Editor)
Call Number: UF LIBRARY WEST General Collection -- HQ76.25 .Q369 2017
Queer Feminist Science Studies takes a transnational, trans-species, and intersectional approach to this cutting-edge area of inquiry between women's, gender, and sexuality studies and science and technology studies (STS). The essays here ?queer'or denaturalize and make strange'ideas that are taken for granted in both areas of study. Reimagining the meanings of and relations among queer and feminist theories and a wide range of scientific disciplines, contributors foster new critical and creative knowledge-projects that attend to shifting and uneven operations of power, privilege, and dispossession, while also highlighting potentialities for uncertainty, subversion, transformation, and play. Theoretically and rhetorically powerful, these essays also take seriously the materiality of ?natural? objects and phenomena: bones, voles, chromosomes, medical records and more all help substantiate answers to questions such as, What is sex? How are race, gender, sexuality, and other systems of differences co-constituted? The foundational essays and new writings collected here offer a generative resource for students and scholars alike, demonstrating the ingenuity and dynamism of queer feminist scholarship.
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the "New Jim Code," she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.
Technologies of the Gendered Body by Anne Balsamo
Call Number: UF LIBRARY WEST General Collection -- HQ1190 .B35 1996
This book takes the process of "reading the body" into the fields at the forefront of culture--the vast spaces mapped by science and technology--to show that the body in high-tech is as gendered as ever. From female body building to virtual reality, from cosmetic surgery to cyberpunk, from reproductive medicine to public health policies to TV science programs, Anne Balsamo articulates the key issues concerning the status of the body for feminist cultural studies in a postmodern world. Technologies of the Gendered Body combines close readings of popular texts--such as Margaret Atwood's novel The Handmaid's Tale, the movie Pumping Iron II: The Women, cyberpunk magazines, and mass media--with analyses of medical literature, public policy documents, and specific technological practices. Balsamo describes the ways in which certain biotechnologies are ideologically shaped by gender considerations and other beliefs about race, physical abilities, and economic and legal status. She presents a view of the conceptual system that structures individuals' access to and participation in these technologies, as well as an overview of individuals' rights and responsibilities in this sometimes baffling area. Examining the ways in which the body is gendered in its interactions with new technologies of corporeality, Technologies of the Gendered Body counters the claim that in our scientific culture the material body has become obsolete. With ample evidence that the techno-body is always gendered and marked by race, this book sets the stage for a renewed feminist engagement with contemporary technological narratives.
Women, Science, and Technology is an ideal reader for courses in feminist science studies. This third edition fully updates its predecessor with a new introduction and twenty-eight new readings that explore social constructions mediated by technologies, expand the scope of feminist technoscience studies, and move beyond the nature/culture paradigm.
WINNER: The 2019 Lillian Smith Book Award, 2018 McGannon Center Book Prize, and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Dorothy Roberts, author of Killing the Black Body: "A must-read." A powerful investigative look at data-based discrimination?and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years--because a new computer system interprets any mistake as "failure to cooperate." In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems--rather than humans--control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.
Gender equality and the empowerment of women and girls, one of the Sustainable Development Goals, is a highly complex and challenging undertaking. We must address multiple issues, discrimination, violence, education, employment, economic resources, and technology, and work across economic sectors, from agriculture to financial services. Achieving gender equality will require significant amounts of accurate data about the situations and struggles of women and girls. Globally, however, there is a major gap in data that is disaggregated by sex, and this gap often renders women’s societal, cultural, and economic contributions and obstacles practically invisible. It can also exacerbate existing gender divides, feeding and reinforcing biases in social programs, access to financial and other services, economic opportunities, and even development programs designed to address gender inequality. Part of the solution may be in the form of big data, which, if used effectively, can provide the volume of data needed to portray women and their situations accurately, which in turn can inform the creation of evidence-based solutions.