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Antidiscriminatory Algorithms, Stephanie Bornstein
Antidiscriminatory Algorithms, Stephanie Bornstein
UF Law Faculty Publications
Can algorithms be used to advance equality goals in the workplace? A handful of legal scholars have raised concerns that the use of big data at work may lead to protected class discrimination that could fall outside the reach of current antidiscrimination law. Existing scholarship suggests that, because algorithms are “facially neutral,” they pose no problem of unequal treatment. As a result, algorithmic discrimination cannot be challenged using a disparate treatment theory of liability under Title VII of the Civil Rights Act of 1964 (Title VII). Instead, it presents a problem of unequal outcomes, subject to challenge using Title VII’s …
The Statutory Public Interest In Closing The Pay Gap, Stephanie Bornstein
The Statutory Public Interest In Closing The Pay Gap, Stephanie Bornstein
UF Law Faculty Publications
This Essay explores the role that the statutory public interest should play in the enforcement of rights under the Equal Pay Act of 1963 (EPA). Current data shows that, even fifty-five years after the enactment of federal law outlawing sex based pay discrimination, the gender pay gap inflicts huge costs on women, their families, and the U.S. economy, echoing the public concerns that led to the statute’s original passage. That Fair Labor Standards Act of 1938 (FLSA) and EPA rights cannot be waived by an employee calls into question two common employer pay-setting practices often excused under federal law: setting …