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Privacy, Poverty, And Big Data: A Matrix Of Vulnerabilities For Poor Americans, Mary Madden, Michele E. Gilman, Karen Levy, Alice Marwick Jan 2017

Privacy, Poverty, And Big Data: A Matrix Of Vulnerabilities For Poor Americans, Mary Madden, Michele E. Gilman, Karen Levy, Alice Marwick

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This Article examines the matrix of vulnerabilities that low-income people face as a result of the collection and aggregation of big data and the application of predictive analytics. On one hand, big data systems could reverse growing economic inequality by expanding access to opportunities for low-income people. On the other hand, big data could widen economic gaps by making it possible to prey on low-income people or to exclude them from opportunities due to biases entrenched in algorithmic decision-making tools. New kinds of “networked privacy” harms, in which users are simultaneously held liable for their own behavior and the actions ...


Race, Sex And Genes At Work: Uncovering The Lessons Of Norman-Bloodsaw, Elizabeth Pendo Jan 2010

Race, Sex And Genes At Work: Uncovering The Lessons Of Norman-Bloodsaw, Elizabeth Pendo

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The Genetic Information Nondiscrimination Act of 2008 (“GINA”) is the first federal, uniform protection against the use of genetic information in both the workplace and health insurance. Signed into law on May 21, 2008, GINA prohibits an employer or health insurer from acquiring or using an individual’s genetic information, with some exceptions. One of the goals of GINA is to eradicate actual, or perceived, discrimination based on genetic information in the workplace and in health insurance. Although the threat of genetic discrimination is often discussed in universal terms - as something that could happen to any of us - the use ...