Computer Law Commons^™

Machines Finding Injustice, Hannah S. Laquer, Ryan W. Copus

SMU Science and Technology Law Review

With rising caseloads, review systems are increasingly taxed, stymieing traditional methods of case screening. We propose an automated solution: predictive models of legal decisions can be used to identify and focus review resources on outlier decisions—those decisions that are most likely the product of biases, ideological extremism, unusual moods, and carelessness and thus most at odds with a court’s considered, collective judgment. By using algorithms to find and focus human attention on likely injustices, adjudication systems can largely sidestep the most serious objections to the use of algorithms in the law: that algorithms can embed racial biases, deprive parties of …

Notice And Choice Must Go: The Collective Control Alternative, Richard Warner

SMU Science and Technology Law Review

Over twenty years of criticism conclusively confirm that Notice and Choice results in, as the law professor Fred Cate puts it, “the worst of all worlds: privacy protection is not enhanced, individuals and businesses pay the cost of bureaucratic laws.” So why is it still the dominant legislative and regulatory approach to ensuring adequate informational privacy online? Recent implementations of Notice and Choice include the European Union’s General Data Protection Regulation, and California’s Consumer Protection Privacy Act. There is a well-known alternative (advanced by Helen Nissenbaum and others) that sees informational privacy as arising from social norms that require conformity …

An Old Technology Solves An Old Problem: Rethinking The “World’S Water Battery”, Will Farmer

SMU Science and Technology Law Review

No abstract provided.

The California Consumer Privacy Act’S Potential Incompatibility With The United States’ Legal And Economic Landscape, Alexandra Henry

SMU Science and Technology Law Review

No abstract provided.

When Miracle Cures Go Bad: Regulators’ Responses To Unproven Direct-To-Consumer Stem Cell Therapies, Sydney Hope

SMU Science and Technology Law Review

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Copyright Law’S Impact On Machine Intelligence In The United States And The European Union, Matthew Sag

FIU Law Review

No abstract provided.

National Cybersecurity Innovation, Tabrez Y. Ebrahim

Faculty Scholarship

National cybersecurity plays a crucial role in protecting our critical infrastructure, such as telecommunication networks, the electricity grid, and even financial transactions. Most discussions about promoting national cybersecurity focus on governance structures, international relations, and political science. In contrast, this Article proposes a different agenda and one that promotes the use of innovation mechanisms for technological advancement. By promoting inducements for technological developments, such innovation mechanisms encourage the advancement of national cybersecurity solutions. In exploring possible solutions, this Article asks whether the government or markets can provide national cybersecurity innovation. This inquiry is a fragment of a much larger literature …

Transnational Government Hacking, Jennifer C. Daskal

Joint PIJIP/TLS Research Paper Series

No abstract provided.

Immersive Virtual Reality: Minnesota Legislature’S Opportunity To Protect Children From Sexual Exploitation By Enacting A Well-Defined Criminal Statute, Justine Wagner

Mitchell Hamline Law Review

No abstract provided.

Networks Of Empathy, Thomas E. Kadri

Scholarly Works

Digital abuse is on the rise. People increasingly use technology to perpetrate and exacerbate abusive conduct like stalking and harassment, manipulating digital tools to control and harm their victims. By some accounts, 95% of domestic-abuse cases involve technology, while a sizeable chunk of the U.S. population now admits to having suffered or perpetrated serious abuse online. To make matters worse, people often trivialize digital abuse or underestimate its prevalence. Even among those who do appreciate its severity, there remains ample disagreement about how to address it.

