Law Commons^™

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 …

Frontiers In Precision Medicine Iv: Artificial Intelligence, Assembling Large Cohorts, And The Population Data Revolution, Adam Bress, Rich Albrechtsen, Monika Baker, Jorge L. Contreras, Zachary Fica, Austin Gamblin, Chelsea Ratcliff, Bianca E. Rich, Matt A. Szaniawski, Alyssa Thorman, Chad Vansant-Webb, Willard Dere

Utah Law Faculty Scholarship

Large cohort studies and more recently electronic medical records (EMR) are being used to collect massive amounts of genetic information. Implementation of artificial intelligence has become increasingly necessary to interpret this data with the goal of augmenting patient care. While it is impossible to predict what the future holds, policy makers are challenged to create guiding principles and responsibly roll out these new technologies. On March 22, 2019, the University of Utah hosted its fourth annual Precision Medicine Symposium focusing on artificial intelligence, assembling large cohorts, and the population data revolution. The symposium brought together experts in medicine, science, law …

How U.S. Government Policy Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence, Bert Chapman

Libraries Faculty and Staff Presentations

Artificial intelligence is affecting many areas of our lives and governmental policy. National security is one arena in which artificial intelligence is playing an increasingly important and controversial role. U.S. Government and military agencies are producing a steadily expanding corpus of publicly available literature on this topic. This literature documents how these agencies have this topic's national security implications historically and currently while also addressing potentially emerging national security issues where artificial intelligence will intersect with national security. This presentation demonstrates examples of the growing variety of publicly available national security artificial intelligence literature while also addressing the implications of …

Delinking The "Human" From Human Rights: Artificial Intelligence, Transhumanism And The Future Of Human Rights, A. Kayum Ahmed

Biennial Conference: The Social Practice of Human Rights

Human rights discourses are deeply embedded in an epistemic anthropocentricism that centers the human in human rights. However, conceptions of what constitutes the human are being eroded through the development of artificial intelligence, bio-hacking and transhumanism, all of which, support the emergence of new kinds of humans.These emergent humans include the enhanced human who possesses abilities that compel us to reconsider the parameters of humanness, as well as computer systems that demonstrate characteristics thought of as uniquely human. The blurring of the divide between human and machine therefore compels us to reconsider our understanding of the human in human rights, …

Deep Fakes: Preserving Truth & Human Rights In An Era Of Truth Decay, Virginia Kozemczak

Biennial Conference: The Social Practice of Human Rights

Lawmakers, technology companies, and the general public are increasingly concerned about the prevalence of “deep fake” videos. Often shared on social media platforms, these digitally altered videos are made possible with recent advances in machine learning and artificial intelligence.

Although altered and faked media content is not necessarily a new issue, images and videos can now be altered quickly, cheaply, and more convincingly than ever before. An underlying concern is that platforms will be overwhelmed with believable deep fakes, leaving Internet users struggling to discern fact from fiction. Yet a future in which no one call tell what is real …

Open Banking: Regulatory Challenges For A New Form Of Financial Intermediation In A Data-Driven World, Nydia Remolina

Centre for AI & Data Governance

Data has taken immense importance in the last years. Consider the amount of data that is being collected worldwide every day, industries are reshaping their activities into a data-driven business. The digital transformation of all industries, portent of the fourth industrial revolution, is creating a new kind of economy based on the datafication of almost any aspect of human social, political and economic activity as a result of the information generated by the numerous daily routines of digitally connected individuals and technology. The financial services industry is part of this trend. Embracing the digital revolution and creating the right foundations …

It's Not The Robot's Fault! Russian And American Perspectives On Responsibility For Robot Harms, Bryant Walker Smith, Andrey Neznamov

Faculty Publications

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.

