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Full-Text Articles in Law
Data-Driven Discrimination At Work, Pauline T. Kim
Data-Driven Discrimination At Work, Pauline T. Kim
AI-DR Collection
A data revolution is transforming the workplace. Employers are increasingly relying on algorithms to decide who gets interviewed, hired, or promoted. Although data algorithms can help to avoid biased human decision-making, they also risk introducing new sources of bias. Algorithms built on inaccurate, biased, or unrepresentative data can produce outcomes biased along lines of race, sex, or other protected characteristics. Data mining techniques may cause employment decisions to be based on correlations rather than causal relationships; they may obscure the basis on which employment decisions are made; and they may further exacerbate inequality because error detection is limited and feedback …
Coaches In Court: Legal Challenges To Sex Discrimination In College Athletics, Erin E. Buzuvis
Coaches In Court: Legal Challenges To Sex Discrimination In College Athletics, Erin E. Buzuvis
Faculty Scholarship
Sex discrimination continues to operate in the working environment of college athletics. Female coaches experience bias both because of their sex and the intersections of gender stereotypes with stereotypes about women of color, lesbians, and aging. The law continues to be a leverage to challenge barriers to women’s leadership in college sports. This Article provides an overview of the relevant legal protections in three cases brought by coaches Beth Burns, Tracey Griesbaum, and Shannon Miller. Their cases expose discrimination and the double standard related to the value of female coaches’ success.
Transsexual, Transgender, Trans: Reading Judicial Nomenclature In Title Vii Cases, Kris Franklin, Sarah Chinn
Transsexual, Transgender, Trans: Reading Judicial Nomenclature In Title Vii Cases, Kris Franklin, Sarah Chinn
Articles & Chapters
No abstract provided.
Employer Liability For Non-Employee Discrimination, Dallan F. Flake
Employer Liability For Non-Employee Discrimination, Dallan F. Flake
Law Faculty Scholarship
No abstract provided.
The Impact Of Wal-Mart V. Dukes On Employment Discrimination Class Actions Five Years Out: A Forecast That Suggests More Of A Wave Than A Tsunami, Suzette M. Malveaux
The Impact Of Wal-Mart V. Dukes On Employment Discrimination Class Actions Five Years Out: A Forecast That Suggests More Of A Wave Than A Tsunami, Suzette M. Malveaux
Publications
No abstract provided.
People Analytics And Invisible Labor, Miriam A. Cherry
People Analytics And Invisible Labor, Miriam A. Cherry
All Faculty Scholarship
This article explores two trends in labor and employment law: people analytics and invisible labor. People analytics includes the practice of employers using quantitative data to make objective decisions regarding employees. Invisible labor includes work that is unrecognized because it involves emotional work, or that is hidden due to the intermediation of technology. The article then discusses the paradox of the two trends. As people analytics relies on data for decision-making, how can employers use data analytics if there are increasingly invisible components to work? The article considers solutions: should people analytics include components of hidden labor, explicitly recognize and …