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 …

Coded Social Control: China’S Normalization Of Biometric Surveillance In The Post Covid-19 Era, Michelle Miao

Washington Journal of Law, Technology & Arts

This article investigates the longevity of health QR codes, a digital instrument of pandemic surveillance, in post-COVID China. From 2020 to 2022, China widely used this tri-color tool to combat the COVID-19 pandemic. A commonly held assumption is that health QR codes have become obsolete in post-pandemic China. This study challenges such an assumption. It reveals their persistence and integration - through mobile apps and online platforms - beyond the COVID-19 public health emergency. A prolonged, expanded and normalized use of tools which were originally intended for contact tracing and pandemic surveillance raises critical legal and ethical concerns. Moreover, their …

An Exacerbated Power Imbalance: The Danger In Allowing Ai To Render Arbitral Awards In Employment Arbitration, Elizabeth G. Stein

Mitchell Hamline Law Review

No abstract provided.

Code And Prejudice: Regulating Discriminatory Algorithms, Bernadette M. Coyle

Washington and Lee Law Review Online

In an era dominated by efficiency-driven technology, algorithms have seamlessly integrated into every facet of daily life, wielding significant influence over decisions that impact individuals and society at large. Algorithms are deliberately portrayed as impartial and automated in order to maintain their legitimacy. However, this illusion crumbles under scrutiny, revealing the inherent biases and discriminatory tendencies embedded in ostensibly unbiased algorithms. This Note delves into the pervasive issues of discriminatory algorithms, focusing on three key areas of life opportunities: housing, employment, and voting rights. This Note systematically addresses the multifaceted issues arising from discriminatory algorithms, showcasing real-world instances of algorithmic …

Regulation Priorities For Artificial Intelligence Foundation Models, Matthew R. Gaske

Vanderbilt Journal of Entertainment & Technology Law

This Article responds to the call in technology law literature for high-level frameworks to guide regulation of the development and use of Artificial Intelligence (AI) technologies. Accordingly, it adapts a generalized form of the fintech Innovation Trilemma framework to argue that a regulatory scheme can prioritize only two of three aims when considering AI oversight: (1) promoting innovation, (2) mitigating systemic risk, and (3) providing clear regulatory requirements. Specifically, this Article expressly connects legal scholarship to research in other fields focusing on foundation model AI systems and explores this kind of system’s implications for regulation priorities from the geopolitical and …

The Perks Of Being Human, Max Stul Oppenheimer

Washington and Lee Law Review Online

The power of artificial intelligence has recently entered the public consciousness, prompting debates over numerous legal issues raised by use of the tool. Among the questions that need to be resolved is whether to grant intellectual property rights to copyrightable works or patentable inventions created by a machine, where there is no human intervention sufficient to grant those rights to the human. Both the U. S. Copyright Office and the U. S. Patent and Trademark Office have taken the position that in cases where there is no human author or inventor, there is no right to copyright or patent protection. …

A Compulsory Solution To The Machine Problem: Recognizing Artificial Intelligence As Inventors In Patent Law, Cole G. Merritt

Vanderbilt Journal of Entertainment & Technology Law

Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.

To embrace the development and power of AI, Congress …

Regulating Uncertain States: A Risk-Based Policy Agenda For Quantum Technologies, Tina Dekker, Florian Martin-Bariteau

Canadian Journal of Law and Technology

Many countries are taking a national approach to developing quantum strategies with a strong focus on innovation. However, societal, ethical, legal, and policy considerations should not be an afterthought that is pushed aside by the drive for innovation. A responsible, global approach to quantum technologies that considers the legal, ethical, and societal dimensions of quantum technologies is necessary to avoid exacerbating existing global inequalities. Quantum technologies are expected to disrupt other transformative technologies whose legal landscape is still under development (e.g., artificial intelligence [‘‘AI”], blockchain, etc.). The shortcomings of global policies regarding AI and the digital context teach lessons that …

Recognizing Operators’ Duties To Properly Select And Supervise Ai Agents – A (Better?) Tool For Algorithmic Accountability, Richard Zuroff

Canadian Journal of Law and Technology

In November of 2020, the Privacy Commissioner of Canada proposed creating GDPR-inspired rights for decision subjects and allowing financial penalties for violations of those rights. Shortly afterward, the proposal to create a right to an explanation for algorithmic decisions was incorporated into Bill C-11, the Digital Charter Implementation Act. This commentary proposes that creating duties for operators to properly select and supervise artificial agents would be a complementary, and potentially more effective, accountability mechanism than creating a right to an explanation. These duties would be a natural extension of employers’ duties to properly select and retain human employees. Allowing victims …

Copyrighting Brain Computer Interface: Where Neuroengineering Meets Intellectual Property Law, Favio Ramirez Caminatti

Cybaris®

No abstract provided.

