Evidence Commons^™

Artificial Intelligence As Evidence, Paul W. Grimm, Maura R. Grossman, Gordon V. Cormack

Northwestern Journal of Technology and Intellectual Property

This article explores issues that govern the admissibility of Artificial Intelligence (“AI”) applications in civil and criminal cases, from the perspective of a federal trial judge and two computer scientists, one of whom also is an experienced attorney. It provides a detailed yet intelligible discussion of what AI is and how it works, a history of its development, and a description of the wide variety of functions that it is designed to accomplish, stressing that AI applications are ubiquitous, both in the private and public sectors. Applications today include: health care, education, employment-related decision-making, finance, law enforcement, and the legal …

The Missing Algorithm: Safeguarding Brady Against The Rise Of Trade Secrecy In Policing, Deborah Won

Michigan Law Review

Trade secrecy, a form of intellectual property protection, serves the important societal function of promoting innovation. But as police departments across the country increasingly rely on proprietary technologies like facial recognition and predictive policing tools, an uneasy tension between due process and trade secrecy has developed: to fulfill Brady’s constitutional promise of a fair trial, defendants must have access to the technologies accusing them, access that trade secrecy inhibits. Thus far, this tension is being resolved too far in favor of the trade secret holder—and at too great an expense to the defendant. The wrong balance has been struck.

This …

Scientific Gerrymandering & Bifurcation, Katrina F. Kuh, Megan Edwards, Frederick A. Mcdonald

Elisabeth Haub School of Law Faculty Publications

Environmental litigation must often examine the propriety of corporate conduct in areas of scientific complexity. In the second generation of climate nuisance suits, for example, allegations of corporate participation in the climate disinformation campaign are woven into plaintiffs’ claims. Toxic tort suits, currently and most notably in the Roundup and PFAS litigation, present another area of environmental litigation grappling with the legal ramifications of alleged corporate deception about scientific information. Toxic tort suits often surface allegations, and in many cases disturbing evidence, of what we term corporate “scientific gerrymandering”— corporate efforts to finesse, slow, or even mislead scientific understanding of …

The Absence Or Misuse Of Statistics In Forensic Science As A Contributor To Wrongful Convictions: From Pattern Matching To Medical Opinions About Child Abuse, Keith A. Findley

Dickinson Law Review (2017-Present)

The new scrutiny that has been applied to the forensic sciences since the emergence of DNA profiling as the gold standard three decades ago has identified numerous concerns about the absence of a solid scientific footing for most disciplines. This article examines one of the lesser-considered problems that afflicts virtually all of the pattern-matching (or “individualization”) disciplines (largely apart from DNA), and even undermines the validity of other forensic disciplines like forensic pathology and medical determinations about child abuse, particularly Shaken Baby Syndrome/Abusive Head Trauma (SBS/AHT). That problem is the absence or misuse of statistics. This article begins by applying …

Table Of Contents, Seattle University Law Review

Seattle University Law Review

Table of Contents

Table Of Contents, Seattle University Law Review

Seattle University Law Review

Table of Contents and Special Thanks.

A Monopoly Of Thought—How Growing Anticompetitive Practices On The Internet Affect Creative Work, Laurel Brown

Seattle University Law Review

This Note will address how dominant Internet companies detrimentally impact creative work and how legal solutions might be employed to combat the damage inflicted by online monopolies. Part I will focus on how certain Internet companies became dominant, showing an evolution from egalitarian ideals to the consolidated control of the World Wide Web (the web) by companies like Google, Facebook, and Amazon. In Part II, this Note will focus on how two particular companies—Google and Facebook—affect creative endeavors in their control of access to audiences and by determining the economics of content production on the Internet. Part III details what …

The Easterbrook Theorem: An Application To Digital Markets, Joshua D. Wright, Murat C. Mungan

Faculty Scholarship

The rise of large firms in the digital economy, including Amazon, Apple, Facebook, and Google, has rekindled the debate about monopolization law. There are proposals to make finding liability easier against alleged digital monopolists by relaxing substantive standards; to flip burdens of proof; and to overturn broad swaths of existing Supreme Court precedent, and even to condemn a law review article. Frank Easterbrook’s seminal 1984 article, The Limits of Antitrust, theorizes that Type I error costs are greater than Type II error costs in the antitrust context, a proposition that has been woven deeply into antitrust law by the Supreme …

Confronting The Biased Algorithm: The Danger Of Admitting Facial Recognition Technology Results In The Courtroom, Gabrielle M. Haddad

Vanderbilt Journal of Entertainment & Technology Law

From unlocking an iPhone to Facebook “tags,” facial recognition technology has become increasingly commonplace in modern society. In the wake of the Black Lives Matter movement and call for police reform in the United States, it is important now more than ever to consider the implications of law enforcement’s use of facial recognition technology. A study from the National Institute of Standards and Technology found that facial recognition algorithms generated higher rates of false positives for Black faces—sometimes up to one hundred times more false identifications—than white faces. Given the embedded bias of this technology and its increased prevalence, the …

Artificial Intelligence As Evidence, Paul W. Grimm, Maura R. Grossman, Gordon V. Cormack

Faculty Scholarship

This article explores issues that govern the admissibility of Artificial Intelligence (“AI”) applications in civil and criminal cases, from the perspective of a federal trial judge and two computer scientists, one of whom also is an experienced attorney. It provides a detailed yet intelligible discussion of what AI is and how it works, a history of its development, and a description of the wide variety of functions that it is designed to accomplish, stressing that AI applications are ubiquitous, both in the private and public sectors. Applications today include: health care, education, employment-related decision-making, finance, law enforcement, and the legal …