Although law can be a powerful tool to regulate digital abuse, legal responses are …

How Can We End #Cancelculture—Tort Liability Or Thumper’S Rule?, Nanci K. Carr

Catholic University Journal of Law and Technology

In the Disney film Bambi, when the young rabbit Thumper says that Bambi “is kinda wobbly” and “doesn’t walk too good,” Thumper’s mother tells him “if you can’t say something nice, don’t say anything at all.” The Des Moines Register seems to have forgotten Thumper’s Rule when it uncovered Carson King’s teenage tweets and canceled the relationship he had built with Busch Light while raising $3 million for the Stead Family Children’s Hospital. #CancelCulture is a social media phenomenon, where some people use their voices to cancel the platform enjoyed by others. It is the 2019 equivalent of the …

The Survival Of Critical Infrastructure: How Do We Stop Ransomware Attacks On Hospitals?, Helena Roland

Catholic University Journal of Law and Technology

Our nation’s infrastructure is under an emerging new threat: ransomware attacks. These attacks can cause anything from individual laptops, to entire cities to shut down for a period of time until the victim pays a ransom to the attacker. Unfortunately, these attacks are on the rise and the attackers have a new target: hospitals. Ransomware attacks on hospitals can temporarily shut down operating room technology and limit physician access to patient files, ultimately threatening the safety of hospital patients and the surrounding community. This paper examines how the threat of ransomware attacks on hospitals is on the rise and what …

Secret Algorithms, Ip Rights, And The Public Interest, Meghan J. Ryan

Faculty Journal Articles and Book Chapters

The secrecy surrounding the algorithms that play a central role in American life today is proving to have alarming effects. Judges and juries are convicting defendants based on secret evidence. Major advertisers like Facebook are discriminating against minorities seeking housing. And Russians may very well be hacking our voting machines to change election outcomes. The algorithm secrecy underlying these results obscures whether such legal outcomes are actually accurate and fair or whether they were based on faulty evidence, affected by bias, or manipulated by outside influences. These are just a handful of the public-interest perils of algorithm secrecy. This Article …

Facebook And The Future Of Fair Housing Online, Jacob Parker Black

Oklahoma Law Review

No abstract provided.

Introduction: Intelligent Entertainment: Shaping Policies On The Algorithmic Generation And Regulation Of Creative Works, Hannibal Travis

FIU Law Review

No abstract provided.

Can Algorithms Promote Fair Use?, Peter K. Yu

FIU Law Review

No abstract provided.

Spyware Vs. Spyware: Software Conflicts And User Autonomy, James Grimmelmann

Cornell Law Faculty Publications

No abstract provided.

The Overlapping Web Of Data, Territoriality And Sovereignty, Jennifer Daskal

Contributions to Books

Provides a framework to better understand Global Legal Pluralism and the current international state of law.

Equips practitioners, theorists, and students with deeper insights and analytical tools to describe the conflict among legal and quasi-legal systems.

Analyzes global legal pluralism in light of legal theory, constitutionalism, conflict of laws, international law, commercial transactions, and as it affects indigenous polities, religious orders, and citizenship.

Artificial Intelligence Inventions & Patent Disclosure, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial intelligence (“AI”) has attracted significant attention and has imposed challenges for society. Yet surprisingly, scholars have paid little attention to the impediments AI imposes on patent law’s disclosure function from the lenses of theory and policy. Patents are conditioned on inventors describing their inventions, but the inner workings and the use of AI in the inventive process are not properly understood or are largely unknown. The lack of transparency of the parameters of the AI inventive process or the use of AI makes it difficult to enable a future use of AI to achieve the same end state. While …

Nonexcludable Surgical Method Patents, Jonas Anderson

Scholarly Articles in Law Reviews & Journals

A patent consists of only one right: the right to exclude others from practicing the patented invention. However, one class of patents statutorily lacks the right to exclude direct infringers: surgical method patents are not enforceable against medical practitioners or health care facilities, which are the only realistic potential direct infringers of such patents. Despite this, inventors regularly file for (and receive) surgical method patents. Why would anyone incur the expense (more than $20,000 on average) of acquiring a patent on a surgical method if that patent cannot be used to keep people from using the patent?

The traditional answer …

Cyberattacks And The Constitution, Matthew C. Waxman

Faculty Scholarship

Contrary to popular view, cyberattacks alone are rarely exercises of constitutional war powers – and they might never be. They are often instead best understood as exercises of other powers pertaining to nonwar military, foreign affairs, intelligence, and foreign commerce, for example. Although this more fine-grained, fact-specific conception of cyberattacks leaves room for broad executive leeway in some contexts, it also contains a strong constitutional basis for legislative regulation of cyber operations.

