FUNCTIONAL MAGNETIC RESONANCE IMAGING LIE DETECTION: ISA “BRAINSTORM” HEADING TOWARD the “GATEKEEPER”? Archie Alexander, M.D., J.D., LL.M.*
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The Future of Neuroimaged Lie Detection and the Law
The University of Akron IdeaExchange@UAkron Akron Law Review Akron Law Journals June 2015 The uturF e of Neuroimaged Lie Detection and the Law Joelle Anne Moreno Please take a moment to share how this work helps you through this survey. Your feedback will be important as we plan further development of our repository. Follow this and additional works at: http://ideaexchange.uakron.edu/akronlawreview Part of the Science and Technology Law Commons Recommended Citation Moreno, Joelle Anne (2009) "The uturF e of Neuroimaged Lie Detection and the Law," Akron Law Review: Vol. 42 : Iss. 3 , Article 3. Available at: http://ideaexchange.uakron.edu/akronlawreview/vol42/iss3/3 This Article is brought to you for free and open access by Akron Law Journals at IdeaExchange@UAkron, the institutional repository of The nivU ersity of Akron in Akron, Ohio, USA. It has been accepted for inclusion in Akron Law Review by an authorized administrator of IdeaExchange@UAkron. For more information, please contact [email protected], [email protected]. Moreno: The Future of Neuroimaged Lie Detection and the Law 8-MORENO_COPYFORPRINTER.DOC 4/27/2009 12:43 PM THE FUTURE OF NEUROIMAGED LIE DETECTION AND THE LAW Joëlle Anne Moreno∗ I. How Should Law Prepare to Respond to Cognitive Neuroscience? .................................................................. 722 A. The Potential Influence of Cognitive Neuroscience on Law ...................................................................... 722 B. Neuroimages in Court ................................................ 723 C. Cognitive Neuroscience Evidence in Court ............... 723 C. Extra-Legal Uses of Cognitive Neuroscience ............ 732 II. How Should Law (and Law Professors) Respond to Cognitive Neuroscience? ................................................. 733 A. Understanding the Value and Limits of Cognitive Neuroscience ............................................................ -
Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset Nuria Rodriguez Diaz, Decky Aspandi, Federico Sukno, and Xavier Binefa
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset Nuria Rodriguez Diaz, Decky Aspandi, Federico Sukno, and Xavier Binefa Abstract—Lie detection is considered a concern for everyone in the periorbital- [6] or perinasal-region [7] in thermal imagery, their day to day life given its impact on human interactions. Thus, which cannot be perceived by human vision. people normally pay attention to both what their interlocutors One of the crucial aspects to appropriately address lie- are saying and also to their visual appearances, including faces, to try to find any signs that indicate whether the person is detection research is the availability of adequate datasets. The telling the truth or not. While automatic lie detection may help acquisition of training and, especially, evaluation material for us to understand this lying characteristics, current systems are lie detection is a challenging task, particularly regarding the still fairly limited, partly due to lack of adequate datasets to necessity to gather ground truth, namely, to know whether a evaluate their performance in realistic scenarios. In this work, we person is lying or not. The main difficulty arises because such have collected an annotated dataset of facial images, comprising both 2D and 3D information of several participants during a knowledge is not useful if the scenario is naively simulated card game that encourages players to lie. Using our collected (e.g. it is not sufficient to instruct a person to simply tell dataset, We evaluated several types of machine learning-based a lie). -
Emotions and Deception Detection
Emotions and Deception Detection Mircea Zloteanu Division of Psychology and Language Sciences University College London, UK A dissertation submitted in part fulfilment of the requirement for the degree of Doctor of Philosophy in Psychology Prepared under the supervision of Dr. Daniel C. Richardson September 2016 1 I, Mircea Zloteanu, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Signature 2 Abstract Humans have developed a complex social structure which relies heavily on communication between members. However, not all communication is honest. Distinguishing honest from deceptive information is clearly a useful skills, but individuals do not possess a strong ability to discriminate veracity. As others will not willingly admit they are lying, one must rely on different information to discern veracity. In deception detection, individuals are told to rely on behavioural indices to discriminate lies and truths. A source of such indices are the emotions displayed by another. This thesis focuses on the role that emotions have on the ability to detect deception, exploring the reasons for low judgemental accuracy when individuals focus on emotion information. I aim to demonstrate that emotion recognition does not aid the detection of deception, and can result in decreased accuracy. This is attributed to the biasing relationship of emotion recognition on veracity judgements, stemming from the inability of decoders to separate the authenticity of emotional cues. To support my claims, I will demonstrate the lack of ability of decoders to make rational judgements regarding veracity, even if allowed to pool the knowledge of multiple decoders, and disprove the notion that decoders can utilise emotional cues, both innately and through training, to detect deception. -
