Computer Law Commons^™

Robots As Pirates, Henry H. Perritt Jr.

Catholic University Law Review

Generative AI has created much excitement over its potential to create new works of authorship in the literary and graphical realms. Its underling machine-learning technology works by analyzing the relations among elements of preexisting material in enormous databases assembled from publicly available and licensed sources. Its algorithms “learn” to predict “what comes next” in different types of expression. A complete system thus can become glib in creating new factual summaries, essays, fictional stories and images.

A number of authors of the raw material used by Generative AI engines claim that the machine learning process infringes their copyrights. Careful evaluation of …

Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin

Seattle University Law Review

Artificial intelligence (AI) and other new technologies are increasingly influencing the operations, business models, and structures of companies. This Article focuses on three emerging phenomena that impact significant aspects of corporate governance and regulation: (1) perforation and blurring of firm boundaries through the ubiquitous use of externally provided AI services; (2) businesses engaging in strategic access and leveraging of critical resources held by third parties without owning them; and (3) the unusual hybrid role of online platforms between market facilitators and markets themselves. The Article explores how these phenomena challenge traditional views of firms as separate units, with technology leading …

Al In International Humanitarian Law: Distinction And Accountability, Frank Rosenblatt, Ira Rushing

Journal Articles

With the advent of recent advances in artificial intelligence (AI) technology, national militaries have become some of the earliest and most enthusiastic adopters. India, for instance, announced in 2022 the formation of an Artificial Intelligence Military Council along with substantial funding for related initiatives. 1 Many other nations, including the United States and China, have similarly pursued military applications of AI with gusto. Much ink has been spilt over ethical issues and concerns with AI. We concern ourselves here specifically with some specific implications of military AI in the field of international humanitarian law, also known as the law of …

How To Get The Property Out Of Privacy Law, Jane R. Bambauer

UF Law Faculty Publications

For the last ten years, American rhetoric and state lawmaking has attempted to provide consumers with greater and stickier property interest in their personal information. But the impracticalities of the sticky property model are becoming evident, and will be impossible to ignore as AI becomes more prevalent and useful. This Article critiques the property framework in privacy law, and explains how a risk-based approach can be modernized and implemented instead. An enduring system of privacy laws will manage risks rather than bestowing rights to control and delete information. To do this, data practices should be categorized into safe harbor practices …

Election Integrity And The First Amendment: A Statutory Analysis Of States' Regulations Of Election Deepfakes, Steven Carver

Mitchell Hamline Law Review

No abstract provided.

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.

Kafka In The Age Of Ai And The Futility Of Privacy As Control, Daniel Solove, Woodrow Hartzog

Faculty Scholarship

Despite writing more than a century ago, Franz Kafka captured the core problem of digital technologies—how individuals are rendered powerless and vulnerable. Over the past fifty years, and especially in the twenty-first century, privacy laws have been sprouting up around the world. These laws are often based heavily on an Individual Control Model that aims to empower individuals with rights to help them control the collection, use, and disclosure of their data.

In this Article, we argue that although Kafka starkly shows us the plight of the disempowered individual, his work also paradoxically suggests that empowering the individual isn’t the …

Risky Speech Systems: Tort Liability For Ai-Generated Illegal Speech, Margot E. Kaminski

Publications

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 …

Artificial Intelligence And Transformative Use After Warhol, Gary Myers

Washington and Lee Law Review Online

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of …

The Present And Future Of Ai Usage In The Banking And Financial Decision-Making Processes Within The Developing Indian Economy, Dr. Shouvik Kumar Guha, Bash Savage-Mansary, Dr. Navyajyoti Samanta

Indian Journal of Law and Technology

In course of this paper, the authors have soght to examine the extent to which technology based on artificial intelligence (AI) have made inroads into the banking and financial sectors of a developing economy like India. The paper begins with providing a contextual background to the adoption of such technology in the global financial arena. It then proceeds to identify and categorise the forms of AI currently being used in the Indian financial sector and also considers the different channels of operation where such technology is in vogue. The advantages of using such technology and the future goals for integrating …

Trademarks In An Algorithmic World, Christine Haight Farley

Washington Law Review

According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their …

Developing Ethics And Equity Principles, Terms And Engagement Tools, Ellen W. Clayton, Rachele Hendricks-Sturrup, Shilo Anders, Et Al.

Vanderbilt Law School Faculty Publications

Background:

Artificial intelligence (AI) and machine learning (ML) technology design and development continues to be rapid, despite major limitations in its current form as a practice and discipline to address all sociohumanitarian issues and complexities. From these limitations emerges an imperative to strengthen AI and ML literacy in underserved communities and build a more diverse AI and ML design and development workforce engaged in health research.

