Law Commons^™

Border Enforcement And Civil Rights Along The Texas-Mexico Border, Esther Reyes

Latino Public Policy

Over the past two decades, spending on enforcement along the southwestern border of the United States has expanded dramatically. The annual budget of the U.S. Border Patrol, increased from $400 million in fiscal year 1994 to $3.8 billion in fiscal year 2017. During this period, the number of Border Patrol agents stationed along the U.S.Mexico border grew by nearly 450 percent, from 3,747 to over 16,605 agents. Meanwhile, apprehensions of unauthorized migrants along the U.S.-Mexico border declined from 979,101 in 1994 to 303,916 in 2017.

These expansions and the accompanying declines in immigrant populations and apprehensions have raised concerns about …

The Technologies Of Race: Big Data, Privacy And The New Racial Bioethics, Christian Sundquist

Articles

Advancements in genetic technology have resurrected long discarded conceptualizations of “race” as a biological reality. The rise of modern biological race thinking – as evidenced in health disparity research, personal genomics, DNA criminal forensics, and bio-databanking - not only is scientifically unsound but portends the future normalization of racial inequality. This Article articulates a constitutional theory of shared humanity, rooted in the substantive due process doctrine and Ninth Amendment, to counter the socio-legal acceptance of modern genetic racial differentiation. It argues that state actions that rely on biological racial distinctions undermine the essential personhood of individuals subjected to such taxonomies, …

Bias In, Bias Out, Sandra G. Mayson

All Faculty Scholarship

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impacts. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race; (2) adjustments to algorithmic design to equalize predictions across racial lines; and (3) rejection of algorithmic methods altogether.

This Article’s central claim is that these strategies are at best superficial and at worst counterproductive because the source of racial inequality in risk assessment lies …