Identifying Criteria for the Evaluation of the Implications of Brain Reading for Mental Privacy

Contemporary brain reading technologies promise to provide the possibility to decode and interpret mental states and processes. Brain reading could have numerous societally relevant implications. In particular, the private character of mind might be affected, generating ethical and legal concerns. This paper aims at equipping ethicists and policy makers with conceptual tools to support an evaluation of the potential applicability and the implications of current and near future brain reading technology. We start with clarifying the concepts of mind reading and brain reading, and the different kinds of mental states that could in principle be read. Subsequently, we devise an evaluative framework that is composed of five criteria-accuracy, reliability, informativity, concealability and enforceability-aimed at enabling a clearer estimation of the degree to which brain reading might be realistically deployed in contexts where mental privacy could be at stake. While accuracy and reliability capture how well a certain method can access mental content, informativity indicates the relevance the obtainable data have for practical purposes. Concealability and enforceability are particularly important for the evaluation of concerns about potential violations of mental privacy and civil rights. The former concerns the degree with which a brain reading method can be concealed from an individual’s perception or awareness. The latter regards the extent to which a method can be used against somebody’s will. With the help of these criteria, stakeholders can orient themselves in the rapidly developing field of brain reading.

[1]  J. Gallant,et al.  Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies , 2011, Current Biology.

[2]  Alexander G. Huth,et al.  Attention During Natural Vision Warps Semantic Representation Across the Human Brain , 2013, Nature Neuroscience.

[3]  Danilo Bzdok,et al.  Connectivity and functional profiling of abnormal brain structures in pedophilia , 2015, Human brain mapping.

[4]  V. Calhoun,et al.  A practical approach to incidental findings in neuroimaging research , 2011, Neurology.

[5]  D. Davidson Knowing One's Own Mind , 1987 .

[6]  Marcel van Gerven,et al.  Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition , 2016, ECCV Workshops.

[7]  Rainer Goebel,et al.  It's not all in your car: functional and structural correlates of exceptional driving skills in professional racers , 2014, Front. Hum. Neurosci..

[8]  Martin L. Gross,et al.  The Brain Watchers , 1962 .

[9]  Jack L. Gallant,et al.  Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex , 2013, Neuron.

[10]  Martina Vicianova Historical Techniques of Lie Detection , 2015, Europe's journal of psychology.

[11]  M. Farah,et al.  Progress and challenges in probing the human brain , 2015, Nature.

[12]  R. Cowen,et al.  Assessing pain objectively: the use of physiological markers , 2015, Anaesthesia.

[13]  Heungsun Hwang,et al.  A functional analysis of deception detection of a mock crime using infrared thermal imaging and the Concealed Information Test , 2013, Front. Hum. Neurosci..

[14]  Stefan Bode,et al.  Similar neural mechanisms for perceptual guesses and free decisions , 2013, NeuroImage.

[15]  Pietro Pietrini,et al.  How Neuroscience and Behavioral Genetics Improve Psychiatric Assessment: Report on a Violent Murder Case , 2010, Front. Behav. Neurosci..

[16]  R. Passingham,et al.  Reading Hidden Intentions in the Human Brain , 2007, Current Biology.

[17]  V. Lamme What introspection has to offer, and where its limits lie , 2010, Cognitive neuroscience.

[18]  Stefano Tamburin,et al.  Psychological Considerations in the Assessment and Treatment of Pain in Neurorehabilitation and Psychological Factors Predictive of Therapeutic Response: Evidence and Recommendations from the Italian Consensus Conference on Pain in Neurorehabilitation , 2016, Front. Psychol..

[19]  Manuel Schabus,et al.  Across the consciousness continuum—from unresponsive wakefulness to sleep , 2015, Front. Hum. Neurosci..

[20]  Eran Klein,et al.  Informed Consent in Implantable BCI Research: Identifying Risks and Exploring Meaning , 2015, Science and Engineering Ethics.

[21]  Nita A. Farahany Neuroscience and behavioral genetics in US criminal law: an empirical analysis , 2015, Journal of law and the biosciences.

[22]  Judy Illes,et al.  Imaging or Imagining? A Neuroethics Challenge Informed by Genetics , 2005, The American journal of bioethics : AJOB.

[23]  Lambèr M. M. Royakkers,et al.  Ethics, Technology, and Engineering: An Introduction , 2011 .

[24]  Natalie Salmanowitz The case for pain neuroimaging in the courtroom: lessons from deception detection , 2015, Journal of law and the biosciences.

[25]  A. Crump The painful truth. , 1993, Elderly care.

[26]  Benjamin F. J. Verhaaren,et al.  Prevalence, Clinical Management, and Natural Course of Incidental Findings on Brain MR Images: The Population-based Rotterdam Scan Study. , 2016, Radiology.

[27]  Tom Heskes,et al.  Linear reconstruction of perceived images from human brain activity , 2013, NeuroImage.

[28]  R. Goebel,et al.  Pattern classification of valence in depression☆ , 2013, NeuroImage: Clinical.