Brain Activity During Simulated Deception: an Event-Related Functional Magnetic Resonance Study
NeuroImage 15, 727–732 (2002) doi:10.1006/nimg.2001.1003, available online at http://www.idealibrary.com on RAPID COMMUNICATION Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study D. D. Langleben,1 L. Schroeder, J. A. Maldjian,* R. C. Gur, S. McDonald, J. D. Ragland, C. P. O’Brien, and A. R. Childress Department of Psychiatry and *Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Received May 30, 2001; published online January 4, 2002 cations and there is a strong general interest in objec- The Guilty Knowledge Test (GKT) has been used tive methods for its detection (Holden, 2001). extensively to model deception. An association be- Multichannel physiological recording (polygraph) is tween the brain evoked response potentials and lying currently the most widely used method for the detec- on the GKT suggests that deception may be associated tion of deception (Office of Technology Assessment, with changes in other measures of brain activity such 1990). The effectiveness of the polygraph in the study as regional blood flow that could be anatomically lo- and detection of deception is limited by reliance on calized with event-related functional magnetic reso- peripheral manifestations of anxiety (skin conduc- nance imaging (fMRI). Blood oxygenation level-depen- tance, heart rate, and respiration) (Office of Technol- dent fMRI contrasts between deceptive and truthful responses were measured with a 4 Tesla scanner in 18 ogy Assessment, 1983). Scalp-recorded event-related participants performing the GKT and analyzed using potentials (ERPs) have also been used in the study of statistical parametric mapping. Increased activity in deception. -
Efficient Lying Involves Self-Deception – Because If You Really Believe Your Lie, Your Limbic System Won't Give You Away
The story “Looking for the Lie” http://www.nytimes.com/2006/02/05/magazine/05lying.html by Robin Marantz Henig New York Times Magazine, February 5, 2006 The pitch Dear Vera, A picture of a brain caught in mid-lie – that’s pretty hard to resist. Think of all the liars you’d love to expose: criminals, terrorists, politicians, philandering spouses, drug- abusing kids. That’s why scientists are trying to develop ways to unmask liars with techniques that go beyond traditional polygraphs – which are notoriously imprecise – or simple hunches – which are notoriously wrong. The next generation of lie detectors will include functional MRI scans, sophisticated electroencephalograms, and beams of light that can be blasted right inside the brain. But as we move closer to an era of high-tech mindreading, we should first take a look at what we know about lying – and whether it’s always such a good idea to uncover it. Is there an evolutionary purpose to deceit? A social purpose? Can anyone live in a community in which lies are always exposed and eliminated? If we can tell with confidence that someone is lying to us, is that something we even want to know? I’d like to propose a piece about lying for the Magazine, either as a 5000-word feature or as a longer cover story that gives me the space to explore the cultural, biological, and evolutionary implications of deception. I will also ask some of the questions raised with any new medical technology: what it can offer, how it can be abused, and whether it will set us off down a “slippery slope” that will lead to information we’d be better off without. -
An Assessment of Lie Detection Capability (1964)
IDA TECHNICAL REPORT 62-16 AN ASSESSMENT OF LIE DETECTION CAPABILITY (DECLASSIFIED VERSION) Jesse Orlansky July 1964 (classified version issued July 1962) INSTITUTE FOR DEFENSE ANALYSES RESEARCH AND ENGINEERING SUPPORT DIVISION Contract SD-50 Task 8 FOREWORD "An Assessment of Lie Detection Capability" was originally pub- lished as a SECRET NOPORN document by IDA/RESD on July 31, 1962, as TR 62-16. The Director of Defense Research and Engineering, Depart- ment of Defense, deleted portions of the repoit and declassified the remainder on May 13, 1964. The declassified version was printed as Exhibit 25 (pp. 425 to 463) of "Hearings Before a Subcommittee nf the Committee of Government Operations, House of Representatives, Eighty- Eighth Congress, Second Session, April 29 and 30, 1964," by the U.S. Government Printing Office. Except for the forematter, this reprint of the unclassified ver- sion is a facsimile reproduction of Exhibit 25. Three asterisks (* **) indicate that less than a pargrap has been deleted. A line of seven asterisks * * * ) Indicates deletion of one or more paragraphas. The coeplote report rtans its original classification. iii ACXNOWLEDCI4EN! The author wishes to thank many individuals who assisted this study by providing information and by reviewing a preliminary draft. This assistance is acknowledged gratefully but the author alone is accountable for the views expressed in this report. Dr. Joseph E. Barmack of the Institute for Defense Analyses is due a special thanks for his help in preparing the final report. v CONTENTS Foreword ii Acknowledgment v Contents vii Summary ix Conclusions xi Recommendations xiii 1. Purpose of This Report 1 2. -
