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 …

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 …

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.

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 …

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. …

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 …

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, …

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 …

Artificial Intelligence And Law: An Overview, Harry Surden

Publications

Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? This article addresses those questions by providing a high-level overview of AI and its use within law. The discussion aims to be nuanced but also understandable to those without a technical background. To that end, I first discuss AI generally. I then turn to AI and how it is being used by lawyers in the practice of law, people and companies who are governed by the law, and government officials who administer the …

Power, Process, And Automated Decision-Making, Ari Ezra Waldman

Articles & Chapters

Many decisions that used to be made by humans are now made by machines. And yet, automated decision-making systems based on “big data” – powered algorithms and machine learning are just as prone to mistakes, biases, and arbitrariness as their human counterparts. The result is a technologically driven decision-making process that seems to defy interrogation, analysis, and accountability and, therefore, undermines due process. This should make algorithmic decision-making an illegitimate source of authority in a liberal democracy. This Essay argues that algorithmic decision-making is a product of the neoliberal project to undermine social values like equality, nondiscrimination, and human flourishing …

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 …

Law's Halo And The Moral Machine, Bert I. Huang

Faculty Scholarship

How will we assess the morality of decisions made by artificial intelli­gence – and will our judgments be swayed by what the law says? Focusing on a moral dilemma in which a driverless car chooses to sacrifice its passenger to save more people, this study offers evidence that our moral intuitions can be influenced by the presence of the law.

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

When Ais Outperform Doctors: Confronting The Challenges Of A Tort-Induced Over-Reliance On Machine Learning, A. Michael Froomkin, Ian Kerr, Joelle Pineau

Articles

Someday, perhaps soon, diagnostics generated by machine learning (ML) will have demonstrably better success rates than those generated by human doctors. What will the dominance of ML diagnostics mean for medical malpractice law, for the future of medical service provision, for the demand for certain kinds of doctors, and in the long run for the quality of medical diagnostics itself?

This Article argues that once ML diagnosticians, such as those based on neural networks, are shown to be superior, existing medical malpractice law will require superior ML-generated medical diagnostics as the standard of care in clinical settings. Further, unless implemented …

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 …

Data-Centric Technologies: Patent And Copyright Doctrinal Disruptions, Tabrez Y. Ebrahim

Faculty Scholarship

Data-centric technologies create information content that directly controls, modifies, or responds to the physical world. This information content resides in the digital world yet has profound economic and societal impact in the physical world. 3D printing and artificial intelligence are examples of data-centric technologies. 3D printing utilizes digital data for eventual printing of physical goods. Artificial intelligence learns from data sets to make predictions or automated decisions for use in physical applications and systems. 3D printing and artificial intelligence technologies are based on digital foundations, blur the digital and physical divide, and dramatically improve physical goods, objects, products, or systems. …

Automation And Predictive Analytics In Patent Prosecution: Uspto Implications And Policy, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor-examiner interaction to machine-human interactions. In response to automated patent drafting, automated office-action responses, "cloems" (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor-examiner relationship as a "patenting market," economic principles suggest stronger efficiencies if both inventors and the USPTO have better information …

Should Robots Prosecute And Defend?, Stephen E. Henderson

Stephen E Henderson