Saturday, December 31, 2016
Anthony D. Wagner, Richard J. Bonnie, BJ Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim A. Taylor-Thompson and Gideon Yaffe ((Stanford University - Psychology, University of Virginia - School of Law, Sackler Institute for Developmental Psychobiology, US Court of Appeals - Fourth Circuit, University of California Hastings College of the Law, Second Judicial District Court Judge, State of Colorado, Vanderbilt University - Law School & Dept. of Biological Sciences, Virginia Polytechnic Institute & State University - Virginia Tech Carilion Research Institute, University of Pennsylvania Law School, Washington University School of Medicine, Northwestern University - Department of Psychology, Columbia University - Law School, Temple University, New York University School of Law and Yale Law School)) have posted fMRI and Lie Detection (MacArthur Foundation Research Network on Law and Neuroscience, 2016) on SSRN. Here is the abstract:
Some studies have reported the ability to detect lies, with a high degree of accuracy, by analyzing brain data acquired using functional magnetic resonance imaging (fMRI). But is this new technology ready for its day in court?
This consensus knowledge brief from the MacArthur Foundation Research Network on Law and Neuroscience takes a closer look at the potential and pitfalls of fMRI lie detection techniques, providing insight into the areas of the brain involved in lying, the impact of memory on deception, how countermeasures may foil our efforts to detect lies, and factors that can create cause for concern about experimental validity.