Algorithmic Advertising Discrimination, Joseph Blass

Northwestern University Law Review

The ability of social media companies to precisely target advertisements to individual users based on those users’ characteristics is changing how job opportunities are advertised. Companies like Facebook use machine learning to place their ads, and machine learning systems present risks of discrimination, which current legal doctrines are not designed to deal with. This Note will explain why it is difficult to ensure such systems do not learn discriminatory functions and why it is hard to discern what they have learned as long as they appear to be performing well on their assigned task. This Note then shows how litigation …

Ok, Google, Will Artificial Intelligence Replace Human Lawyering?, Amy Vorenberg, Julie A. Oseid, Melissa Love Koenig

Law Faculty Scholarship

Will Artificial Intelligence (AI) replace human lawyering? The answer is no. Despite worries that AI is getting so sophisticated that it could take over the profession, there is little cause for concern. Indeed, the surge of AI in the legal field has crystalized the real essence of effective lawyering. The lawyer’s craft goes beyond what AI can do because we listen with empathy to clients’ stories, strategize to find that story that might not be obvious, thoughtfully use our imagination and judgment to decide which story will appeal to an audience, and creatively tell those winning stories.

This article reviews …

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 …

How To Address The Ai Governance Discussion? What Can We Learn From Singapore’S Ai Strategy?, Nydia Remolina Leon, Josephine Seah

Centre for AI & Data Governance

The following research piece explores how Singapore is addressing the AI Governance discussion. First, the document broadly provides some background to the Singapore’s AI strategy; second, it explains exactly what the Model AI Governance Framework is and how Singapore is addressing the AI Governance discussion; third, it compares Singapore’s approach with other jurisdictions’ and how important it is to contribute to the international debate on AI governance; and fourth, the document mentions some challenges ahead and observations on what is missing from current conversations about AI.

Economic Rationality And Ethical Values In Design-Defect Analysis: The Trolley Problem And Autonomous Vehicles, W. Bradley Wendel

W. Bradley Wendel

The trolley problem is a well-known thought experiment in moral philosophy, used to explore issues such as rights, deontological reasons, and intention and the doctrine of double effect. Recently it has featured prominently in popular discussions of decision making by autonomous vehicle systems. For example, a Mercedes-Benz executive stated that, if faced with the choice between running over a child that had unexpectedly darted into the road and steering suddenly, causing a rollover accident that would kill the driver, an automated Mercedes would opt to kill the child. This paper considers not the ethical issues raised by such dilemmas, but …

Rise Of The Robot Lawyers?, Milan Markovic

Milan Markovic

The advent of artificial intelligence has provoked considerable speculation about the future of the American workforce, including highly educated professionals such as lawyers and doctors. Although most commentators are alarmed by the prospect of intelligent machines displacing millions of workers, this is not so with respect to the legal sector. Media accounts and some legal scholars envision a future where intelligent machines perform the bulk of legal work, and legal services are less expensive and more accessible. This future is purportedly at hand as lawyers struggle to compete with technologically savvy alternative legal service providers.

This Article challenges the notion …

Ai & Ip Innovation & Creativity In An Age Of Accelerated Change, Daryl Lim

Daryl Lim

From a glimmer in the eye of a Victorian woman ahead of her time, AI has become a cornerstone of innovation that “will be the defining technology of our time.” Around 2016, the convergence of computing power, funding, data, and open-source platforms tipped us into an AI-driven 4IR. AI can make a difference in accelerating disruptive innovation by bringing a data-driven approach to invention and creation. To do so, the law must embrace change and innovation as an imperative in a journey towards an ever-shifting horizon. In the creative arts, the work for hire doctrine provides a pragmatic legal vehicle …

Ai & Ip Innovation & Creativity In An Age Of Accelerated Change, Daryl Lim

Akron Law Review

From a glimmer in the eye of a Victorian woman ahead of her time, AI has become a cornerstone of innovation that “will be the defining technology of our time.” Around 2016, the convergence of computing power, funding, data, and open-source platforms tipped us into an AI-driven 4IR. AI can make a difference in accelerating disruptive innovation by bringing a data-driven approach to invention and creation. To do so, the law must embrace change and innovation as an imperative in a journey towards an ever-shifting horizon. In the creative arts, the work for hire doctrine provides a pragmatic legal vehicle …

Could A Robot Be District Attorney?, Stephen E. Henderson

Stephen E Henderson

No abstract provided.