App Stores for the Brain: Privacy & Security in Brain-Computer Interfaces∗
App Stores for the Brain: Privacy & Security in Brain-Computer Interfaces∗ Tamara Bonaci1, Ryan Calo2 and Howard Jay Chizeck1 Abstract—An increasing number of Brain-Computer Inter- training time and user effort, while enabling faster and more faces (BCIs) are being developed in medical and nonmedical accurate translation of users’ intended messages. fields, including marketing, gaming and entertainment industries. BCI-enabled technology carries a great potential to improve and This development raises, however, new questions about enhance the quality of human lives. It provides people suffering privacy and security. At the 2012 USENIX Security Sympo- from severe neuromuscular disorders with a way to interact with sium, researchers introduced the first BCI-enabled malicious the external environment. It also enables a more personalized application, referred to as “brain spyware”. The application user experience in gaming and entertainment. was used to extract private information, such as credit card These BCI applications are, however, not without risk. Es- PINs, dates of birth and locations of residence, from users’ tablished engineering practices set guarantees on performance, recorded EEG signals [31]. reliability and physical safety of BCIs. But no guarantees or standards are currently in place regarding user privacy and As BCI technology spreads further (towards becoming security. In this paper, we identify privacy and security issues ubiquitous), it is easy to imagine more sophisticated ”spy- arising from possible misuse or inappropriate use of BCIs. In ing” applications being developed for nefarious purposes. particular, we explore how current and emerging non-invasive Leveraging recent neuroscience results (e.g., [11], [17], [26], BCI platforms can be used to extract private information, and we [37]), it may be possible to extract private information about suggest an interdisciplinary approach to mitigating this problem. -
Neuroscience and Neuroethics in the St Century
OUP UNCORRECTED PROOF – FIRST-PROOF, 07/10/2010, GLYPH 1 chapter 2 neuroscience and 3 neuroethics in the st 4 century 5 martha j. farah 6 Neuroethics: from futuristic to 7 here-and-now 8 One might not know it to see the numerous chapters of this Handbook summarizing prog- 9 ress on a wide array of topics, but the fi eld of neuroethics is very young. Most would date its 10 inception to the year 2002, when conferences were held on the ethical implications of neu- 11 roscience at Penn and at Stanford-UCF and a few early papers appeared (Farah 2002 ; Illes 12 and Raffi n 2002 ; Moreno 2002; Roskies 2002 ). Initially neuroethics was a predominantly 13 anticipatory fi eld, focused on future developments in neuroscience and neurotechnology. In 14 his introduction to the Stanford conference, “Neuroethics: Mapping the Field,” William 15 Safi re explained the distinctiveness of neuroethics, compared to bioethics more generally, 16 by explaining that neuroscience “deals with our consciousness, our sense of self … our per- 17 sonalities and behavior. And these are the characteristics that brain science will soon be able 18 to change in signifi cant ways” (quoted in Marcus 2002, p. 7, emphasis added). 19 Neuroethics has developed rapidly since then, driven in large part by developments in 20 neuroscience. Th e anticipation and extrapolation that characterized its earliest years, which 21 some skeptics dismissed as science fi ction, has receded. In its place has grown a body of 22 neuroethics research and analysis focusing on actual neuroscience and neurotechnology. 23 What accounts for this change? Part of the shift refl ects the deepening neuroscience exper- 24 tise of many neuroethicists and the migration of neuroscientists to the fi eld of neuroethics. -
The Impact of Neuroscience on Health Law
Scholarly Commons @ UNLV Boyd Law Scholarly Works Faculty Scholarship 2008 The Impact of Neuroscience on Health Law Stacey A. Tovino University of Nevada, Las Vegas -- William S. Boyd School of Law Follow this and additional works at: https://scholars.law.unlv.edu/facpub Part of the Health Law and Policy Commons, Law and Psychology Commons, and the Medical Jurisprudence Commons Recommended Citation Tovino, Stacey A., "The Impact of Neuroscience on Health Law" (2008). Scholarly Works. 84. https://scholars.law.unlv.edu/facpub/84 This Article is brought to you by the Scholarly Commons @ UNLV Boyd Law, an institutional repository administered by the Wiener-Rogers Law Library at the William S. Boyd School of Law. For more information, please contact [email protected]. Neuroethics (2008) 1:101–117 DOI 10.1007/s12152-008-9010-z ORIGINAL PAPER The Impact of Neuroscience on Health Law Stacey A. Tovino Received: 10 February 2008 /Accepted: 25 March 2008 / Published online: 23 April 2008 # Springer Science + Business Media B.V. 2008 Abstract Advances in neuroscience have implica- human subjects,8 and the regulation of neuroscience- tions for criminal law as well as civil and regulatory based technologies.9 Little attention has been paid, law, including health, disability, and benefit law. The however, to the implications of neuroscience for more role of the behavioral and brain sciences in health traditional civil and regulatory health law issues. insurance claims, the mental health parity debate, and In this essay, I explore the ways in which disability proceedings is examined. neuroscience impacts a range of American health, disability, and benefit law issues, including the scope Keywords Health insurance . -
