Law Commons^™

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 …

Deep Fakes: The Algorithms That Create And Detect Them And The National Security Risks They Pose, Nick Dunard

James Madison Undergraduate Research Journal (JMURJ)

The dissemination of deep fakes for nefarious purposes poses significant national security risks to the United States, requiring an urgent development of technologies to detect their use and strategies to mitigate their effects. Deep fakes are images and videos created by or with the assistance of AI algorithms in which a person’s likeness, actions, or words have been replaced by someone else’s to deceive an audience. Often created with the help of generative adversarial networks, deep fakes can be used to blackmail, harass, exploit, and intimidate individuals and businesses; in large-scale disinformation campaigns, they can incite political tensions around the …

How Can I Tell If My Algorithm Was Reasonable?, Karni A. Chagal-Feferkorn

Michigan Technology Law Review

Self-learning algorithms are gradually dominating more and more aspects of our lives. They do so by performing tasks and reaching decisions that were once reserved exclusively for human beings. And not only that—in certain contexts, their decision-making performance is shown to be superior to that of humans. However, as superior as they may be, self-learning algorithms (also referred to as artificial intelligence (AI) systems, “smart robots,” or “autonomous machines”) can still cause damage.

When determining the liability of a human tortfeasor causing damage, the applicable legal framework is generally that of negligence. To be found negligent, the tortfeasor must have …

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.

From Automation To Autonomy: Legal And Ethical Responsibility Gaps In Artificial Intelligence Innovation, David Nersessian, Ruben Mancha

Michigan Technology Law Review

The increasing prominence of artificial intelligence (AI) systems in daily life and the evolving capacity of these systems to process data and act without human input raise important legal and ethical concerns. This article identifies three primary AI actors in the value chain (innovators, providers, and users) and three primary types of AI (automation, augmentation, and autonomy). It then considers responsibility in AI innovation from two perspectives: (i) strict liability claims arising out of the development, commercialization, and use of products with built-in AI capabilities (designated herein as “AI artifacts”); and (ii) an original research study on the ethical practices …

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.

Sounds Of Science: Copyright Infringement In Ai Music Generator Outputs, Eric Sunray

Catholic University Journal of Law and Technology

The music business is no stranger to disruptive technology. The industry’s apparent comeback from the devastating downturn caused by illegal file sharing seems to have arrived just in time for what may be an even more disruptive technological phenomenon: artificial intelligence (“AI”). Much has been said about the implications of AI-generated music, ranging from issues of ownership, to rights of publicity. However, there has been surprisingly little discussion of infringement in the AI systems’ outputs. By examining the functionality of AI music generators through the lens of de minimis use case law, this paper will explain how the outputs of …

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 …

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 …

Technology’S Influence On Federal Sentencing: Past, Present, And Future, Matthew G. Rowland

Washington and Lee Journal of Civil Rights and Social Justice

The comprehensive reforms that govern today’s federal sentencing processes were fashioned nearly forty years ago. Those reforms were designed to address concerns regarding the effectiveness, transparency, and fairness of the preexisting indeterminant sentencing system. Today, criticisms are mounting against the very reforms that were once held out to save the sentencing process. The more determinant system is being accused of being biased against minorities, overly harsh, and costly.

This Article explores how the criminal justice system might look to technology and build on the practical experience from the indeterminant and determinant systems. Tools such as Artificial Intelligence (AI) can help …

Statistical Precedent: Allocating Judicial Attention, Ryan W. Copus

Vanderbilt Law Review

The U.S. Courts of Appeals were once admired for their wealth of judicial attention and for their generosity in distributing it. At least by legend, almost all cases were afforded what William Richman and William Reynolds have termed the “Learned Hand Treatment.” Guided by Judge Learned Hand’s commandment that “[t]hou shalt not ration justice,” a panel of three judges would read the briefs, hear oral argument, deliberate at length, and prepare multiple drafts of an opinion. Once finished, the judges would publish their opinion, binding themselves and their colleagues in accordance with the common-law tradition. The final opinion would be …

The 21st Century Cowboy: Robots On The Range, Henry H. Perritt Jr.

University of Arkansas at Little Rock Law Review

No abstract provided.

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

Cybaris®

No abstract provided.

