The Dating Divide
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The data behind a distinct form of racism in online dating The Dating Divide is the first comprehensive look at "digital-sexual racism," a distinct form of racism that is mediated and amplified through the impersonal and anonymous context of online dating. Drawing on large-scale behavioral data from a mainstream dating website, extensive archival research, and more than seventy-five in-depth interviews with daters of diverse racial backgrounds and sexual identities, Curington, Lundquist, and Lin illustrate how the seemingly open space of the internet interacts with the loss of social inhibition in cyberspace contexts, fostering openly expressed forms of sexual racism that are rarely exposed in face-to-face encounters. The Dating Divide is a fascinating look at how a contemporary conflux of individualization, consumerism, and the proliferation of digital technologies has given rise to a unique form of gendered racism in the era of swiping right--or left. The internet is often heralded as an equalizer, a seemingly level playing field, but the digital world also acts as an extension of and platform for the insidious prejudices and divisive impulses that affect social politics in the "real" world. Shedding light on how every click, swipe, or message can be linked to the history of racism and courtship in the United States, this compelling study uses data to show the racial biases at play in digital dating spaces.
Algorithms of Oppression: How Search Engines Reinforce Racism
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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.
Race after Technology
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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. Visit the book's free Discussion Guide: www.dropbox.com
Unmasking AI
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NATIONAL BESTSELLER * "The conscience of the AI revolution" (Fortune) explains how we've arrived at an era of AI harms and oppression, and what we can do to avoid its pitfalls. "AI is not coming, it's here. If we answer the beautiful call inside these pages, we can decide who we are going to be and how we're going to use technology in service of what it means to be fully human."--Brené Brown, #1 New York Times bestselling author of Dare to Lead A LOS ANGELES TIMES BEST BOOK OF THE YEAR * Shortlisted for the Inc. Non-Obvious Book Award To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making. After tinkering with robotics as a high school student in Memphis and then developing mobile apps in Zambia as a Fulbright fellow, Buolamwini followed her lifelong passion for computer science, engineering, and art to MIT in 2015. As a graduate student at the "Future Factory," she did groundbreaking research that exposed widespread racial and gender bias in AI services from tech giants across the world. Unmasking AI goes beyond the headlines about existential risks produced by Big Tech. It is the remarkable story of how Buolamwini uncovered what she calls "the coded gaze"--the evidence of encoded discrimination and exclusion in tech products--and how she galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both the tech industry and the research sector, she shows how racism, sexism, colorism, and ableism can overlap and render broad swaths of humanity "excoded" and therefore vulnerable in a world rapidly adopting AI tools. Computers, she reminds us, are reflections of both the aspirations and the limitations of the people who create them. Encouraging experts and non-experts alike to join this fight, Buolamwini writes, "The rising frontier for civil rights will require algorithmic justice. AI should be for the people and by the people, not just the privileged few."