Law Commons^™

Bias In, Bias Out, Sandra G. Mason

AI-DR Collection

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 impact. 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 …

Women's Rights, Human Rights And The Criminal Law Or, Feminist Debates And Responses To [De]Criminalization And Sexual And Reproductive Health, Aziza Ahmed

Faculty Scholarship

My comments today seek to highlight how social and economic rights advocates, particularly those concerned with the right to health, engage with ongoing debates about the role of criminal law in human rights. In particular, I emphasize how many “right to health” campaigns fight for the decriminalization of laws that result in the arrest of marginalized communities or health workers. This trend within right to health advocacy complicates what has been called the anti-impunity turn in human rights. In other words, although many scholars have correctly highlighted the rise of a carceral agenda in human rights, there is also ongoing, …

Bias In, Bias Out, Sandra G. Mayson

Scholarly Works

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 impact. 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 …

Foreword: Abolition Constitutionalism, Dorothy E. Roberts

All Faculty Scholarship

In this Foreword, I make the case for an abolition constitutionalism that attends to the theorizing of prison abolitionists. In Part I, I provide a summary of prison abolition theory and highlight its foundational tenets that engage with the institution of slavery and its eradication. I discuss how abolition theorists view the current prison industrial complex as originating in, though distinct from, racialized chattel slavery and the racial capitalist regime that relied on and sustained it, and their movement as completing the “unfinished liberation” sought by slavery abolitionists in the past. Part II considers whether the U.S. Constitution is an …