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Bias In, Bias Out, Sandra G. Mason
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 …
Risk As A Proxy For Race: The Dangers Of Risk Assessment, Bernard E. Harcourt
Risk As A Proxy For Race: The Dangers Of Risk Assessment, Bernard E. Harcourt
Faculty Scholarship
Actuarial risk assessment in the implementation and administration of criminal sentencing has a long history in this country – a long and fraught history. Today, many progressive advocates promote the use of actuarial risk assessment instruments as part of a strategy to reduce the problem of "mass incarceration." Former Attorney General Eric Holder has called on the U.S. Sentencing Commission to hold hearings to further consider the matter of risk assessment and prediction tools in sentencing and parole.
The objective – to reduce our massive over-incarceration in this country – is critical and noble. But risk assessment tools are simply …
A Reader's Companion To Against Prediction: A Reply To Ariela Gross, Yoram Margalioth, And Yoav Sapir On Economic Modeling, Selective Incapacitation, Governmentality, And Race, Bernard E. Harcourt
A Reader's Companion To Against Prediction: A Reply To Ariela Gross, Yoram Margalioth, And Yoav Sapir On Economic Modeling, Selective Incapacitation, Governmentality, And Race, Bernard E. Harcourt
Faculty Scholarship
From parole prediction instruments and violent sexual predator scores to racial profiling on the highways, instruments to predict future dangerousness, drug-courier profiles, and IRS computer algorithms to detect tax evaders, the rise of actuarial methods in the field of crime and punishment presents a number of challenging issues at the intersection of economic theory, sociology, history, race studies, criminology, social theory, and law. The three review essays of "Against Prediction" by Ariela Gross, Yoram Margalioth, and Yoav Sapir, raise these challenges in their very best light. Ranging from the heights of poststructuralist and critical race theory to the intricate details …
Against Prediction: Sentencing, Policing, And Punishing In An Actuarial Age, Bernard E. Harcourt
Against Prediction: Sentencing, Policing, And Punishing In An Actuarial Age, Bernard E. Harcourt
Faculty Scholarship
Actuarial methods – i.e., the use of statistical rather than clinical methods on large datasets of criminal offending rates to determine different levels of offending associated with one or more group traits, in order to (1) predict past, present or future criminal behavior and (2) administer a criminal justice outcome – now permeates the criminal law and its enforcement. With the single exception of racial profiling against African-Americans and Hispanics, most people view the turn to the actuarial as efficient, rational, and wealth-maximizing. The fact is, law enforcement agencies can detect more crime with the same resources if they investigate …