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- Kevin A. Johnson, F. Andrew Kozel, Steven J. Laken & Mark S. George (2007). The Neuroscience of Functional Magnetic Resonance Imaging Fmri for Deception Detection. American Journal of Bioethics 7 (9):58 – 60.
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aFunctional Imaging Laboratory, Wellcome Department of Imaging Neuroscience, University College London, 12 Queen Square, London WC1N 3BG, UK bDepartment of Experimental Psychology, University of Oxford, UK cOxford Centre for Functional Magnetic Resonance Imaging of the Brain, UK dDepartment of Psychiatry and Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, UK..
Functional magnetic resonance imaging (or fMRI)1 is widely used to support hypotheses about brain function. Many find the images produced from fMRI data to be especially compelling evidence for scientific hypotheses [McCabe and Castel, 2008]. There are many problems with all of this; I want to start with two of them, and argue that they get us closer to an under-appreciated worry about many imaging experiments.
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Deception is an all-too-common human activity, one that succeeds because we cannot always detect it in others. It complicates all sorts of human decision-making, including attributing guilt for criminal offenses. The law relies on human fact-finders to determine whether criminal defendants claiming innocence, as well as witnesses testifying about a case, are telling the truth. But the fallibility of human lie detection has fueled the search for a more accurate replacement. Scientists have developed new approaches to lie detection that use a brain scanning technique called functional magnetic resonance imaging (fMRI) to evaluate whether someone is lying. In experimental settings, researchers have found ..
In this paper, I argue that companies who use functional Magnetic Resonance Imaging (fMRI) scans for lie detection encounter the same basic ethical stumbling blocks as commercial companies that market traditional polygraphs. Markets in traditional voluntary polygraphs are common and fail to elicit much uproar among ethicists. Thus, for consistency, if markets in polygraphs are ethically unproblematic, markets using fMRIs for lie detection are equally as acceptable. Furthermore, while I acknowledge two substantial differences between the ethical concerns involving polygraphs and fMRI lie detection, I argue that these concerns can be overcome and do not lead to the conclusion that markets in fMRI lie detection are ethically dubious. It is my conclusion that voluntary markets in fMRI lie detection can be justified by consumer autonomy and should be allowed to persist.
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