Prospects For Legal Analytics: Some Approaches To Extracting More Meaning From Legal Texts, Kevin D. Ashley

University of Cincinnati Law Review

No abstract provided.

Distributed Governance Of Medical Ai, W. Nicholson Price Ii

SMU Science and Technology Law Review

Artificial intelligence (AI) has the potential to democratize expertise in medicine, bring expertise previously limited to specialists to a variety of health-care settings. But AI can easily falter, and making sure that AI works well across that variety of settings is a challenging task. Centralized governance, such as review by the Food and Drug Administration, can only do so much, since system performance will depend on the particular health-care setting and how the AI system is integrated into setting-specific clinical workflows. This Essay presents the need for distributed governance, where some oversight tasks are undertaken in localized settings. It points …

Artificial Intelligence In Canadian Healthcare: Will The Law Protect Us From Algorithmic Bias Resulting In Discrimination?, Bradley Henderson, Colleen M. Flood, Teresa Scassa

Canadian Journal of Law and Technology

In this article, we canvas why AI may perpetuate or exacerbate extant discrimination through a review of the training, development, and implementation of healthcare-related AI applications and set out policy options to militate against such discrimination. The article is divided into eight short parts including this introduction. Part II focuses on explaining AI, some of its basic functions and processes, and its relevance to healthcare. In Part III, we define and explain the difference and relationship between algorithmic bias and data bias, both of which can result in discrimination in healthcare settings, and provide some prominent examples of healthcare-related AI …

The Ratio Method: Addressing Complex Tort Liability In The Fourth Industrial Revolution, Harrison C. Margolin, Grant H. Frazier

St. Mary's Law Journal

Emerging technologies of the Fourth Industrial Revolution show fundamental promise for improving productivity and quality of life, though their misuse may also cause significant social disruption. For example, while artificial intelligence will be used to accelerate society’s processes, it may also displace millions of workers and arm cybercriminals with increasingly powerful hacking capabilities. Similarly, human gene editing shows promise for curing numerous diseases, but also raises significant concerns about adverse health consequences related to the corruption of human and pathogenic genomes.

In most instances, only specialists understand the growing intricacies of these novel technologies. As the complexity and speed of …

Natural Language Processing For Lawyers And Judges, Frank Fagan

Michigan Law Review

A Review of Law as Data: Computation, Text, & the Future of Legal Analysis. Edited by Michael A. Livermore and Daniel N. Rockmore.

Brain-Computer-Interfacing & Respondeat Superior: Algorithmic Decisions, Manipulation, And Accountability In Armed Conflict, Salahudin Ali

Catholic University Journal of Law and Technology

This article examines the impact that brain-computer-interfacing platforms will have on the international law of armed conflict’s respondeat superior legal regime. Major Ali argues that the connection between the human brain and this nascent technology’s underlying technology of artificial intelligence and machine learning will serve as a disruptor to the traditional mental prerequisites required to impart culpability and liability on commanders for actions of their troops. Anticipating that BCI will become increasingly ubiquitous, Major Ali’s article offers frameworks for solution to BCI’s disruptive potential to the internal law of armed conflict.

Human-Machine Teaming And Its Legal And Ethical Implications, Jim Q. Chen, Thomas Wingfield

Military Cyber Affairs

Humans rely on machines in accomplishing missions while machines need humans to make them more intelligent and more powerful. Neither side can go without the other, especially in complex environments when autonomous mode is initiated. Things are becoming more complicated when law and ethical principles should be applied in these complex environments. One of the solutions is human-machine teaming, as it takes advantage of both the best humans can offer and the best that machines can provide. This article intends to explore ways of implementing law and ethical principles in artificial intelligence (AI) systems using human-machine teaming. It examines the …

Algorithmic Opacity, Private Accountability, And Corporate Social Disclosure In The Age Of Artificial Intelligence, Sylvia Lu

Vanderbilt Journal of Entertainment & Technology Law

Today, firms develop machine-learning algorithms to control human decisions in nearly every industry, creating a structural tension between commercial opacity and democratic transparency. In many of their commercial applications, advanced algorithms are technically complicated and privately owned, which allows them to hide from legal regimes and prevents public scrutiny. However, they may demonstrate their negative effects—erosion of democratic norms, damages to financial gains, and extending harms to stakeholders—without warning. Nevertheless, because the inner workings and applications of algorithms are generally incomprehensible and protected as trade secrets, they can be completely shielded from public surveillance. One of the solutions to this …

