« Finegan on the Need for Limits on Neighborhood Watch Associations | Main | Kornreich & Platt on Legal Ethics in Habeas after Martinez v. Ryan »
September 14, 2012
Langleben & Moriarty on Brain Imaging for Lie Detection
Daniel D. Langleben and Jane Campbell Moriarty (pictured) (University of Pennsylvania - School
of Medicine and Duquesne University - School of Law) have posted Using Brain Imaging for Lie
Detection: Where Science, Law, and Policy Collide (Psychology,
Public Policy, and Law, September 2012) on SSRN. Here is the abstract:
Progress in the
use of functional magnetic resonance imaging (fMRI) of the brain to
differentiate lying from truth-telling has created an expectation of a
breakthrough in the search for objective methods of lie detection. In the last
few years, litigants have attempted to introduce fMRI-based lie detection
evidence in courts. Both the science and its possible use as courtroom evidence
have spawned much scholarly discussion. This article contributes to the
interdisciplinary debate by identifying the missing pieces of the scientific
puzzle that need to be completed if fMRI-based lie detection is to meet the
standards of either legal reliability or general acceptance. The article
provides a balanced analysis of the current science and the cases in which
litigants have sought to introduce fMRI-based lie detection. Identifying the key
limitations of the science as expert evidence, the article explores the problems
that arise from using scientific evidence before it is proven valid and
reliable. We conclude that the Daubert’s “known error rate” is the key concept
linking the legal and scientific standards. We suggest that properly controlled
clinical trials are the most convincing means to confirm or disprove the
relevance of this promising laboratory research. Given the controversial nature
and potential societal impact of this technology, collaboration of several
government agencies may be required to sponsor impartial and comprehensive
clinical trials that will guide the development of forensic fMRI technology.
September 14, 2012 | Permalink
