Law Commons^™

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon

Faculty Scholarship

The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …

Machine Learning-Based Medical Devices: The Fda’S Regulation, Requirements, And Restrictions, Charli Beam

Journal of Law and Health

The FDA should create functional regulations for the growing number of machine learning medical devices. The healthcare system is increasingly using these devices for diagnosis. Machine learning devices trained on biased data sets are susceptible to furthering certain types of bias and generating flawed outcomes. The FDA should require ML medical devices to include a label that describes the demographics of the tested population. If manufacturers fail to include this information, the FDA could determine the label false or misleading under §502 of the FD&C Act and stop sales of the device. After approval, the FDA should use §814.89(2) and …

Considering "Machine Testimony": The Impact Of Facial Recognition Software On Eyewitness Identifications, Valena Beety

Articles by Maurer Faculty

This Article uses a wrongful conviction lens to compare identifications by machines, notably facial recognition software, with identifications by humans. The Article advocates for greater reliability checks on both before use against a criminal defendant. The Article examines the cascading influence of facial recognition software on eyewitness identifications themselves and the related potential for greater errors. As a solution, the Article advocates the inclusion of eyewitness identification in the Organization of Scientific Area Committees' ("OSAC") review of facial recognition software for a more robust examination and consideration of software and its usage. The Article also encourages police departments to adopt …

Robophobia, Andrew Keane Woods

University of Colorado Law Review

Robots-machines, algorithms, artificial intelligence-play an increasingly important role in society, often supplementing or even replacing human judgment. Scholars have rightly become concerned with the fairness, accuracy, and humanity of these systems. Indeed, anxiety about machine bias is at a fever pitch. While these concerns are important, they nearly all run in one direction: we worry about robot bias against humans; we rarely worry about human bias against robots.

This is a mistake. Not because robots deserve, in some deontological sense, to be treated fairly-although that may be true-but because our bias against nonhuman deciders is bad for us. For example, …

Towards A Calibrated Trust-Based Approach To The Use Of Facial Recognition Technology, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

The use of facial recognition technology has given rise to much debate relating to issues concerning privacy infringements, bias and inaccuracies of data and outputs, possibilities of covert use, the lack of data security and the problem of function creep. Certain states and jurisdictions have called for bans and moratoria on the use of facial recognition technology. This paper argues that a blanket ban on facial recognition technology would be overly precautionary without fully considering the wide range of uses and benefits of the innovation. To promote its acceptance, trust in facial recognition technology should be developed in a calibrated …

Facial Recognition And The Fourth Amendment, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Facial recognition offers a totalizing new surveillance power. Police now have the capability to monitor, track, and identify faces through networked surveillance cameras and datasets of billions of images. Whether identifying a particular suspect from a still photo, or identifying every person who walks past a digital camera, the privacy and security impacts of facial recognition are profound and troubling.

This Article explores the constitutional design problem at the heart of facial recognition surveillance systems. One might hope that the Fourth Amendment – designed to restrain police power and enacted to limit governmental overreach – would have something to say …

Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim

Faculty Scholarship

The shift towards the use of algorithms in business has transformed merchant–consumer interactions. Products and services are increasingly tailored for consumers through algorithms that collect and analyze vast amounts of data from interconnected devices, digital platforms, and social networks. While traditionally merchants and marketeers have utilized market segmentation, customer demographic profiles, and statistical approaches, the exponential increase in consumer data and computing power enables them to develop and implement algorithmic techniques that change consumer markets and society as a whole. Algorithms enable targeting of consumers more effectively, in real-time, and with high predictive accuracy in pricing and profiling strategies. In …

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

Law Library Blog (November 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Reflections On The Use Of Facial Recognition Technology During Covid-19, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

During the COVID-10 pandemic, infected persons have been quarantined in segregated facilities. Individuals who have been in contact with the infected persons may be subject to self-isolation measures or stay-home notices. Technological tools such as proximity and contact tracing apps are used to identify those who have been in close contact with infected persons. The contact tracing QR code used in Singapore's SafeEntry requires the submission of personal information (including names and identification numbers) prior to entry into certain public places such as malls, factories and restaurants. Robots, in addition to designated human officers, have been delpoyed to maintain social …

Are Litigation Outcome Disparities Inevitable? Courts, Technology, And The Future Of Impartiality., Avital Mentovich, J.J. Prescott, Orna Rabinovich-Einy

Articles

This article explores the ability of technology—specifically, online judicial procedures—to eliminate systematic group-level litigation outcome disparities (i.e., disparities correlated with the visible identity markers of litigants). Our judicial system has long operated under the assumption that it can only be “impartial enough.” After all, judges, like all human beings, harbor implicit biases that are often sizable, unconscious, and triggered automatically, and research indicates that strategies to curb implicit biases in human decision making may be ineffective, especially in the face of the resource and caseload constraints of modern-day adjudication. The recent emergence of online court proceedings, however, offers new hope …

