Law Commons^™

Predicting The Knowledge–Recklessness Distinction In The Human Brain, Iris Vilares, Michael J. Wesley, Woo-Young Woo-Young Ahn, Richard J. Bonnie, Morris B. Hoffman, Owen D. Jones, Stephen J. Morse, Gideon Yaffe, Terry Lohrenz, Read Montague

All Faculty Scholarship

Criminal convictions require proof that a prohibited act was performed in a statutorily specified mental state. Different legal consequences, including greater punishments, are mandated for those who act in a state of knowledge, compared with a state of recklessness. Existing research, however, suggests people have trouble classifying defendants as knowing, rather than reckless, even when instructed on the relevant legal criteria.

We used a machine-learning technique on brain imaging data to predict, with high accuracy, which mental state our participants were in. This predictive ability depended on both the magnitude of the risks and the amount of information about those …

Fmri And Lie Detection, Anthony D. Wagner, Richard J. Bonnie, Bj Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, Gideon Yaffe

Faculty Scholarship

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 …