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X-WR-CALNAME;VALUE=TEXT:Jennifer Doleac: Algorithmic Risk Assessment in the Hands of Humans
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SUMMARY:Jennifer Doleac: Algorithmic Risk Assessment in the Hands of Humans
DESCRIPTION:<p>	<strong>Jennifer Doleac</strong>, <em>Associate Professor of Economics, Texas A&amp;M University.</em></p><p>	<!--break--><drupal-media data-entity-type="media" data-entity-uuid="2051a034-7dbb-4715-9421-cba688f82667" data-align="right" alt="Jennifer Doleac" data-view-mode="hwp_small"></drupal-media><span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000">We evaluate how adopting risk assessment tools (algorithmic predictions of future offending) affects sentencing, recidivism and race/age disparities for felony offenders. </span></span></span></span></p><p style="margin:0in0in0.0001pt">	<span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000">We find that scoring right above the “low-risk" cutoff increases the likelihood of incarceration by 6-7 percentage points and increases the sentence length by approximately 23-34%, depending on the crime of conviction. </span></span></span></span></p><p style="margin:0in0in0.0001pt">	<span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000">Using a difference-in-difference framework, with defendants who were ineligible for risk assessment as a control, we find no evidence that the adoption of risk assessment affected average sentencing for nonviolent offenders: to whatever extent sentences decreased for lower risk defendants this was counterbalanced by an increase for those with higher risk scores -- in particular, for young defendants. </span></span></span></span></p><p style="margin:0in0in0.0001pt">	<span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000">We find little evidence that risk assessment led to a decline in recidivism, and explore several potential reasons why not. </span></span></span></span></p><p style="margin:0in0in0.0001pt">	<span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000">Our results on racial disparities in sentencing are mixed. Statewide, we find no evidence that risk assessment affected racial disparities. However, racial disparities increased after the adoption of risk assessment in the subset of judicial circuits that appear to use risk assessment most.</span></span></span></span></p><p style="margin:0in0in0.0001pt">	<br><span><span style="sans-serif"><span style="caret-color:#000000"><span style="color:#000000"><strong>About the speaker</strong></span></span></span></span></p><p>	Jennifer Doleac is an Associate Professor of Economics at <a href="https://econ.tamu.edu/" rel="noopener noreferrer" target="_blank">Texas A&amp;M University</a>, and Director of the <a href="http://justicetechlab.org/" rel="noopener noreferrer" target="_blank">Justice Tech Lab</a>. She is also a Research Fellow at IZA, and a Research Affiliate at the Institute for Research on Poverty, the University of Chicago Crime Lab, and the Wilson Sheehan Lab for Economic Opportunities.</p><p>	Jennifer Doleac studies crime and discrimination, with particular emphases on prisoner reentry and the effects of technology on public safety. She organizes the <a href="http://jenniferdoleac.com/texas-economics-of-crime-workshop-txecw/" rel="noopener noreferrer" target="_blank">Texas Economics of Crime Workshop</a> (TxECW), and hosts <a href="https://www.probablecausation.com/" rel="noopener noreferrer" target="_blank">Probable Causation</a>, a podcast about law, economics, and crime.</p><p>	<strong>Learn more about Jennifer Doleac's research</strong><br><a data-url="http://jenniferdoleac.com" href="http://jenniferdoleac.com" title="">jenniferdoleac.com</a></p><p>	 </p>
LOCATION:Ellwood Democracy Lab (R-414AB)
STATUS:CONFIRMED
DTSTART:20190916T160000Z
DTEND:20190916T173000Z
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