Objective:

AI and ML has the potential to account for and assess a variety of factors that contribute to health and disease and to improve prevention, diagnosis, and therapy. Here, we describe recent activities …

Aclu V. Clearview Ai, Inc.,, Isra Ahmed

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

Thaler V. Vidal, 43 F.4th 1207 (Fed. Cir. 2022), Matthew Messina

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

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. …

The Evidentiary Implications Of Interpreting Black-Box Algorithms, Varun Bhatnagar

Northwestern Journal of Technology and Intellectual Property

Biased black-box algorithms have drawn increasing levels of scrutiny from the public. This is especially true for those black-box algorithms with the potential to negatively affect protected or vulnerable populations.1 One type of these black-box algorithms, a neural network, is both opaque and capable of high accuracy. However, neural networks do not provide insights into the relative importance, underlying relationships, structures of the predictors or covariates with the modelled outcomes.2 There are methods to combat a neural network’s lack of transparency: globally or locally interpretable post-hoc explanatory models.3 However, the threat of such measures usually does not bar an actor …

Copyright Throughout A Creative Ai Pipeline, Sancho Mccann

Canadian Journal of Law and Technology

Consider the following fact pattern.

Alex paints some original works on canvas and posts photos of them online. Becca downloads those images and uses them to train an AI (training configures the AI’s model parameters to useful values). Becca posts the resulting trained parameter values on her website under a license that reserves to Becca the right to use the parameters commercially. Cory uses those parameter values in a program that is designed to produce artwork. Cory clicks create and the program produces a work. This work is new to Cory, but it looks a lot like one of Alex’s …

Judicial Deference To Agency Action Based On Ai, Cade Mallett

Catholic University Journal of Law and Technology

No abstract provided.

The Tiktok Algorithm Is Good, But Is It Too Good? Exploring The Responsibility Of Artificial Intelligence Systems Reinforcing Harmful Ideas On Users, Julianne Gabor

Catholic University Journal of Law and Technology

No abstract provided.

Authorbots, Derek E. Bambauer, Mihai Surdeanu

UF Law Faculty Publications

ChatGPT has exploded into the popular consciousness in recent months, and the hype and concerns about the program have only grown louder with the release of GPT-4, a more powerful version of the software. Its deployment, including with applications such as Microsoft Office, has raised questions about whether the developers or distributors of code that includes ChatGPT, or similar generative pre-trained transformers, could face liability for tort claims such as defamation or false light. One important potential barrier to these claims is the immunity con-ferred by 47 U.S.C. § 230, popularly known as “Section 230.” In this Essay, we make …

Negligent Ai Speech: Some Thoughts About Duty, Jane R. Bambauer

UF Law Faculty Publications

Careless speech has always existed on a very large scale. When people talk, they often give bad advice or wrong information, and occasionally this leads the listener to act in a way that causes physical harm. The scale was made more visible by the public Internet as the musings and conversations of billions of participants became accessible and searchable to all. This dynamic produced a set of tort and free speech principles that we have debated and adjusted to over the last three decades.

AI speech systems bring a new dynamic. Unlike the disaggregated production of misinformation in the Internet …

Jewish Ethics, Samuel J. Levine

Scholarly Works

Essays on Jewish Ethics in:

Chapter 2 Introduction to Ethical Approaches in Data Science

Chapter 4 Machine Models in Court

Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon

Faculty Scholarship

The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …

Educating Robot-Proof Attorneys, Tammy Oltz

Faculty Scholarship

Technology, particularly that powered by Artificial Intelligence (AI), is disrupting the legal profession. In the coming years, lawyers who do not understand technology will face both ethical and professional risks. This year, the duty of technological competence marks its tenth anniversary. While lawyers are still learning what the duty means and what it will mean in the future, one thing is certain: those who ignore it could find themselves at risk of being on the wrong side of an ethics violation.

However, even without that regulatory obligation, lawyers who continue to ignore the current technological revolution put themselves at risk …

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 …

Modeling Through, Ryan Calo

Articles

Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

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 …

Can Computational Antitrust Succeed, Daryl Lim

Faculty Scholarly Works

Computational antitrust comes to us at a time when courts and agencies are underfunded and overwhelmed, all while having to apply indeterminate rules to massive amounts of information in fast-moving markets. In the same way that Amazon disrupted e-commerce through its inventory and sales algorithms and TikTok’s progressive recommendation system keeps users hooked, computational antitrust holds the promise to revolutionize antitrust law. Implemented well, computational antitrust can help courts curate and refine precedential antitrust cases, identify anticompetitive effects, and model innovation effects and counterfactuals in killer acquisition cases. The beauty of AI is that it can reach outcomes humans alone …

Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys Craig, Michael Geist, Joao Pedro Quintais

Reports & Public Policy Documents

We are grateful for the opportunity to participate in the Canadian Government’s consultation on a modern copyright framework for AI and the Internet of Things. Below, we present some of our research findings relating to the importance of flexibility in copyright law to permit text and data mining (“TDM”). As the consultation paper recognizes, TDM is a critical element of artificial intelligence. Our research supports the adoption of a specific exception for uses of works in TDM to supplement Canada’s existing general fair dealing exception.

Empirical research shows that more publication of citable research takes place in countries with “open” …