Medical Ai And Contextual Bias, W. Nicholson Price Ii

Articles

Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …

Saliency, Anchors & Frames: A Multicomponent Damages Experiment, Bernard Chao

Michigan Technology Law Review

Modern technology products contain thousands, sometimes hundreds of thousands, of different features. Nonetheless, when electronics manufacturers are sued for patent infringement, these suits typically accuse only one feature, or in more complex suits, a handful of features, of actual patent infringement. But damages verdicts often do not reflect the relatively small contribution an individual patent makes to an infringing product. One study observed that verdicts in these types of cases average 9.98% of the price of the entire product. While both courts and commentators have blamed the law of patent damages, the role cognitive biases play in these outsized damages …

Illuminating Black Data Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

The future of policing will be driven by data. Crime, criminals, and patterns of criminal activity will be reduced to data to be studied, crunched, and predicted. The benefits of big data policing involve smarter policing, faster investigation, predictive deterrence, and the ability to visualize crime problems in new ways. Not surprisingly then, police administrators have been seeking out new partnerships with sophisticated private data companies and experimenting with new surveillance technologies. This potential future, however, has a very present limitation. It is a limitation largely ignored by adopting jurisdictions and could, if left unaddressed, delegitimize the adoption and use …

The Disruptive Neuroscience Of Judicial Choice, Anna Spain Bradley

Publications

Scholars of judicial behavior overwhelmingly substantiate the historical presumption that most judges act impartially and independent most of the time. The reality of human behavior, however, says otherwise. Drawing upon untapped evidence from neuroscience, this Article provides a comprehensive evaluation of how bias, emotion, and empathy—all central to human decision-making—are inevitable in judicial choice. The Article offers three novel neuroscientific insights that explain why this inevitability is so. First, because human cognition associated with decision-making involves multiple, and often intersecting, neural regions and circuits, logic and reason are not separate from bias and emotion in the brain. Second, bias, emotion, …

Experts, Statistics, Science & Bad Science, Curtis E.A. Karnow

Curtis E.A. Karnow

Articles, books, and other online resources relating to expert testimony with a specific focus on problems with peer review, bad science, and statistics

Instrument Choice, Carbon Emissions, And Information, Michael Wara

Michigan Journal of Environmental & Administrative Law

This Article examines the consequences of a previously unrecognized difference between pollutant cap-and-trade schemes and pollution taxes. Implementation of cap-and-trade relies on a forecast of future emissions, while implementation of a pollution tax does not. Realistic policy designs using either regulatory instrument almost always involve a phase-in over time to avoid economic disruption. Cap-and-trade accomplishes this phase-in via a limit on emissions that falls gradually below the forecast of future pollutant emissions. Emissions taxation accomplishes the same via a gradually increasing levy on pollution. Because of the administrative complexity of establishing an emissions trading market, cap-and-trade programs typically require between …

Legal Reasoning And Scientific Reasoning, Phoebe C. Ellsworth

Articles

In my presentation for the 2010 Meador Lectures on Rationality, I chose to compare legal reasoning and scientific reasoning. Both law and science pride themselves on the rationality of their intellectual methods and believe that those methods are designed to analyze questions and reach the correct conclusions by means of reason, free from cognitive or emotional biases. Of course, both law and science often fall short of this ideal at all levels, from the decisions about individual legal cases or scientific studies to the acceptance of general theories. In many ways, the biases that mislead legal and scientific thinkers are …

Expert Information And Expert Evidence: A Preliminary Taxonomy, Samuel R. Gross, Jennifer L. Mnookin

Articles

Federal Rule of Evidence 702 speaks in very general terms. It governs every situation in which "scientific, technical or other specialized knowledge will assist the trier of fact," and provides that, in that situation, "a witness qualified as an expert by knowledge, skill, experience, or education, may testify thereto in the form of an opinion or otherwise . . . .' In 2000, following a trio of Supreme Court cases interpreting Rule 702, the Rule was amended to include a third requirement, in addition to the helpfulness of the testimony and the qualifications of the witness: reliability. Under Rule 702 …

Judges, Juries, And Patent Cases - An Emprical Peek Inside The Black Box, Kimberly A. Moore

Michigan Law Review

The frequency with which juries participate in patent litigation has skyrocketed recently. At the same time, there is a popular perception that the increasing complexity of technology being patented (especially in the electronic, computer software, biological and chemical fields) has made patent trials extremely difficult for lay juries to understand. These developments have sparked extensive scholarly debate and increasing skepticism regarding the role of juries in patent cases. Juries have participated in some aspects of patent litigation since the enactment of the first patent statute in 1790, which provided for "such damages as shall be assessed by a jury." The …