Skip to main content

Mind Reading, Lie Detection, and Privacy

  • Reference work entry
  • First Online:
Handbook of Neuroethics

Abstract

Neuroimaging techniques can generate a variety of kinds of personal information. This chapter focuses on the potential for neuroimaging to threaten privacy by revealing mental content and discusses the scientific and ethical issues that should be considered in a neuroethical analysis of neuroimaging that may infringe on privacy. Here these considerations are illustrated with a discussion of the scientific and ethical issues that arise when trying to use neuroimaging technologies for lie detection in real-world applications. Although current methods do not significantly threaten mental privacy, it is possible that privacy rights could be infringed with further developments in neuroimaging. However, this area is highly undertheorized; more work on the foundations of the right to privacy is needed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 999.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    It should be noted that this is already possible to achieve with behavioral tests. Moreover, it is not clear that this information tells us anything about how a person will act in a certain situation. The biases, even if real, could be counteracted by other processes and never affect decision or action.

References

  • Aharoni, E., Vincent, G. M., Harenski, C. L., Calhoun, V. D., Sinnott-Armstrong, W., et al. (2013). Neuroprediction of future rearrest. Proceedings of the National Academy of Sciences of the United States of America, 110, 6223–6228.

    Article  Google Scholar 

  • Azevedo, R. T., Macaluso, E., Avenanti, A., Santangelo, V., Cazzato, V., & Aglioti, S. M. (2012). Their pain is not our pain: Brain and autonomic correlates of empathic resonance with the pain of same and different race individuals. Human Brain Mapping, 34, 3168–3181.

    Article  Google Scholar 

  • Bizzi, E., Hyman, S. E., Raichle, M. E., Kanwisher, N., & Phelps, E. A. (2009). Using imaging to identify deceit: Scientific and ethical questions. Cambridge, MA: American Academy of Arts and Sciences.

    Google Scholar 

  • Blackford, J. U., Avery, S. N., Cowan, R. L., Shelton, R. C., & Zald, D. H. (2011). Sustained amygdala response to both novel and newly familiar faces characterizes inhibited temperament. Social Cognitive and Affective Neuroscience, 6, 621–629.

    Article  Google Scholar 

  • Brower, M. C., & Price, B. H. (2001). Neuropsychiatry of frontal lobe dysfunction in violent and criminal behaviour: A critical review. Journal of Neurology, Neurosurgery and Psychiatry, 71, 720–726.

    Article  Google Scholar 

  • Bruneau, E. G., & Saxe, R. (2010). Attitudes towards the outgroup are predicted by activity in the precuneus in Arabs and Israelis. NeuroImage, 52, 1704–1711.

    Article  Google Scholar 

  • Carre, A., Gierski, F., Lemogne, C., Tran, E., Raucher-Chene, D., et al. (2013). Linear association between social anxiety symptoms and neural activations to angry faces: From subclinical to clinical levels. Social Cognitive Affective Neuroscience. doi: 10.1093/scan/nst061.

    Google Scholar 

  • Chang, K.-M. K., Mitchell, T., & Just, M. A. (2011). Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation. NeuroImage, 56, 716–727.

    Article  Google Scholar 

  • Christ, S. E., Van Essen, D. C., Watson, J. M., Brubaker, L. E., & McDermott, K. B. (2009). The contributions of prefrontal cortex and executive control to deception: Evidence from activation likelihood estimate meta-analyses. Cerebral Cortex, 19, 1557–1566.

    Article  Google Scholar 

  • Clark, V.P., Beatty, G.K., Anderson. R.E., Kodituwakku. P., Phillips. J.P., et al. (2014). Reduced fMRI activity predicts relapse in patients recovering from stimulant dependence. Human Brain Mapping, 35, 414–428.

    Google Scholar 

  • Davatzikos, C., Ruparel, K., Fan, Y., Shen, D. G., Acharyya, M., et al. (2005). Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection. NeuroImage, 28, 663–668.

    Article  Google Scholar 

  • de Oliveira-Souza, R., Hare, R. D., Bramati, I. E., Garrido, G. J., Azevedo Ignacio, F., et al. (2008). Psychopathy as a disorder of the moral brain: Fronto-temporo-limbic grey matter reductions demonstrated by voxel-based morphometry. NeuroImage, 40, 1202–1213.

    Article  Google Scholar 

  • Du, W., Calhoun, V. D., Li, H., Ma, S., Eichele, T., et al. (2012). High classification accuracy for schizophrenia with rest and task FMRI data. Frontiers in Human Neuroscience, 6, 145.

    Article  Google Scholar 

  • Farah, M.J., Hutchinson, B., Phelps, E.A., Wagner, A.D. (2014). fMRI lie detection: Scientific and societal challenges. Nat Review Neurosciences, 15, 123–131.

    Google Scholar 

  • Farahany, N. (2012). Incriminating thoughts. Stanford Law Review, 64, 351–408.

