Science and Technology Law Commons^™

The Privacy Act Of 1974: The American Bill Of Rights On Data And Its Unfinished Business, Dongsheng Zang

Articles

In the midst of the artificial intelligence (“AI”) revolution and the debates around it in 2023, this Article proposes to revisit the history of the Privacy Act of 1974, a federal statute that attempted to revolutionize the notion of privacy in response to automated data processing in the computer age. By recognizing that an individual should have the right to control data about herself, the 1974 Act went beyond the Warren-Brandeis framework of privacy based on tort law—the 1974 Act was essentially an American Bill of Rights on data.

The Article first tracks the conceptual development of this new idea …

Disability Discrimination By Clinical Algorithm, Elizabeth Pendo, Jennifer D. Oliva

Articles

In response to America’s escalating drug poisoning crisis, the federal government has funded, incentivized, and mandated that states adopt and implement prescription drug monitoring programs (“PDMPs”) to electronically surveil controlled substances and other “drugs of concern.” State PDMPs utilize proprietary, predictive software platforms that deploy algorithms to determine whether a patient is at risk for drug misuse, drug diversion, doctor shopping, or substance use disorder. PDMPs have never been validated by a federal agency or peer review, yet states have mandated their use throughout the health care delivery system.

Research demonstrates that clinical overreliance on the risk scores generated by …

Ai Fanfare & Fanfiction: Do Fanfiction Writers Have Protections Against Artificial Intelligence?, Sinbay Tan

Brooklyn Law Review

As artificial intelligence (AI) becomes a familiar topic in everyday conversation and now increasingly in courts, there is a conflict between its use in creative and artistic spaces. While authors and artists enjoy copyright protections that might shield their works from being misused, there are millions of fanfiction writers who have no such protections. After all, the essence of fanfiction is rooted in writing about the characters, settings, and stories made by someone else. After decades of writing online, these fanfiction authors face the threat of having their works scraped up and fed into AI algorithms to be used in …

Attributing Ai Authorship: Towards A System Of Icons For Legal And Ethical Disclosure, Joseph J. Avery, Patricia Sánchez Abril, Alissa Del Riego

Northwestern Journal of Technology and Intellectual Property

Over the past year, the pervasive role of large language models (LLMs) and artificial intelligence (AI) in text generation has precipitated concerns about ethical usage, authorship, and transparent attribution. This has been true in legal practice, academia, and the corporate world, as well as in countless other arenas. In this Article, we identify the gap that has opened between those demanding proper disclosure (we should know when and to what extent AI is an author) and those struggling to respond to these demands. Part of the problem is that there is no system in place, no lingua franca, no set …

Between Copyright And Computer Science: The Law And Ethics Of Generative Ai, Devin R. Desai, Mark Riedl

Northwestern Journal of Technology and Intellectual Property

Copyright and computer science continue to intersect and clash, but they can coexist. The advent of new technologies such as digitization of visual and aural creations, sharing technologies, search engines, social media offerings, and more, challenge copyright-based industries and reopen questions about the reach of copyright law. Breakthroughs in artificial intelligence research, especially Large Language Models that leverage copyrighted material as part of training, are the latest examples of the ongoing tension between copyright and computer science. The exuberance, rush-to-market, and edge problem cases created by a few misguided companies now raises challenges to core legal doctrines and may shift …

Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang

Northwestern Journal of Technology and Intellectual Property

The advent of ChatGPT has sparked over a year of regulatory frenzy. Policymakers across jurisdictions have embarked on an AI regulatory “arms race,” and worldwide researchers have begun devising a potpourri of regulatory schemes to handle the content risks posed by generative AI products as represented by ChatGPT. However, few existing studies have rigorously questioned the assumption that, if left unregulated, AI chatbot’s output would inflict tangible, severe real harm on human affairs. Most researchers have overlooked the critical possibility that the information market itself can effectively mitigate these risks and, as a result, they tend to use regulatory tools …

Fair Use, Licensing, And Authors' Rights In The Age Of Generative Ai, Celeste Shen

Northwestern Journal of Technology and Intellectual Property

The rise of generative AI technologies has introduced unprecedented challenges to copyright law, particularly around the fair use of copyrighted works in AI training processes. Generative AI tools, such as ChatGPT, are trained on vast datasets that often include copyrighted material, typically without the consent of authors or compensation for use. This widespread, unauthorized use has led to legal disputes, with plaintiffs asserting that using protected texts in training AI models constitutes copyright infringement. This Note examines the application of the fair use doctrine to generative AI, analyzing each of the four statutory factors to demonstrate that generative AI’s commercial …

Something Is Rotten In The State Of Healthcare: Accountability, Affordability, And The Court Of Public Opinion, Isabelle Breier

Duke Law & Technology Review

Many countries worldwide recognize a right to health and provide legal recourse for securing that right. By contrast, for many Americans, there is no legal right or remedy that enables them to access healthcare if they cannot afford it. While there are some statutes and measures in place, such as the Emergency Medical Treatment and Active Labor Act (EMTALA) and Medicaid, coverage remains piecemeal and access to healthcare is not guaranteed. Conditioning people’s access to healthcare upon their ability to pay violates the foundational bioethical principle of justice. In the United States, individuals and advocates use social media to fill …

Gatekeeper Competition Policy, Herbert Hovenkamp

Michigan Technology Law Review

Antitrust policy in the United States has always had special rules for dominant firms. As Justice Scalia once observed:

Where a defendant maintains substantial market power, his activities are examined through a special lens: Behavior that might otherwise not be of concern to the antitrust laws—or that might even be viewed as procompetitive—can take on exclusionary connotations when practiced by a monopolist.

Frand Arbitration Will Destroy Frand, Barbara Lauriat

Michigan Technology Law Review

Standard essential patent-licensing disputes have been raising the costs of business in the telecommunications industry for over a decade. As technology and interconnectivity extend beyond mobile phones into the Internet of Things (“IoT”), the number of these disputes will only increase. While many academics, policymakers, and stakeholders support arbitration to resolve these disputes, this article warns of the potential long-term consequences of doing so on a large scale.

Standard Setting Organizations usually require the owners of patented technology included in industry standards to commit to licensing on Fair, Reasonable, and Non-discriminatory (“FRAND”) terms to avoid potential abuse of their market …

The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell

Michigan Technology Law Review

In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built in isolation from policymaking and civil societal contexts and lack serious engagement with philosophical, political, legal, and economic theories of equality and distributive justice. Many current measures define “fairness” in simple terms to mean narrowing gaps in performance or outcomes between demographic groups while preserving as much of the original system’s accuracy as possible. This oversimplified …

The Implications Of Chatgpt For Legal Services And Society, Andrew Perlman

Michigan Technology Law Review

On November 30, 2022, OpenAI released a chatbot called ChatGPT.1 To demonstrate the chatbot’s sophistication and its potential implications, both for legal services and society more generally, most of this paper was generated in about an hour through prompts within ChatGPT. Only this abstract, the preface, the outline headers, the footnotes, the epilogue, and the prompts were written by a person. ChatGPT generated the rest of the text with no human editing. To be clear, the responses generated by ChatGPT were imperfect and at times problematic, and the use of an AI tool for law-related services raises a host of …

Generative Artificial Intelligence And Copyright In The Film And Media Industry, Victor A. Oberting Iv

Washington and Lee Law Review Online

The development of generative artificial intelligence (“GAI” or “generative AI”) introduces compelling benefits and capabilities to filmmakers and artists, but also brings complications regarding copyright of creative works. The American film and media industry in particular illustrates the scope of GAI’s legal, economic, and ethical implications. Though GAI may exhibit characteristics of independent agency or intent, GAI models are best understood as a new set of tools that serve a diverse range of applications in the creative process. The potential benefits of this set of tools can only be realized, then, if the filmmakers who use them are not unreasonably …

Gray Advice, Keith Porcaro

Duke Law & Technology Review

Debates over economic protectionism or the technology flavor-of-the-month obscure a simple, urgent truth: people are going online to find help that they cannot get from legal and health professionals. They are being let down, by products with festering trust and quality issues, by regulators slow to apply consumer protection standards to harmful offerings, and by professionals loath to acknowledge changes to how help is delivered. The status quo cannot continue. Waves of capital and code are empowering ever more organizations to build digital products that blur the line between self-help and professional advice. For good or ill, “gray advice” is …