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. …

An Agent-Based Model Of Financial Benchmark Manipulation, Gabriel Virgil Rauterberg, Megan Shearer, Michael Wellman

Articles

Financial benchmarks estimate market values or reference rates used in a wide variety of contexts, but are often calculated from data generated by parties who have incentives to manipulate these benchmarks. Since the the London Interbank Offered Rate (LIBOR) scandal in 2011, market participants, scholars, and regulators have scrutinized financial benchmarks and the ability of traders to manipulate them. We study the impact on market quality and microstructure of manipulating transaction-based benchmarks in a simulated market environment. Our market consists of a single benchmark manipulator with external holdings dependent on the benchmark, and numerous background traders unaffected by the benchmark. …

Algorithms And Human Freedom, Richard Warner, Robert Sloan

All Faculty Scholarship

Predictive analytics such as data mining, machine learning, and artificial intelligence drive algorithmic decision making. Its "all-encompassing scope already reaches the very heart of a functioning society". Unfortunately, the legal system and its various tools developed around human decisionmakers cannot adequately administer accountability mechanisms for computer decision making. Antiquated approaches require modernization to bridge the gap between governing human decision making and new technologies. We divide the bridge-building task into three questions. First, what features of the use of predictive analytics significantly contribute to incorrect, unjustified, or unfair outcomes? Second, how should one regulate those features to make outcomes more …

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 …

Topic Modeling The President: Conventional And Computational Methods, J.B. Ruhl, John Nay, Jonathan Gilligan

J.B. Ruhl

Legal and policy scholars modeling direct actions into substantive topic classifications thus far have not employed computational methods. To compare the results of their conventional modeling methods with the computational method, we generated computational topic models of all direct actions over time periods other scholars have studied using conventional methods, and did the same for a case study of environmental-policy direct actions. Our computational model of all direct actions closely matched one of the two comprehensive empirical models developed using conventional methods. By contrast, our environmental-case-study model differed markedly from the only empirical topic model of environmental-policy direct actions using …

"I Am The Master": Some Popular Culture Images Of Ai In Humanity's Courtroom, Christine Corcos

Christine A. Corcos

No abstract provided.

Digital Market Perfection, Rory Van Loo

Faculty Scholarship

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 first 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. …

Rise Of The Robot Lawyers?, Milan Markovic

Faculty Scholarship

The advent of artificial intelligence has provoked considerable speculation about the future of the American workforce, including highly educated professionals such as lawyers and doctors. Although most commentators are alarmed by the prospect of intelligent machines displacing millions of workers, this is not so with respect to the legal sector. Media accounts and some legal scholars envision a future where intelligent machines perform the bulk of legal work, and legal services are less expensive and more accessible. This future is purportedly at hand as lawyers struggle to compete with technologically savvy alternative legal service providers.

This Article challenges the notion …

Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, including how to ensure high-quality performance by medical AI, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its …

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, …

Data-Informed Duties In Ai Development, Frank A. Pasquale

Faculty Scholarship

Law should help direct—and not merely constrain—the development of artificial intelligence (AI). One path to influence is the development of standards of care both supplemented and informed by rigorous regulatory guidance. Such standards are particularly important given the potential for inaccurate and inappropriate data to contaminate machine learning. Firms relying on faulty data can be required to compensate those harmed by that data use—and should be subject to punitive damages when such use is repeated or willful. Regulatory standards for data collection, analysis, use, and stewardship can inform and complement generalist judges. Such regulation will not only provide guidance to …

Looking To The Future: The Scope, Value And Operationalization Of International Human Rights Law, Lorna Mcgregor

Vanderbilt Journal of Transnational Law

The international human rights system of which international human rights law (IHRL) is a part has been critiqued for being ineffective, too legal, insufficiently self-critical, and elitist, with some claiming that it self-generates some of the challenges it faces. This Article challenges this presentation of IHRL and in doing so, sets out three priorities for its future development. These are first, that it should continue to engage in critical analysis of how IHRL can effectively respond to the complex and multifactorial challenges it faces. Second, rather than refrain from developing due to critiques of over expansion, IHRL should prioritize the …

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 …