    Google Scholar 

  • Fox, D. (2008). Brain imaging and the bill of rights. The American Journal of Bioethics, 8, 34–36.

    Article  Google Scholar 

  • Ganis, G., Kosslyn, S. M., Stose, S., Thompson, W. L., & Yurgelun-Todd, D. A. (2003). Neural correlates of different types of deception: An fMRI investigation. Cerebral Cortex, 13, 830–836.

    Article  Google Scholar 

  • Greene, J., & Paxton, J. (2009). Patterns of neural activity associated with honest and dishonest moral decisions. PNAS, 106, 12506–12511.

    Article  Google Scholar 

  • Greicius, M. (2008). Resting-state functional connectivity in neuropsychiatric disorders. Current Opinion in Neurology, 21, 424–430.

    Article  Google Scholar 

  • Gymrek, M., McGuire, A. L., Golan, D., Halperin, E., & Erlich, Y. (2013). Identifying personal genomes by surname inference. Science, 339, 321–324.

    Article  Google Scholar 

  • Hakun, J. G., Seelig, D., Ruparel, K., Loughead, J. W., Busch, E., et al. (2008). FMRI investigation of the cognitive structure of the concealed information test. Neurocase, 14, 59–67.

    Article  Google Scholar 

  • Hakun, J. G., Ruparel, K., Seelig, D., Busch, E., Loughead, J. W., et al. (2009). Towards clinical trials of lie detection with fMRI. Social Neuroscience, 4, 518–527.

    Article  Google Scholar 

  • Haynes, J.-D. (2009). Decoding visual consciousness from human brain signals. Trends in Cognitive Sciences, 13, 194–202.

    Article  Google Scholar 

  • Holley, B. (2009). It’s all in your head: Neurotechnological lie detection and the fourth and fifth amendments. Developments in Mental Health Law, 28, 1–23.

    Google Scholar 

  • Hurd, A. J. (2012). Eaching past fingertips with forensic neuroimaging—non-“Testimonial” evidence exceeding the Fifth Amendment’s Grasp. Loyola Law Review, 58, 213–248.

    Google Scholar 

  • Illes, J., Kirschen, M. P., Edwards, E., Stanford, L. R., Bandettini, P., et al. (2006). Ethics. Incidental findings in brain imaging research. Science, 311, 783–784.

    Article  Google Scholar 

  • Kay, K. N., Naselaris, T., Prenger, R. J., & Gallant, J. L. (2008). Identifying natural images from human brain activity. Nature, 452, 352–355.

    Article  Google Scholar 

  • Knutson, K. M., Mah, L., Manly, C. F., & Grafman, J. (2007). Neural correlates of automatic beliefs about gender and race. Human Brain Mapping, 28, 915–930.

    Article  Google Scholar 

  • Kozel, F. A., Johnson, K. A., Mu, Q., Grenesko, E. L., Laken, S. J., & George, M. S. (2005). Detecting deception using functional magnetic resonance imaging. Biological Psychiatry, 58, 605–613.

    Article  Google Scholar 

  • Krill, A., & Platek, S. M. (2009). In-group and out-group membership mediates anterior cingulate activation to social exclusion. Frontiers in Evolutionary Neuroscience, 1, 1.

    Article  Google Scholar 

  • Langleben, D. D., & Moriarty, J. C. (2013). Using brain imaging for lie detection: Where science, law and research policy collide. Psychology, Public Policy, and Law: An Official Law Review of the University of Arizona College of Law and the University of Miami School of Law, 19, 222–234.

    Article  Google Scholar 

  • Langleben, D. D., Loughead, J. W., Bilker, W. B., Ruparel, K., Childress, A. R., et al. (2005). Telling truth from lie in individual subjects with fast event-related fMRI. Human Brain Mapping, 26, 262–272.

    Article  Google Scholar 

  • Laricchiuta, D., Petrosini, L., Piras, F., Cutuli, D., Macci, E., et al. (2013). Linking novelty seeking and harm avoidance personality traits to basal ganglia: Volumetry and mean diffusivity. Brain Structure & Function. doi: 10.1007/ s00429-013-0535-5.

    Google Scholar 

  • Lemogne, C., Gorwood, P., Bergouignan, L., Pelissolo, A., Lehericy, S., & Fossati, P. (2011). Negative affectivity, self-referential processing and the cortical midline structures. Social Cognitive and Affective Neuroscience, 6, 426–433.

    Article  Google Scholar 

  • McCabe, D. P., Castel, A. D., & Rhodes, M. G. (2011). The influence of fMRI lie detection evidence on juror decision-making. Behavioral Sciences & the Law, 29, 566–577.

    Article  Google Scholar 

  • Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., et al. (2008). Predicting human brain activity associated with the meanings of nouns. Science, 320, 1191–1195.

    Article  Google Scholar 

  • Monteleone, G. T., Phan, K. L., Nusbaum, H. C., Fitzgerald, D., Irick, J.-S., et al. (2009). Detection of deception using fMRI: Better than chance, but well below perfection. Social Neuroscience, 4, 528–538.