The Very Brief History Of Decentralized Blockchain Governance, Michael Abramowicz

Vanderbilt Journal of Entertainment & Technology Law

A new form of blockchain governance involving the use of formal games that incentivize participants to identify focal resolutions to normative questions is emerging. This symposium contribution provides a brief survey of the literature proposing and critiquing the use of such mechanisms of decentralized decision-making, and it evaluates early laboratory and real-world experiments with this approach.

People V. Robots: A Roadmap For Enforcing California's New Online Bot Disclosure Act, Barry Stricke

Vanderbilt Journal of Entertainment & Technology Law

Bots are software applications that complete tasks automatically. A bot's communication is disembodied, so humans can mistake it for a real person, and their misbelief can be exploited by the bot owner to deploy malware or phish personal data. Bots also pose as consumers posting online product reviews or spread (often fake) news, and a bot owner can coordinate multiple social-network accounts to trick a network's "trending" algorithms, boosting the visibility of specific content, sowing and exacerbating controversy, or fabricating an impression of mass individual consensus. California's 2019 Bolstering Online Transparency Act (the "CA Bot Act') imposes conspicuous disclosure requirements …

Closed Adoption: An Illusory Promise To Birth Parents And The Changing Landscape Of Sealed Adoption Records, Bryn Baffer

Catholic University Journal of Law and Technology

Imagine spitting into a tube and mailing your DNA off only to discover that you had a sibling who had been adopted by another family or that a parent’s affair had resulted in a half-sibling. For many individuals, these family secrets have been exposed due to direct-to-consumer DNA testing companies, such as 23andMe.

By the 1950s, most states had enacted statutes that sealed adoption record files in order to preserve the privacy of the birth parents, adoptees, and adoptive families. While some states have moved toward granting adoptees access to their adoption records, most states still have some type of …

Cyber Insurance Today: Saving It Before It Needs Saving, Angela Nieves

Catholic University Journal of Law and Technology

Cyber insurance, which covers a company’s losses and costs stemming from a cyberattack, represents a nearly $5 billion global market. But have stakeholders shaped a sustainable model? This article analyzes contrasting claims about the viability of cyber insurance. It proposes measures to ensure the survival of the cyber insurance market, which should be immediately addressed given the current state of the world and the fact that even pre-COVID-19, businesses worldwide stood to lose over $5.2 trillion over the next five years due to cybercrimes. Unless action is taken to mitigate the fallout from cyber events, the cyber insurance market will …

Securing Technological Privacy: Modernizing The Texas Disciplinary Rules Of Professional Conduct To Protect Electronic Data, Ashley "Nikki" Vega

St. Mary's Journal on Legal Malpractice & Ethics

This comment explains how and why the Texas Disciplinary Rules of Professional Conduct (the “Texas Disciplinary Rules”) should be updated to reflect the modernization of technology. Lawyers must keep abreast of changes in the law and its practices; including those which are technological in nature. The American Bar Association (the “ABA”) recently amended the “technology provisions” of its Model Rules of Professional Conduct (the “Model Rules”); namely Rule 1.1 “Competence” and Rule 1.6 “Confidentiality of Information” in order to keep up with the benefits and risks associated with technology in the legal profession. Additionally, over half of all jurisdictions have …

Provisional Injunctive Relief Under The Utsa And The Dtsa In Federal Court New Product Cases, Richard F. Dole Jr.

SMU Science and Technology Law Review

No abstract provided.

Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert

Articles, Book Chapters, & Popular Press

Adversarial machine learning is the systematic study of how motivated adversaries can compromise the confidentiality, integrity, and availability of machine learning (ML) systems through targeted or blanket attacks. The problem of attacking ML systems is so prevalent that CERT, the federally funded research and development center tasked with studying attacks, issued a broad vulnerability note on how most ML classifiers are vulnerable to adversarial manipulation. Google, IBM, Facebook, and Microsoft have committed to investing in securing machine learning systems. The US and EU are likewise putting security and safety of AI systems as a top priority.

Now, research on adversarial …

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 …