Artificial Creativity: A Case Against Copyright For Ai-Created Visual Artwork, Megan Svedman

IP Theory

Artificial intelligence is becoming increasingly complex, and provides examples of compelling, human-like performances. One such artificial intelligence technology is known as Creative Adversarial Network (“CAN”) technology, which relies on inputs of preexisting pieces of art to create pieces of original art that pass as human-made. Whether the coders responsible for CAN-technology should be granted coverage for the resultant art remains an open question in United States jurisprudence. This paper seeks to explore why, given both software’s historical legacy in copyright law and bedrock copyright justifications, extending copyright coverage to the coders responsible for CAN technology would be a grave misstep …

Beneficial Precaution: A Proposed Approach To Uncertain Technological Dangers, Edward L. Rubin

Vanderbilt Journal of Entertainment & Technology Law

As a result of the specialization and cumulation of knowledge in the era of High Modernity, research and development in most technical fields is largely incomprehensible to anyone outside that field. What should policy makers do when technical specialists disagree, and particularly when some predict an oncoming catastrophe and others dismiss the concern? This is the situation with the so-called Singularity, the point at which machines design, build, and operate other machines. Some experts in cybernetics and artificial intelligence argue that this is imminent, while others consign the possibility to science fiction. If the skeptics are right, nothing need be …

Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin Ashley

IP Theory

We describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker’s attention, and (2) suggesting simple inferences that can be drawn from that information.

We begin by summarizing the law related to …

Ai Entities As Ai Agents: Artificial Intelligence Liability And The Ai Respondeat Superior Analogy, Anat Lior

Mitchell Hamline Law Review

No abstract provided.

Technology, The Changing Nature Of Disputes, And The Future Of Equitable Principles In Canadian Contract Law, Conrad Flaczyk

Canadian Journal of Law and Technology

There are a number of legitimate reasons to be excited about the application of new technologies to make contracting more efficient. Unfortunately, each of those reasons is associated with certain risks for both contractors and contractees. In this article, I argue that an ‘‘equitable” approach to modern contract law — understood by the likes of Larry DiMatteo and others ‘‘not merely as a system of rules, but of rules tempered by standards and principles” — is particularly well suited for counterbalancing some of the undesirable contractual risks introduced by new technologies like blockchain, artificial intelligence, and smart contracts. A historical …

Hardship And Hard Drives: Artificial Intelligence, Judicial Decision-Making, And The Discharge Of Student Loan Debt, Forrest Finn

Canadian Journal of Law and Technology

Section 178(1.1) of the Bankruptcy and Insolvency Act allows individuals to apply for discretionary relief from the non-dischargeable nature of student loan debts. Subparagraph (b) of this relief establishes a ‘‘hardship” requirement. The elements for this hardship requirement have been developed and applied by judges in the form of standards. The issue addressed in this paper is whether these standards are applied predictably. Using both statistical analysis and machine learning algorithms, this paper demonstrates that judicial decision-making on the hardship requirement is predictable. This predictability has significant implications. Most importantly it suggests that predictive software could be created for s. …

Taxing The Robots, Orly Mazur

Pepperdine Law Review

Robots and other artificial intelligence-based technologies are increasingly outperforming humans in jobs previously thought safe from automation. This has led to growing concerns about the future of jobs, wages, economic equality, and government revenues. To address these issues, there have been multiple calls around the world to tax the robots. Although the concerns that have led to the recent robot tax proposals may be valid, this Article cautions against the use of a robot tax. It argues that a tax that singles out robots is the wrong tool to address these critical issues and warns of the unintended consequences of …

Professions And Expertise: How Machine Learning And Blockchain Are Redesigning The Landscape Of Professional Knowledge And Organization, John Flood, Lachlan Robb

University of Miami Law Review

Machine learning has entered the world of the professions with differential impacts. Automation will have huge impacts on the nature of work and society. Engineering, architecture, and medicine are early and enthusiastic adopters of automation. Other professions, especially law, are late and, in some cases, reluctant adopters. This Article examines the effects of artificial intelligence (“AI”) and Blockchain on professions and their knowledge bases. We start by examining the nature of expertise in general and the function of expertise in law. Using examples from law, such as Gulati and Scott’s analysis of how lawyers create (or don’t create) legal agreements, …

