Internet Law Commons^™

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 …

Ai-Ip? Copyright In An Age Of Internet Propaganda With Artificial Intelligence, Sonya Saepoff

Cybaris®

No abstract provided.

Artificial Intelligence Is Like A Perpetual Stew, Nathan Reitinger

American University Law Review

Artificial intelligence is inescapable. It is in our phones, fridges, and most of the businesses we engage with use it to “improve” their services. From deciding on what YouTube video to watch next to driving vehicles or firing weapons, artificial intelligence is a linchpin in our society. But what is artificial intelligence? And, more importantly, why does that matter? It matters because we are currently unprepared to deal with the paradigm-shifting legal issues brought about by artificial intelligence. And without this understanding, we are nearly certainly going to make mistakes. The bright side is that artificial intelligence is not complicated. …

Ghost-Hunting In Ai And The Law, Meghan J. Ryan

Faculty Journal Articles and Book Chapters

Generative AI is booming. This technology offers amazing opportunities for growth in various business sectors and creates the opportunity for swift progress on medical innovations, climate change, world hunger, and innumerable other areas. AI also poses a number of challenges, though, such as replacing human workers and exacerbating pernicious biases. Another major concern about generative AI is singularity-the idea that this technology could surpass human intelligence and subjugate us or render us extinct. Although some commentators discount this possibility, the fact that AI experts such as Geoffrey Hinton, Sam Altman, and Elon Musk share the singularity concern should at least …

Beyond Chatgpt: Transforming Government With Augmented Llms, Orly Mazur, Adam Thimmesch

Faculty Journal Articles and Book Chapters

The release of ChatGPT demonstrated the remarkable capabilities and the existing limitations of large language models (LLMs) and the natural language chatbots that they power. One area that is ripe for innovation using this new technology, but that has often been bypassed in mainstream discussions, is the public sector.

This Article redirects attention towards this overlooked area, acknowledging the limitations of LLMs, while specifically exploring their potential to transform government operations. The Article discusses the various technological advancements that allow for the development of tools far more refined than the general-use chatbots commonly available to the public. The Article then …

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 …

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 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 …

The Need For An Australian Regulatory Code For The Use Of Artificial Intelligence (Ai) In Military Application, Sascha-Dominik Dov Bachmann, Richard V. Grant

American University National Security Law Brief

Artificial Intelligence (AI) is enabling rapid technological innovation and is ever more pervasive, in a global technological eco-system lacking suitable governance and absence of regulation over AI-enabled technologies. Australia is committed to being a global leader in trusted secure and responsible AI and has escalated the development of its own sovereign AI capabilities. Military and Defence organisations have similarly embraced AI, harnessing advantages for applications supporting battlefield autonomy, intelligence analysis, capability planning, operations, training, and autonomous weapons systems. While no regulation exists covering AI-enabled military systems and autonomous weapons, these platforms must comply with International Humanitarian Law, the Law of …

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 …

Naïve Realism, Cognitive Bias, And The Benefits And Risks Of Ai, Harry Surden

Publications

In this short piece I comment on Orly Lobel's book on artificial intelligence (AI) and society "The Equality Machine." Here, I reflect on the complex topic of aI and its impact on society, and the importance of acknowledging both its positive and negative aspects. More broadly, I discuss the various cognitive biases, such as naïve realism, epistemic bubbles, negativity bias, extremity bias, and the availability heuristic, that influence individuals' perceptions of AI, often leading to polarized viewpoints. Technology can both exacerbate and ameliorate these biases, and I commend Lobel's balanced approach to AI analysis as an example to emulate.

Although …

Data Privacy, Human Rights, And Algorithmic Opacity, Sylvia Lu

Scholarly Articles in Law Reviews & Journals

Decades ago, it was difficult to imagine a reality in which artificial intelligence (AI) could penetrate every corner of our lives to monitor our innermost selves for commercial interests. Within just a few decades, the private sector has seen a wild proliferation of AI systems, many of which are more powerful and penetrating than anticipated. In many cases, AI systems have become “the power behind the throne,” tracking user activities and making fateful decisions through predictive analysis of personal information. Despite the growing power of AI, proprietary algorithmic systems can be technically complex, legally claimed as trade secrets, and managerially …

Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall

Catholic University Journal of Law and Technology

No abstract provided.

