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Full-Text Articles in Science and Technology Law

The New State Of Surveillance: Societies Of Subjugation, Khaled Ali Beydoun Apr 2022

The New State Of Surveillance: Societies Of Subjugation, Khaled Ali Beydoun

Washington and Lee Law Review

Foundational surveillance studies theory has largely been shaped in line with the experiences of white subjects in western capitalist societies. Formative scholars, most notably Michel Foucault and Gilles Deleuze, theorized that the advancement of surveillance technology tempers the State’s reliance on mass discipline and corporal punishment. Legal scholarship examining modern surveillance perpetuates this view, and popular interventions, such as the blockbuster docudrama The Social Dilemma and Shoshana Zuboff’s bestseller The Age of Surveillance Capitalism, mainstream the myth of colorblind surveillance. However, the experiences of nonwhite subjects of surveillance—pushed to or beyond the margins of these formative discourses—reflect otherwise. …


The Computer Got It Wrong: Facial Recognition Technology And Establishing Probable Cause To Arrest, T.J. Benedict Apr 2022

The Computer Got It Wrong: Facial Recognition Technology And Establishing Probable Cause To Arrest, T.J. Benedict

Washington and Lee Law Review

Facial recognition technology (FRT) is a popular tool among police, who use it to identify suspects using photographs or still-images from videos. The technology is far from perfect. Recent studies highlight that many FRT systems are less effective at identifying people of color, women, older people, and children. These race, gender, and age biases arise because FRT is often “trained” using non-diverse faces. As a result, police have wrongfully arrested Black men based on mistaken FRT identifications. This Note explores the intersection of facial recognition technology and probable cause to arrest.

Courts rarely, if ever, examine FRT’s role in establishing …


The Golem In The Machine: Ferpa, Dirty Data, And Digital Distortion In The Education Record, Najarian R. Peters Jan 2022

The Golem In The Machine: Ferpa, Dirty Data, And Digital Distortion In The Education Record, Najarian R. Peters

Washington and Lee Law Review

Like its counterpart in the criminal justice system, dirty data—data that is inaccurate, incomplete, or misleading—in K-12 education records creates and catalyzes catastrophic life events. The presence of this data in any record suggests a lack of data integrity. The systemic problem of dirty data in education records means the data stewards of those records have failed to meet the data integrity requirements embedded in the Family Educational Rights and Privacy Act (FERPA). FERPA was designed to protect students and their education records from the negative impact of erroneous information rendered from the “private scribblings” of educators. The legislative history …