[29]  J. Haynes,et al.  Predicting free choices for abstract intentions , 2013, Proceedings of the National Academy of Sciences.

[30]  S. Nissen The painful truth. , 2010, European heart journal.

[31]  Jack L. Gallant,et al.  A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain , 2012, Neuron.

[32]  J. Rubenfeld The Right of Privacy , 1989 .

[33]  D GARCIA REINOSO,et al.  Body and Mind. , 2019, Nature.

[34]  Beatrice de Gelder,et al.  From personal fear to mass panic: The neurological basis of crowd perception , 2015, Human brain mapping.

[35]  J. Haynes Brain Reading: Decoding Mental States From Brain Activity In Humans , 2011 .

[36]  Dean P. Foster,et al.  Brain Imaging and Brain Privacy: A Realistic Concern? , 2009, Journal of Cognitive Neuroscience.

[37]  Wim Fias,et al.  Traits are represented in the medial prefrontal cortex: an fMRI adaptation study. , 2014, Social cognitive and affective neuroscience.

[38]  A Guell,et al.  Voice analysis to predict the psychological or physical state of a speaker. , 1990, Aviation, space, and environmental medicine.

[39]  Dennis Velakoulis,et al.  MRI correlates of general intelligence in neurotypical adults , 2016, Journal of Clinical Neuroscience.

[40]  Tobias Sommer,et al.  Memory detection using fMRI — Does the encoding context matter? , 2015, NeuroImage.

[41]  Anton Vedder,et al.  Human Enhancement for the Common Good—Using Neurotechnologies to Improve Eyewitness Memory , 2010 .

[42]  F. Esposito,et al.  Immediate processing of erotic stimuli in paedophilia and controls: a case control study , 2013, BMC Psychiatry.

[43]  R. King The Concept of the Person , 1966, The Journal of Religion.

[44]  G. Deuschl,et al.  Assessment of pedophilia using hemodynamic brain response to sexual stimuli. , 2012, Archives of general psychiatry.

[45]  Tom Michael Mitchell,et al.  Predicting Human Brain Activity Associated with the Meanings of Nouns , 2008, Science.

[46]  Nikolaus Kriegeskorte,et al.  The Emergence of Semantic Meaning in the Ventral Temporal Pathway , 2014, Journal of Cognitive Neuroscience.

[47]  Y Kamitani,et al.  Neural Decoding of Visual Imagery During Sleep , 2013, Science.

[48]  Kimberli R. Black,et al.  PERSONALITY SCREENING IN EMPLOYMENT , 1994 .

[49]  J. Gallant,et al.  Identifying natural images from human brain activity , 2008, Nature.

[50]  Thomas L. Griffiths,et al.  Supplementary Information for Natural Speech Reveals the Semantic Maps That Tile Human Cerebral Cortex , 2022 .

[51]  M. Brass,et al.  Unconscious determinants of free decisions in the human brain , 2008, Nature Neuroscience.

[52]  D. Morillo,et al.  Study Protocol on Intentional Distortion in Personality Assessment: Relationship with Test Format, Culture, and Cognitive Ability , 2016, Front. Psychol..

[53]  O. Gruber,et al.  Dynamic Amygdala Influences on the Fronto-Striatal Brain Mechanisms Involved in Self-Control of Impulsive Desires , 2015, Neuropsychobiology.

[54]  Soon Chun Siong,et al.  The neural encoding of guesses in the human brain , 2012, NeuroImage.

[55]  Phillip Wolff,et al.  Causal reasoning with forces , 2015, Front. Hum. Neurosci..

[56]  M. Lindquist,et al.  An fMRI-based neurologic signature of physical pain. , 2013, The New England journal of medicine.

[57]  J. O'Doherty,et al.  Marketing actions can modulate neural representations of experienced pleasantness , 2008, Proceedings of the National Academy of Sciences.

[58]  S. Shoemaker The First-Person Perspective , 1994 .

[59]  Michael S. Pardo,et al.  Minds, Brains, and Law: The Conceptual Foundations of Law and Neuroscience , 2015 .

[60]  S. Reardon Neuroscience in court: The painful truth , 2015, Nature.

[61]  M. Berger What has a decade of Daubert wrought? , 2005, American journal of public health.

[62]  Silvia U. Maier,et al.  Acute Stress Impairs Self-Control in Goal-Directed Choice by Altering Multiple Functional Connections within the Brain’s Decision Circuits , 2015, Neuron.

[63]  Judy Illes,et al.  Incidental Findings in Brain Imaging Research , 2006, Science.

[64]  Dawn Xiaodong Song,et al.  On the Feasibility of Side-Channel Attacks with Brain-Computer Interfaces , 2012, USENIX Security Symposium.

[65]  R. Rorty Incorrigibility as the Mark of the Mental , 1970 .

[66]  Willem F. G. Haselager,et al.  Hacking the brain: brain–computer interfacing technology and the ethics of neurosecurity , 2016, Ethics and Information Technology.