    Article  Google Scholar 

  • Nadelhoffer, T., Bibas, S., Grafton, S., Kiehl, K., Mansfield, A., et al. (2010). Neuroprediction, violence, and the law: Setting the stage. Neuroethics, 1–33.

    Google Scholar 

  • Naselaris, T., Prenger, R. J., Kay, K. N., Oliver, M., & Gallant, J. L. (2009). Bayesian reconstruction of natural images from human brain activity. Neuron, 63, 902–915.

    Article  Google Scholar 

  • Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2011). Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology, 21, 1641–1646.

    Article  Google Scholar 

  • Rametti, G., Carrillo, B., Gomez-Gil, E., Junque, C., Zubiarre-Elorza, L., et al. (2011). The microstructure of white matter in male to female transsexuals before cross-sex hormonal treatment. A DTI study. Journal of Psychiatric Research, 45, 949–954.

    Google Scholar 

  • Rosenfeld, J. P., Labkovsky, E., Winograd, M., Lui, M. A., Vandenboom, C., & Chedid, E. (2008). The Complex Trial Protocol (CTP): A new, countermeasure-resistant, accurate, P300-based method for detection of concealed information. Psychophysiology, 45, 906–919.

    Article  Google Scholar 

  • Roskies, A. L. (forthcoming). Mindreading and privacy. In M. Gazzaniga (Ed.), The cogntive neurosciences V.

    Google Scholar 

  • Schauer, F. (2010). Neuroscience, lie-detection, and the law. Trends in Cognitive Sciences, 14, 101–103.

    Article  Google Scholar 

  • Scott, N. A., Murphy, T. H., & Illes, J. (2012). Incidental findings in neuroimaging research: A framework for anticipating the next frontier. Journal of Empirical Research on Human Research Ethics: JERHRE, 7, 53–57.

    Article  Google Scholar 

  • Shinkareva, S. V., Malave, V. L., Mason, R. A., Mitchell, T. M., & Just, M. A. (2011). Commonality of neural representations of words and pictures. NeuroImage, 54, 2418–2425.

    Article  Google Scholar 

  • Soon, C. S., Brass, M., Heinze, H.-J., & Haynes, J.-D. (2008). Unconscious determinants of free decisions in the human brain. Nature Neuroscience, 11, 543–545.

    Article  Google Scholar 

  • Spence, S. A. (2008). Playing Devil’s advocate: The case against fMRI lie detection. Legal and Criminological Psychology, 13, 11–25.

    Article  Google Scholar 

  • Stoller, S. E., & Wolpe, P. R. (2007). Emerging neurotechnologies for Lie detection and the fifth amendment. American Journal of Law & Medicine, 33, 359–375.

    Google Scholar 

  • Teipel, S. J., Grothe, M., Lista, S., Toschi, N., Garaci, F. G., & Hampel, H. (2013). Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease. The Medical Clinics of North America, 97, 399–424.

    Article  Google Scholar 

  • US v Semrau. (2010). 643 F. 3d 510, decided Sept. 7, 2012

    Google Scholar 

  • Van Bavel, J. J., Packer, D. J., & Cunningham, W. A. (2008). The neural substrates of in-group bias: A functional magnetic resonance imaging investigation. Psychological Science, 19, 1131–1139.

    Article  Google Scholar 

  • Van Schuerbeek, P., Baeken, C., De Raedt, R., De Mey, J., & Luypaert, R. (2011). Individual differences in local gray and white matter volumes reflect differences in temperament and character: A voxel-based morphometry study in healthy young females. Brain Research, 1371, 32–42.

    Article  Google Scholar 

  • Vul, E., Harris, C., Winkielman, P., & Pashler, H. (2009). Puzzlingly high correlations in fmri studies of emotion, personality, and social cognition. Perspectives on Psychological Science, 4, 274–290.

    Article  Google Scholar 

  • Wagner AD. (2010). Can neuroscience identify lies? In Gazzaniga, Michael S., (Eds.), A judges guide to neuroscience: A concise introduction (pp. 13–25). SAGE Center, UC Santa, Barbara.

    Google Scholar 

  • Warren, S., & Brandeis, L. (1890). The right to privacy. Harvard Law Review, 4, 193.

    Article  Google Scholar 

  • Wilson v Corestaff (2010) 28 Misc. 3d 425. (May 14, 2010)

    Google Scholar 

  • Wolpe, P. R., Foster, K. R., & Langleben, D. D. (2005). Emerging neurotechnologies for lie-detection: Promises and perils. The American Journal of Bioethics, 5, 39.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adina L. Roskies .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this entry

Cite this entry

Roskies, A.L. (2015). Mind Reading, Lie Detection, and Privacy. In: Clausen, J., Levy, N. (eds) Handbook of Neuroethics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4707-4_123

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-4707-4_123

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4706-7

  • Online ISBN: 978-94-007-4707-4

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics