Online research in philosophy

Cognitive neuroscientists use functional magnetic resonance imaging (fMRI) to measure properties of a participant’s brain during a cognitive task. These imaging results are transformed into compelling pictures of brain activity using statistical models. I will argue that, for a broad class of experiments, neuroimaging experts have a tendency to over‐interpret the functional significance of their data. This over‐interpretation appears to follow from contentious theoretical assumptions about the mind‐brain connection, and from a propensity to conflate the anatomical location of a statistically‐significant correlation with knowledge of the mechanistic functioning at that location.

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..

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.

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.