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 …

Sharing The Costs Of Artificial Intelligence: Universal No-Fault Social Insurance For Personal Injuries, Jin Yoshikawa

Vanderbilt Journal of Entertainment & Technology Law

The twenty-first century is the artificial intelligence (AI) century. In the past few years, AI has become a familiar fixture of everyday life thanks to services like YouTube, Spotify, Netflix, and Alexa. Stocktraders, doctors, insurance brokers, real estate agents, recruiters, artists,and even lawyers now rely on predictive tools powered by AI to perform their highly skilled--even creative--tasks. In the following decades, AI will continue to transform more fields and deliver astonishing advancements in convenience, comfort, safety, and security. At the same time, however, AI will bring about new challenges. AI will offend, disrupt, crash, breach, incite, injure, and even kill …

Digital Market Perfection, Rory Van Loo

Michigan Law Review

Google’s, Apple’s, and other companies’ automated assistants are increasingly serving as personal shoppers. These digital intermediaries will save us time by purchasing grocery items, transferring bank accounts, and subscribing to cable. The literature has only begun to hint at the paradigm shift needed to navigate the legal risks and rewards of this coming era of automated commerce. This Article begins to fill that gap by surveying legal battles related to contract exit, data access, and deception that will determine the extent to which automated assistants are able to help consumers to search and switch, potentially bringing tremendous societal benefits. Whereas …

Bots, Bias And Big Data: Artificial Intelligence, Algorithmic Bias And Disparate Impact Liability In Hiring Practices, Mckenzie Raub

Arkansas Law Review

No abstract provided.

The Modern Trolley Problem: Ethical And Economically-Sound Liability Schemes For Autonomous Vehicles, Amar Kumar Moolayil

Journal of Law, Technology, & the Internet

The paper synthesizes modern scholarship in the fields of Artificial Intelligence law, Ethics, Corporate Liability, and Economics to develop potential liability schemes that the automotive and insurance industries may impose when autonomous vehicles eventually come to dominate the roadways. By addressing the issues of whom the autonomous vehicle’s AI protects and who bears liability in the event of an accident—two issues that this author believes are critical to the successful adoption of autonomous vehicle technology—the transition from human drivers to AI drivers will be less contentious. Because of the prescient nature of the topic, as well as a discussion of …

Amoral Machines, Or: How Roboticists Can Learn To Stop Worrying And Love The Law, Bryan Casey

Northwestern University Law Review

The media and academic dialogue surrounding high-stakes decisionmaking by robotics applications has been dominated by a focus on morality. But the tendency to do so while overlooking the role that legal incentives play in shaping the behavior of profit-maximizing firms risks marginalizing the field of robotics and rendering many of the deepest challenges facing today’s engineers utterly intractable. This Essay attempts to both halt this trend and offer a course correction. Invoking Justice Oliver Wendell Holmes’s canonical analogy of the “bad man . . . who cares nothing for . . . ethical rules,” it demonstrates why philosophical abstractions like …

Manhattan_Project.Exe: A Nuclear Option For The Digital Age, David Laton

Catholic University Journal of Law and Technology

This article explores the possible implications and consequences arising from the use of an artificial intelligence construct as a weapon of mass destruction. The digital age has ushered in many technological advances, as well as certain dangers. Chief among these pitfalls is the lack of reliable security found in critical information technology systems. These security gaps can give cybercriminals unauthorized access to highly sensitive computer networks that control the very infrastructure of the United States. Cyberattacks are rising in both frequency and severity and the response by the U.S. has been ineffective. A cyber-weapon of mass destruction (CWMD) implementing an …

Nudging Robots: Innovative Solutions To Regulate Artificial Intelligence, Michael Guihot, Anne F. Matthew, Nicolas P. Suzor

Vanderbilt Journal of Entertainment & Technology Law

There is a pervading sense of unease that artificially intelligent machines will soon radically alter our lives in ways that are still unknown. Advances in artificial intelligence (AI) technology are developing at an extremely rapid rate as computational power continues to grow exponentially. Even if existential concerns about AI do not materialize, there are enough concrete examples of problems associated with current applications of AI to warrant concern about the level of control that exists over developments in this field. Some form of regulation is likely necessary to protect society from harm. However, advances in regulatory capacity have not kept …

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 …