The article, fully titled Brain Scans as Evidence, Truths, Proofs, Lies, and Lessons, was writted by Francis Shen and Owen Jones, published in the Mercer Law Review, Vol. 62, p. 861, 2011, and is available via SSRN here. It discusses the general concerns and proffers the authors’ conclusions about the state of brain scan evidence after US v. Semrau, in which brain scans were offered to show that the defendant was honest. The evidence was excluded, but the fact that an intense legal battle preceded the decision indicates a growing interest in and the growing legal relevance of brain-based evidence.
The authors survey some of the basic techniques that technicians hope will allow brain imaging to detect lies, including EEG and fMRI studies, and the limitations of those techniques at present. They also review the difference between the questions that neuro scientists tend to be asking, and the questions that the legal system asks, which will be familiar to readers here.
There is also a brief run-down of the history of the case and the process that produced the evidence in question. There are no standardized procedures at present for determining whether someone is telling the truth on any neural imaging machine, which of course suggests a lack of scientific consensus. Notable, though, is that the person who ran and analyzed the tests, Dr. Laken, was offered as a witness who would state that the defendant did not think he was lying about the issue at contest, in this case Medicare billing. Traditionally witnesses are prohibited from testifying to issues of ultimate fact in a case, and as per the defense team here, the case largely boiled down to whether or not the defendant was lying. That a witness was offered and potentially could have testified so directly to the matter at hand is itself a significant break-through.
Legal readers will know what I mean when I report that the evidence failed the Daubert test, but for people not so afflicted, what it means is that the court didn’t believe that the state of scientific evidence from this field was yet concrete and reliable enough to be admitted in court. Notably a couple of contributors from the MacArthur Law and Neuroscience Project testified for the government, against the admission of the evidence, in accordance with that project’s general opposition to the introduction of neuro evidence in criminal law. Nevertheless, I agree that no scientific consensus has been reached, and that the evidence in this case was particularly dicey.
The evidence was also excluded because of the danger of unfair prejudice, which is independently interesting. In law, evidence may be excluded if the danger of unfair prejudice outweighs the probitive value, that is, the value a fact has in suggesting that the defendant is or isn’t guilty. For example, the fact that someone is a pedophile may suggest that they’re somewhat dishonest, which may suggest that they’re more likely to have cheated on their taxes, but the prejudice against pedophiles is so strong that such evidence should be excluded anyway, even if true and somewhat probitive. The concern was that the evidence of the defendant’s general truthfulness would be prejudicial when it couldn’t address the truthfulness of specific statements, and there was another argument here that ultimately, credibility is a question for the jury, not for expert testimony.
The authors lay out some specific barriers to the introduction of neural imagining for the purpose of detecting lies. First, obviously, certain techniques may not be measuring anything we consider relevant to the legal definition of lying. There are some complicated semantics here that are unfortunately quite important in the legal field, such as the difference between intentional lying about a past event and honestly holding a mistaken belief about a past event. In my mind this highlights the fallacy of leaving lie-detection to a panel of laymen, necessarily untrained in both the legal definitions and the scientific ones, but it is admittedly a hurdle that neural imaging will have to overcome.
The authors specifically conclude that a study must be sufficiently realistic in order to be admissible, which I disagree with. It may end up being true that lying in a variety of situations activates the same part of the brain, and if so then a low-stakes relaxed lie in a neuro experiment would be sufficiently similar to a high-stakes lie in a difficult cross-examination, and evidence of the former should be as admissible as the latter. There are good reasons to think that this won’t be true, since lying is probably a distributed process, but requiring that much similarity between the laboratory process and the court analogue is unfair and not warranted by the state of scientific knowledge at present. Similarly, asking courts to consider the role and possibility of intentional fMRI counter-measures is ridiculous, in light of the fact that scientists who work in the field have no idea if specific countermeasures would be effective, or to what degree. This is just a general case of the more useful statement that more research needs to be done, easily countered with the observation that the quality of scientific testimony will improve as that work happens.
I have a similar analysis of the rest of the authors’ proffered elements that courts should consider when deciding to admit or not admit brain-based evidence. They are asking courts to take the place of peer review, and they are suggesting that evidence shouldn’t be admitted until it’s above a threshold of consensus and consistency that no other field of scientific evidence satisfies or can satisfy. They are moreover asking the court to make judgments about the weight of the evidence, which is for the jury, and to make expert conclusions which, one presumes, a judge will not be qualified to make. Applying the same sort of rigorous and unwieldy analysis would make it impossible to prove that cigarettes cause cancer, for example, because while there is a fairly firm scientific consensus that this is so, there are plenty of alternative theories, and it’s hard to extrapolate from population studies to an individual, and so on.
While their conclusion is hopeful, and while their concerns are valid, their paper suffers from a failure to compare even admittedly faulty neuroscience evidence to what we use now. Consider an analogy between psychology and the uninformed, intuitive approach to mental illness. As a proponent of neuroscience, I would be the first to criticize much of psychology as a vague and muddy process in which multiple contradictory ideas of the brain co-exist, and in which the legitimate data from behavioral psych is shoe-horned into hasty amalgamates of theory as is convenient. However, while the psychological approach to mental illness has obvious and continuing problems, it is vastly superior to, for example, theories of mental illness that equate it to the result of witchcraft. Requiring psychology to have become internally consistent, repeatable, and easily applied from the group to the individual before allowing it to make an appearance in the law would have prolonged the dark and inhumane time in which we treated mental illness with simple violence. A method of scientific investigation can be full of holes and still appreciably better than the often vicious natural approach, which is all that law has to use in the absence of an admittedly imperfect scientific approach.
In considering neuroscientific evidence on lying, we need to temper criticism and concern over new technologies with a frank understanding of the fact that people are exceptionally poor lie-detectors themselves. The law essentially ignores this by making the jury process a black box, but there is no excuse for commentators on the law, scientists included, not to consider that even a crude and defective scientific approach may be exponentially better than the status quo.