Functional MRI-Based Lie Detection: Acknowledge Possession of the Other5
PERSPECTIVES In one of the earliest studies, subjects NEUROSCIENCE AND THE LAW — SCIENCE AND SOCIETY were given two playing cards and were instructed to deny possession of one and Functional MRI-based lie detection: acknowledge possession of the other5. Subjects underwent fMRI scanning while they viewed a series of cards, including the scientific and societal challenges two critical cards and other cards that they had not been given. A comparison between Martha J. Farah, J. Benjamin Hutchinson, Elizabeth A. Phelps ‘truth’ trials and ‘lie’ trials revealed brain and Anthony D. Wagner activity associated with deception. In a simi- lar task design, subjects mentally picked a Abstract | Functional MRI (fMRI)-based lie detection has been marketed as a tool number between three and eight, and when for enhancing personnel selection, strengthening national security and protecting shown a series of numbers on a screen, personal reputations, and at least three US courts have been asked to admit the denied having picked that number (the criti- results of lie detection scans as evidence during trials. How well does fMRI-based cal lie item) and also denied having picked lie detection perform, and how should the courts, and society more generally, the other numbers (truth items) while undergoing fMRI7. Here again, activity on lie respond? Here, we address various questions — some of which are based on a trials was compared with that on truth trials meta-analysis of published studies — concerning the scientific state of the art in to discover which areas were associated with fMRI-based lie detection and its legal status, and discuss broader ethical and deception in this task. -
Which Lie Detection Tools Are Ready for Use in the Criminal Justice System?
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Portsmouth University Research Portal (Pure) Lie Detection Tools 1 Which Lie Detection Tools are Ready for Use in the Criminal Justice System? Aldert Vrij1 University of Portsmouth (UK) Ronald P Fisher Florida International University (USA) 1 Correspondence concerning this article should be addressed to: Aldert Vrij, University of Portsmouth, Psychology Department, King Henry Building, King Henry 1 Street, PO1 2DY, Portsmouth, Hants, UK or via email: [email protected] Lie Detection Tools 2 We introduce ‘arousal based’ lie detection tools (the Behavior Analysis Interview, the Comparison Question polygraph Test, CQT) and ‘cognition based’ lie detection tools (imposing cognitive load, encouraging interviewees to say more, asking unexpected questions, Strategic Use of Evidence and Verifiability Approach, Concealed Information polygraph Test, CIT), and discuss whether they are ready for use in investigative interviews. We developed ten criteria on which to judge their suitability. The two arousal-based techniques (frequently used) fall short on numerous criteria. There are too many problems associated with the imposing cognitive load technique, but the other cognitive techniques are ready for use (encouraging interviewees to say more and Strategic Use of Evidence) or ready for use if they continue to receive support in empirical research (asking unexpected questions and Verifiability Approach). The CIT polygraph test cannot be included in a standard investigative interview but can be useful in addition to investigative interviewing. Vrij wrote the first draft of the article, Fisher commented on it, and Vrij revised the article based on Fisher's comments. -
Fmri and Lie Detection
Columbia Law School Scholarship Archive Faculty Scholarship Faculty Publications 2016 fMRI and Lie Detection Anthony D. Wagner [email protected] Richard J. Bonnie [email protected] BJ Casey [email protected] Andre Davis [email protected] David L. Faigman See next page for additional authors Follow this and additional works at: https://scholarship.law.columbia.edu/faculty_scholarship Part of the Criminal Law Commons, and the Science and Technology Law Commons Recommended Citation Anthony D. Wagner, Richard J. Bonnie, BJ Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson & Gideon Yaffe, fMRI and Lie Detection, MACARTHUR FOUNDATION RESEARCH NETWORK ON LAW & NEUROSCIENCE, FEBRUARY 2016; VANDERBILT LAW RESEARCH PAPER NO. 17-10 (2016). Available at: https://scholarship.law.columbia.edu/faculty_scholarship/2015 This Working Paper is brought to you for free and open access by the Faculty Publications at Scholarship Archive. It has been accepted for inclusion in Faculty Scholarship by an authorized administrator of Scholarship Archive. For more information, please contact [email protected]. Authors Anthony D. Wagner, Richard J. Bonnie, BJ Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, and Gideon Yaffe This working paper is available at Scholarship Archive: https://scholarship.law.columbia.edu/faculty_scholarship/ 2015 Attached hereto: fMRI and Lie Detection A Knowledge Brief of the MacArthur Foundation Research Network on Law and Neuroscience Cite as: Anthony Wagner, Richard J.