David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Thomas Nadelhoffer, Stephanos Bibas, Scott Grafton, Kent Kiehl, Andrew Mansfield, Walter Sinnott-Armstrong & Michael Gazzaniga
Neuroethics 5 (1):67-99 (2012)
In this paper, our goal is to (a) survey some of the legal contexts within which violence risk assessment already plays a prominent role, (b) explore whether developments in neuroscience could potentially be used to improve our ability to predict violence, and (c) discuss whether neuropredictive models of violence create any unique legal or moral problems above and beyond the well worn problems already associated with prediction more generally. In Violence Risk Assessment and the Law , we briefly examine the role currently played by predictions of violence in three high stakes legal contexts: capital sentencing ( Violence Risk Assessment and Capital Sentencing ), civil commitment hearings ( Violence Risk Assessment and Civil Commitment ), and sexual predator statutes ( Violence Risk Assessment and Sexual Predator Statutes ). In Clinical vs. Actuarial Violence Risk Assessment , we briefly examine the distinction between traditional clinical methods of predicting violence and more recently developed actuarial methods, exemplified by the Classification of Violence Risk (COVR) software created by John Monahan and colleagues as part of the MacArthur Study of Mental Disorder and Violence . In The Neural Correlates of Psychopathy , we explore what neuroscience currently tells us about the neural correlates of violence, using the recent neuroscientific research on psychopathy as our focus. We also discuss some recent advances in both data collection ( Cutting-Edge Data Collection: Genetically Informed Neuroimaging ) and data analysis ( Cutting-Edge Data Analysis: Pattern Classification ) that we believe will play an important role when it comes to future neuroscientific research on violence. In The Potential Promise of Neuroprediction , we discuss whether neuroscience could potentially be used to improve our ability to predict future violence. Finally, in The Potential Perils of Neuroprediction , we explore some potential evidentiary ( Evidentiary Issues ), constitutional ( Constitutional Issues ), and moral ( Moral Issues ) issues that may arise in the context of the neuroprediction of violence.
|Keywords||Neuroscience Prediction Criminal law Psychopathy Violence risk assessment|
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References found in this work BETA
Russell A. Poldrack (2006). Can Cognitive Processes Be Inferred From Neuroimaging Data? Trends in Cognitive Sciences 10 (2):59-63.
Kenneth A. Norman, Sean M. Polyn, Greg J. Detre & James V. Haxby (2006). Beyond Mind-Reading: Multi-Voxel Pattern Analysis of fMRI Data. Trends in Cognitive Sciences 10 (9):424-430.
R. J. R. Blair, D. G. V. Mitchell, A. Leonard, S. Budhani, K. S. Peschardt & C. Newman (2004). Passive Avoidance Learning in Individuals with Psychopathy: Modulation by Reward but Not by Punishment. Personality and Individual Differences 37:1179–1192.
Stephen J. Morse (2004). Preventive Confinement of Dangerous Offenders. Journal of Law, Medicine & Ethics 32 (1):56-72.
Citations of this work BETA
Thomas Nadelhoffer & Walter Sinnott-Armstrong (2012). Neurolaw and Neuroprediction: Potential Promises and Perils. Philosophy Compass 7 (9):631-642.
Gerben Meynen (2014). Neurolaw: Neuroscience, Ethics, and Law. Review Essay. Ethical Theory and Moral Practice 17 (4):819-829.
Neil Levy (2015). Zimmerman’s The Immorality of Punishment: A Critical Essay. [REVIEW] Criminal Law and Philosophy 9 (1):103-112.
Thomas Søbirk Petersen (2014). (Neuro)Predictions, Dangerousness, and Retributivism. Journal of Ethics 18 (2):137-151.
Kasper Lippert-Rasmussen (2014). Neuroprediction, Truth-Sensitivity, and the Law. Journal of Ethics 18 (2):123-136.
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