Algorithms of Oppression


Book Description

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author




Algorithms of Oppression


Book Description

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.




Algorithms of Oppression


Book Description

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author




Pattern Discrimination


Book Description

How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection. Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?




On Race


Book Description

The recent barrage of racially motivated killings, violent antagonisms, and conflagrations has left many Americans reeling in the face of a so-called post-racial reality. In thirty-four interviews--some previously unpublished and others originally conducted for The New York Times' philosophy column The Stone, but presented here unedited and with supporting materials--philosopher George Yancy critically engages some of the most influential thinkers alive today in order to highlight their most crucial insights into understanding the multifaceted dimensions of race in the United States.




Real Black


Book Description

New York's urban neighborhoods are full of young would-be emcees who aspire to "keep it real" and restaurants like Sylvia's famous soul food eatery that offer a taste of "authentic" black culture. In these and other venues, authenticity is considered the best way to distinguish the real from the phony, the genuine from the fake. But in Real Black, John L. Jackson Jr. proposes a new model for thinking about these issues--racial sincerity. Jackson argues that authenticity caricatures identity as something imposed on people, imprisoning them within stereotypes--turning them into racial objects and inanimate things, instead of living, breathing human beings. Contending that such assumptions deny people agency--not to mention humanity--in their search for identity, Jackson counterposes sincerity, an internal and more productive analytical model for thinking about race. Moving in and around Harlem and Brooklyn, Jackson offers a kaleidoscope of subjects and stories that directly and indirectly address how race is negotiated in today's world--including tales of name-changing hip-hop emcees, book-vending numerologists, urban conspiracy theorists, corrupt police officers, mixed-race neo-Nazis, and high-school gospel choirs forbidden to catch the Holy Ghost. Enlisting "Anthroman," his cape-crusading critical alter ego, Jackson records and retells these interconnected sagas in virtuosic detail and, in the process, shows us how race is defined and debated, imposed and confounded every single day.




Data Feminism


Book Description

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.




The Hollywood Jim Crow


Book Description

The story of racial hierarchy in the American film industry The #OscarsSoWhite campaign, and the content of the leaked Sony emails which revealed, among many other things, that a powerful Hollywood insider didn’t believe that Denzel Washington could “open” a western genre film, provide glaring evidence that the opportunities for people of color in Hollywood are limited. In The Hollywood Jim Crow, Maryann Erigha tells the story of inequality, looking at the practices and biases that limit the production and circulation of movies directed by racial minorities. She examines over 1,300 contemporary films, specifically focusing on directors, to show the key elements at work in maintaining “the Hollywood Jim Crow.” Unlike the Jim Crow era where ideas about innate racial inferiority and superiority were the grounds for segregation, Hollywood’s version tries to use economic and cultural explanations to justify the underrepresentation and stigmatization of Black filmmakers. Erigha exposes the key elements at work in maintaining Hollywood’s racial hierarchy, namely the relationship between genre and race, the ghettoization of Black directors to black films, and how Blackness is perceived by the Hollywood producers and studios who decide what gets made and who gets to make it. Erigha questions the notion that increased representation of African Americans behind the camera is the sole answer to the racial inequality gap. Instead, she suggests focusing on the obstacles to integration for African American film directors. Hollywood movies have an expansive reach and exert tremendous power in the national and global production, distribution, and exhibition of popular culture. The Hollywood Jim Crow fully dissects the racial inequality embedded in this industry, looking at alternative ways for African Americans to find success in Hollywood and suggesting how they can band together to forge their own career paths.




Race After Technology


Book Description

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




Mind Over Machine


Book Description

Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms.