Science and Technology Law Commons^™

Judicial Underreach: Tiktok Inc. V. Garland'S Implications For National Security And Free Speech, Olivia Sharp

Colorado Law Student Scholars

No abstract provided.

The Domestic Mirror: Tiktok V. Garland, Data Privacy, And Meaningful Free Expression, Olivia Sharp

Colorado Law Student Scholars

No abstract provided.

Anchoring Digital Sovereignty, Vivek Krishnamurthy

Publications

For a quarter-century, a consensus has prevailed that territorial sovereignty applies online as it does offline. Since practically all the Internet's infrastructure and its billions of users reside on the territory of states, conventional wisdom holds that sovereignty must extend to cyberspace. Such accounts ignore how people experience cyberspace as a distinctive place, and how current international law lacks safeguards to prevent states from exercising their sovereignty to splinter the Internet into a set of national networks. Territorial sovereignty is also hard to square with pledges by the world's democracies to keep the Internet free, open, and global; yet it …

Taxing Novelty, Amanda Parsons

Publications

The advent of any new and unfamiliar economic activity sparks a flood of questions across a variety of legal fields, including tax law. This Article diagnoses the legal uncertainties surrounding novel activities as challenges of legibility in statecraft. Legibility is the process by which the state simplifies complex and often unfamiliar systems into a format that can be governed. Across broad areas of the law, placing things and activities into different legal categories is a means for the state to achieve legibility.

This Article aims to incorporate the framework of legibility into existing scholarly discourse on legal categories. Through the …

Centering The Vulnerable Through Data Protection, Scott Skinner-Thompson

Publications

No abstract provided.

From Gods To Google, Rebecca Aviel, Margot Kaminski, Toni M. Massaro, Andrew Keane Woods

Publications

The First Amendment has become a significant barrier to sensible technology regulation. The conventional explanation for this is the Court's deregulatory turn in free-speech law. But the Lochnerization story is incomplete. The Court's profound solicitude for religious speakers plays a central role in the current digital-free-expression landscape. By protecting the speech of certain religious dissidents, the Court has created a set of constitutional entitlements that logically extend to technology firms. Along the way, the Court has eroded its ability to apply the First Amendment sensibly to novel technologies.

This Feature draws the doctrinal through line from gods to Google. We …

Nist's Software Un-Standards, Bryan H. Choi

Publications

The National Institute of Standards and Technology (NIST) has become a beacon of hope for those who trust in federal standards for software and AI safety. Moreover, lawmakers and commentators have indicated that compliance with NIST standards ought to shield entities from liability. With more than a century of expertise in scientific research and standard setting, NIST would seem to be uniquely qualified to develop such standards.

But as I argue in this Article, this faith is misplaced. NIST’s latest forays in risk management frameworks disavow concrete metrics or outcomes, and solicit voluntary participation instead of providing stable mandates. That …

Impacted Stakeholder Participation In Ai And Data Governance, Margot Kaminski, Gianclaudio Malgieri

Publications

Privacy law has long centered on the individual. But we observe a meaningful shift toward group harm and rights. There is growing recognition that data-driven practices, including the development and use of artificial intelligence (AI) systems, affect not just atomized individuals but also their neighborhoods and communities, including and especially situationally vulnerable and historically marginalized groups.

This Article explores a recent shift in both data privacy law and the newly developing law of AI: a turn towards stakeholder participation in the governance of AI and data systems, specifically by impacted groups often though not always representing historically marginalized communities. In …

Ai Disgorgement Or Ai Recalls: A Trip Down Remedy Lane, Margot Kaminski

Publications

No abstract provided.

An American's Guide To The Eu Ai Act, Margot Kaminski, Andrew D. Selbst

Publications

The EU AI Act entered into force in August 2024. The AI Act is long. It is complicated. It relies on a regulatory framework and institutions unfamiliar to many in the United States. But as the first omnibus AI regulation worldwide, it has the potential to have a vast influence on both practice and lawmaking.

In this Article, we provide the American's Guide to the EU AI Act. This Article breaks down the AI Act for a U.S. law audience, explaining the overall mechanisms, and how the Act interacts with background EU laws and institutions. At its core, the AI …

Tainted Source Code, Bryan H. Choi

Publications

Open-source software has long eluded tort liability. Fierce ideological commitments and sticky license terms support a long tradition of forbearance against penalizing harmful or negligent work in open-source communities. The free, noncommercial, distributed, and anonymous characteristics of open-source contributions present additional obstacles to legal enforcement.

The exponential rise in software supply chain attacks has given new urgency to the problem of bad open-source code. Yet, current approaches are unlikely to meaningfully improve open-source security and safety. On the one hand, technological tools and self-governance mechanisms remain woefully underdeveloped and underutilized. On the other hand, liability proposals that place all the …

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

Publications

No abstract provided.

Constructing Ai Speech, Margot E. Kaminski, Meg Leta Jones

Publications

Artificial Intelligence (AI) systems such as ChatGPT can now produce convincingly human speech, at scale. It is tempting to ask whether such AI-generated content “disrupts” the law. That, we claim, is the wrong question. It characterizes the law as inherently reactive, rather than proactive, and fails to reveal how what may look like “disruption” in one area of the law is business as usual in another. We challenge the prevailing notion that technology inherently disrupts law, proposing instead that law and technology co-construct each other in a dynamic interplay reflective of societal priorities and political power. This Essay instead deploys …

Voices In, Voices Out: Impacted Stakeholders And The Governance Of Ai, Margot Kaminski

Publications

This Essay addresses reasons for impacted stakeholder involvement in AI governance, ranging from democratic accountability norms to principles of regulatory design. It evaluates several recent examples of both soft and hard law, noting a range of examples of impacted stakeholder participation. It closes with a critique: none of these laws adequately contemplates how to craft transparency and provide expertise so as to meaningfully empower impacted stakeholders.

Chatgpt, Ai Large Language Models, And Law, Harry Surden

Publications

This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.

Ai Malpractice, Bryan H. Choi

Publications

No abstract provided.

Section 230'S Debts, Blake Reid

Publications

Much attention has been paid to the unknown First Amendment permissibility of the government regulating social media platforms' carriage practices. The Supreme Court's impending resolution of the NetChoice cases poses a high-stakes First Amendment question: "Can the government permissibly dictate what types of content platforms publish?"

But how did the First Amendment stakes in NetChoice get so high? This Article identifies a long-standing gap in the Supreme Court's First Amendment jurisprudence for platform regulation following its decision in Reno v. ACLU. This Article attributes that gap to the accumulation of both interpretive and legislative debts by Section 230 of the …

Ai Malpractice, Bryan H. Choi

Publications

Should AI modelers be held to a professional standard of care? Recent scholarship has argued that those who build AI systems owe special duties to the public to promote values such as safety, fairness, transparency, and accountability. Yet, there is little agreement as to what the content of those duties should be. Nor is there a framework for how conflicting views should be resolved as a matter of law.

This Article builds on prior work applying professional malpractice law to conventional software development work, and extends it to AI work. The malpractice doctrine establishes an alternate standard of care—the customary …

Getting Real About Protecting Privacy, Scott Skinner-Thompson

Publications

No abstract provided.

Uncommon Carriage, Blake Reid

Publications

As states have begun regulating the carriage of speech by “Big Tech” internet platforms, scholars, advocates, and policymakers have increasingly focused their attention on the law of common carriage. Legislators have invoked common carriage to defend social media regulations against First Amendment challenges, making arguments set to take center stage in the Supreme Court’s impending consideration of the NetChoice saga.

This Article challenges the coherence of common carriage as a field and its utility for assessing the constitutionality and policy wisdom of internet regulation. Evaluating the post-Civil War history of common carriage regimes in telecommunications law, this Article illustrates that …

Valuing Social Data, Amanda Parsons, Salome Viljoen

Publications

Social data production—accumulating, processing, and using large volumes of data about people—is a unique form of value creation that characterizes the digital economy. Social data production also presents critical challenges for the legal regimes that encounter it. This Article provides scholars and policymakers with the tools to comprehend this new form of value creation through two descriptive contributions. First, it presents a theoretical account of social data, a mode of production that is cultivated and exploited for two distinct (albeit related) forms of value: prediction value and exchange value. Second, it creates and defends a taxonomy of three “scripts” that …

Race, Disability, And Section 230, Blake Reid

Publications

No abstract provided.

Abortions, Location Data, And The Fourth Amendment: Geofence Warrants In A Post-Roe World, Marlaina Pinto

Colorado Technology Law Journal

No abstract provided.

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 …

Reconsidering The Public Square, Helen L. Norton

Publications

No abstract provided.

The Right To Vote Securely, Sunoo Park

University of Colorado Law Review

American elections currently run on outdated and vulnerable technology. Computer science researchers have shown that voting machines and other election equipment used in many jurisdictions are plagued by serious security flaws, or even shipped with basic safeguards disabled. Making matters worse, it is unclear whether current law requires election authorities or companies to fix even the most egregious vulnerabilities in their systems, and whether voters have any recourse if they do not.

This Article argues that election law can, does, and should ensure that the right to vote is a right to vote securely. First, it argues that constitutional voting …

Humans In The Loop, Rebecca Crootof, Margot E. Kaminski, W. Nicholson Price Ii

Publications

From lethal drones to cancer diagnostics, humans are increasingly working with complex and artificially intelligent algorithms to make decisions which affect human lives, raising questions about how best to regulate these "human-in-the-loop" systems. We make four contributions to the discourse.

First, contrary to the popular narrative, law is already profoundly and often problematically involved in governing human-in-the-loop systems: it regularly affects whether humans are retained in or removed from the loop. Second, we identify "the MABA-MABA trap," which occurs when policymakers attempt to address concerns about algorithmic incapacities by inserting a human into a decision-making process. Regardless of whether the …

Toward Stronger Data Protection Laws, Margot E. Kaminski

Publications

No abstract provided.

Regulating The Risks Of Ai, Margot E. Kaminski

Publications

Companies and governments now use Artificial Intelligence (“AI”) in a wide range of settings. But using AI leads to well-known risks that arguably present challenges for a traditional liability model. It is thus unsurprising that lawmakers in both the United States and the European Union (“EU”) have turned to the tools of risk regulation in governing AI systems.

This Article describes the growing convergence around risk regulation in AI governance. It then addresses the question: what does it mean to use risk regulation to govern AI systems? The primary contribution of this Article is to offer an analytic framework for …

Robophobia, Andrew Keane Woods

University of Colorado Law Review

Robots-machines, algorithms, artificial intelligence-play an increasingly important role in society, often supplementing or even replacing human judgment. Scholars have rightly become concerned with the fairness, accuracy, and humanity of these systems. Indeed, anxiety about machine bias is at a fever pitch. While these concerns are important, they nearly all run in one direction: we worry about robot bias against humans; we rarely worry about human bias against robots.

This is a mistake. Not because robots deserve, in some deontological sense, to be treated fairly-although that may be true-but because our bias against nonhuman deciders is bad for us. For example, …