Tort Liability, Privacy, And Regulatory Considerations For Level 3 Autonomous Vehicles, Ryan H. Jones

Michigan Technology Law Review

Recent developments in emerging technology, such as artificial intelligence, robotics, and autonomous vehicles, have generated inquiries about the incorporation of these technologies into the law, as well as the philosophical and ethical questions that accompany their use. This paper considers existing legal doctrine and regulatory frameworks as applied to the niche area of Level 3 autonomous vehicles. Specifically, this paper considers tort liability in the form of negligence and products liability, privacy risks, and regulatory considerations in relation to Level 3 vehicles. Finally, societal risks and potential solutions are considered to provide insight into potential areas of additional work.

From Biased Data Inputs To Your Discriminatory Diagnosis Outputs: A Review Of Legal Liability For Artificial Intelligence In Healthcare, Amber Bolden

Michigan Technology Law Review

While health disparities in America occur due to non-medical circumstances, certain protected classes experience healthcare disparities due to the biases of medical professionals. Biased diagnoses, both intentional or unintentional, have existed throughout the history of the medical profession. That those biases are becoming data for training algorithms raises concerns as the medical field increasingly incorporates and standardizes artificial and augmented intelligence in patient diagnosis and treatment. Currently unregulated but with lifedetermining potential, artificial intelligence (AI) when used in patient treatment leads to important questions: should the doctor, the provider, or the AI developers be liable, and for what? Section II …

Repair As Research: How Copyright Impedes Learning About Devices, Anthony D. Rosborough, Aaron Perzanowski

Michigan Technology Law Review

Widespread computerization and ubiquitous smart devices have enabled software-based copyright governance to reach into new domains. Beyond their instrumental utility, those devices contain vast amounts of information in the form of software and technical know-how. Through copyright and anti-circumvention rules, however, this information can be cordoned off and confined to exclusive distribution channels, significantly constraining research. While copyright law traditionally conceives of research as the use of expressive works within institutional settings, we propose a broader conceptualization that embraces device research, including informal inquiries and DIY activities. Whether for the purposes of modification, repair, user innovation, or testing, device research …

Life, Liberty, And The Pursuit Of Artificial Intelligence, Christopher C. Spinosa Jr.

Touro Law Review

With governmental use of artificial intelligence (“AI”) becoming more prevalent, Americans are at risk of being subjected to the factual and legal findings of ill-equipped AI systems. The possibility of an AI takeover of the judicial branch is an undesirable reality to some individuals who are challenging laws and government programs which utilize AI systems to enforce traffic code violations. This Article considers the procedural fairness, privacy rights, and effectiveness of the various uses of AI systems in traffic code enforcement. By undertaking a thorough review of New York case law, this Article also analyzes the treatment of AI systems …

Formalizing Fairness: Statistical Measures Of Parity For Recidivism Prediction Instruments, Joshua Song

Michigan Technology Law Review

Recidivism prediction instruments (RPI) are increasingly employed as an algorithmic arm of the criminal justice system to assist in bond, sentencing, and probation determinations. Due process and ethics guidelines require that RPIs, such as the Correctional Offender Management Profiling for Alternative Sanctions (COMPAS), apply a fair assessment in making recidivism predictions. To establish fair RPIs, we must first define standards of fairness and methods to measure bias in RPI outputs. However, defining algorithmic fairness can be cryptic and context-dependent. Scholars have proposed different criteria for what defines a fair RPI. Unfortunately, these criteria are conflicting and mutually exclusive; it is …

Ideal Enforcement: How Do We Achieve Optimal Enforcement Of Traffic Law As Ubiquitous Enforcement Becomes Technologically Conceivable?, Bryant Walker Smith, Jeffrey Michael, Johnathon Ehsani

Michigan Technology Law Review

Safety. Mobility. Technology. Data. Equity. Autonomy. Community. Justice. Power. Trust. These themes have resonated over the last few years across a wide range of specific issues—some that are new and others that have only recently received the broader attention that they demand. A coming age of “perfect enforcement,” in which both public and private actors use increasingly powerful, pervasive, and affordable technologies to automatically identify and penalize every deviation from public or private rules, captures all these issues: They meet—in the language of physics, they interfere, whether constructively or destructively—to affect both perception and reality. The potential role of technology …