The Digital Samaritans, Eldar Haber

Washington and Lee Law Review

Bystanderism is becoming largely digital. If being subjected to perilous situations was once reserved almost solely for the physical world, individuals now might witness those in peril digitally from afar via online livestreams. New technological developments in the field of artificial intelligence (AI) might also expand bystanderism to new fields, whereby machines—not just humans—are gradually positioned to better compute their surroundings, thus potentially being capable of reaching a high statistical probability that a perilous situation is currently taking place in their vicinity. This current and future expansion of bystanderism into the digital world forms a rather new type of digital …

A Siri-Ous Societal Issue: Should Autonomous Artificial Intelligence Receive Patent Or Copyright Protection?, Samuel Scholz

Cybaris®

No abstract provided.

Introduction: Intelligent Entertainment: Shaping Policies On The Algorithmic Generation And Regulation Of Creative Works, Hannibal Travis

FIU Law Review

No abstract provided.

Can Algorithms Promote Fair Use?, Peter K. Yu

FIU Law Review

No abstract provided.

The Devil In The Detail: Mitigating The Constitutional & Rule Of Law Risks Associated With The Use Of Artificial Intelligence In The Legal Domain, Catrina Denvir, Tristan Fletcher, Jonathan Hay, Pascoe Pleasence

Florida State University Law Review

No abstract provided.

Neuroscience, Artificial Intelligence, And The Case Against Solitary Confinement, Francis X. Shen

Vanderbilt Journal of Entertainment & Technology Law

Prolonged solitary confinement remains in widespread use in the United States despite many legal challenges. A difficulty when making the legal case against solitary confinement is proffering sufficiently systematic and precise evidence of the detrimental effects of the practice on inmates' mental health. Given this need for further evidence, this Article explores how neuroscience and artificial intelligence (AI) might provide new evidence of the effects of solitary confinement on the human brain.

This Article argues that both neuroscience and AI are promising in their potential ability to present courts with new types of evidence on the effects of solitary confinement …

Siri-Ously? Free Speech Rights And Artificial Intelligence, Toni M. Massaro, Helen Norton

Northwestern University Law Review

Computers with communicative artificial intelligence (AI) are pushing First Amendment theory and doctrine in profound and novel ways. They are becoming increasingly self-directed and corporal in ways that may one day make it difficult to call the communication ours versus theirs. This, in turn, invites questions about whether the First Amendment ever will (or ever should) cover AI speech or speakers even absent a locatable and accountable human creator. In this Article, we explain why current free speech theory and doctrine pose surprisingly few barriers to this counterintuitive result; their elasticity suggests that speaker humanness no longer may be …

Keeping Ai Legal, Amitai Etzioni, Oren Etzioni

Vanderbilt Journal of Entertainment & Technology Law

AI programs make numerous decisions on their own, lack transparency, and may change frequently. Hence, unassisted human agents, such as auditors, accountants, inspectors, and police, cannot ensure that AI-guided instruments will abide by the law. This Article suggests that human agents need the assistance of AI oversight programs that analyze and oversee operational AI programs. This Article asks whether operational AI programs should be programmed to enable human users to override them; without that, such a move would undermine the legal order. This Article also points out that AI operational programs provide high surveillance capacities and, therefore, are essential for …

Of Bitcoins, Independently Wealthy Software, And The Zero-Member Llc, Shawn Bayern

Northwestern University Law Review

No abstract provided.

Intelligent Agents: Authors, Makers, And Owners Of Computer-Generated Works In Canadian Copyright Law, Rex M. Shoyama

Canadian Journal of Law and Technology

The central objective of this article is to propose a clarification of copyright law as applied to works created by intelligent agents. In Part I, the concepts of artificial intelligence and intelligent agents are introduced. Part II identifies the challenges that are presented to the tests of originality and authorship in the application of copyright to works generated by intelligent agents. It is argued that works created by intelligent agents may meet the tests of originality and authorship. It is also argued that the con- cepts of ‘‘author’’, ‘‘owner’’, and ‘‘maker’’ are distinct from one another in Canadian copyright law. …

Smoke And Mirrors Or Science? Teaching Law With Computers - A Reply To Cass Sunstein On Artificial Intelligence And Legal Science, Eric Engle

Richmond Journal of Law & Technology

The application of computer science in the law has largely, and productively, centered on educational programs and programs generating and managing databases and data management. Some limited work, however, has been done in the use of artificial intelligence (“AI”) to present models of legal decision-making. The majority of the work involving AI in the law, as the majority of work in AI generally, has focused on developing expert systems. An expert system attempts to solve one problem, or one class of problems well and should be distinguished from general systems, which seek to solve any problem. While databases and didactic …