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 …

Of Monopolies And Monocultures: The Intersection Of Patents And National Security, Charles Duan

Scholarly Articles in Law Reviews & Journals

It was certainly an odd thing for the Department of Justice attorney arguing for the United States to appear before the Ninth Circuit to tell the appellate judges that a federal agency was wrong. This was what happened in a Federal Trade Commission enforcement action against Qualcomm Inc., a semiconductor technology company. As a substantial holder of patents on mobile communications technologies and also a leading manufacturer of chips used in that same industry, the FTC charged Qualcomm with anticompetitive conduct; the district court agreed and enjoined Qualcomm from certain patent licensing practices. It was that award of injunctive relief …

Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subjects of the machine learning systems and for those who deploy them, creating risks for civil liberties and human rights. In this paper, we draw on insights from science and technology studies, anthropology, and human rights literature, to inform how defenses against adversarial attacks can be used to suppress dissent and limit attempts to investigate machine learning systems. To make this concrete, we use real-world examples of how attacks such as perturbation, model inversion, or membership inference …

Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …

Trimming The Fat: The Gdpr As A Model For Cleaning Up Our Data Usage, Kassandra Polanco

Touro Law Review

No abstract provided.

Can We Trust Artificial Intelligence In Criminal Law Enforcement?, Sara M. Smyth

Canadian Journal of Law and Technology

With the rapid advances made by AI in the last few years, yet with so much of it happening behind the scenes, it’s no wonder that most people are both baffled and awestruck by the capacity for these systems to render humans obsolete. Until recently, much of what the general public knew about AI, robotics, and their superhuman capabilities came from Hollywood blockbuster films like Minority Report. While it’s true that these films, in fact, provided a surprisingly realistic portrait of the capabilities that AI can now deliver, there is still a real lack of understanding on the part of …

Artificial Intelligence Is Here, Get Ready!, Jessica G. Martz

Catholic University Journal of Law and Technology

No one is certain whether Artificial Intelligence (“AI”) will make the future a better place or make it look like an apocalyptic Hollywood blockbuster. An opinion that is emerging among experts and nation-state leaders is that the nation-states that lead in AI advancements and implementation will likely have a greater influence on and power over the world economic and national security stages. The goal of this book review is to encourage the reader to enter the conversation about the role AI will play in global society and American life because AI will influence the job market in the near future. …

Lessons From Literal Crashes For Code, Margot Kaminski

Publications

No abstract provided.

"Cyborg Justice" And The Risk Of Technological-Legal Lock-In, Rebecca Crootof

Law Faculty Publications

Although Artificial Intelligence (AI) is already of use to litigants and legal practitioners, we must be cautious and deliberate in incorporating AI into the common law judicial process. Human beings and machine systems process information and reach conclusions in fundamentally different ways, with AI being particularly ill-suited for the rule application and value balancing required of human judges. Nor will “cyborg justice”—hybrid human/AI judicial systems that attempt to marry the best of human and machine decisionmaking and minimize the drawbacks of both—be a panacea. While such systems would ideally maximize the strengths of human and machine intelligence, they might also …

Robotic Speakers And Human Listeners, Helen Norton

Seattle University Law Review

This article discusses protected First Amendment speech and how this protection should be applied to robotic speech. Robotic speech is that created by automated means, currently “bots” but the producers of automated speech are evolving. The article further differentiates between rights of the producers of this speech and listeners or consumers of the speech, and the impact of First Amendment protections on each group.

Introduction, Annette Clark

Seattle University Law Review

Introductory remarks given by Dean Annette Clark at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.”

Emerging Technologies Challenging Current Legal Paradigms, W. Keith Robinson, Joshua T. Smith

Faculty Journal Articles and Book Chapters

U.S. patent law has made assumptions about where new inventions will be created, who will create them, and how they will be infringed. Throughout history, emerging technologies have challenged these paradigms. This decade’s emerging technologies will allow humans to create in virtual worlds, connect billions of every day devices via the Internet, and use artificial intelligence to invent across technology fields. If countries like the U.S. wish to encourage inventors to seek patent protection in these emerging areas, then a paradigm shift in the law must occur. Specifically, the law must clarify patent eligibility, recognize the increasing role of artificial …