Computer Law Commons^™

Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi

Fordham Law Review

A profound shift is occurring in the way many decisions are made, with machines taking greater roles in the decision-making process. Two arguments are often advanced to justify the increasing use of automation and algorithms in decisions. The “Awful Human Argument” asserts that human decision-making is often awful and that machines can decide better than humans. Another argument, the “Better Together Argument,” posits that machines can augment and improve human decision-making. These arguments exert a powerful influence on law and policy.

In this Essay, we contend that in the context of making decisions about humans, these arguments are far too …

Slavery.Ai, Emile Loza De Siles

Washington and Lee Journal of Civil Rights and Social Justice

The artificial intelligence market is swarming. Supercharged start-ups, global tech giants, and increasingly algorithmic governments target diverse use cases with new and stunningly innovative AI applications coming online every day. Where people are the computational subjects of those algorithmic machinations, however, there is no law, present or effective, to protect them against great and propagating harms. Consequently, people become data production units, the commoditized of the Data Industrial Complex and unfree, unpaid inputs to AI production.

This Article shares a new and provocative vision. It theorizes that unregulated AI systems and uses are giving rise to an emergent form of …

Fitting A Block Into A Sphere Mold: The Inadequacy Of Current Data Privacy Regulations In Protecting Data Privacy Within The Blockchain Space, Jenny Yang

Washington and Lee Journal of Civil Rights and Social Justice

Despite global imposition of data privacy laws and regulations, data privacy is a nonexistent luxury amongst the data-charged world we live in. Data privacy has long been established as a fundamental right. Entities have successfully established robust methodologies around existing data privacy laws and regulations to utilize past consumer behavior to predict, impact and manipulate current and future consumer behaviors. This phenomenon has been commonly coined as “corporate surveillance.” Emerging spaces arising through technological developments have greater access into consumer data to impact economic choices. Specifically, the blockchain space, through its unique open-source and permanent traits, has been able to …

Chatgpt, Large Language Models, And Law, Harry Surden

Fordham Law Review

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.

Techno-Legal Solutionism: Regulating Children's Online Safety In The United States, Maria P. Angel, Danah Boyd

Scholarly Works

Convinced that social media is directly harming children, policymakers have started to introduce legislation that requires technology companies to be safe by design through “duty of care” provisions. Unlike regulations that focus on product safety, these bills incorporate technosolutionist logics into regulation by presuming that technology companies can remedy complex harms like mental health duress and bullying if their products were only designed better. In this paper, we unpack the theory of change at the center of the “duty of care” included in the “Kids Online Safety Act” (KOSA). We argue that techno-legal solutionism is both ineffective as a framework …

The Unregulated World Of Your Most Personal Of Personal Information: A Proposal For A Federal Biometric Information Privacy Law, Isabel M. Vuyk

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Why Outlaw Laws?: An Argument For A Probationary Period For Lethal Autonomous Weapons Systems Under Meaningful Human Control., Katherine E. Vuyk

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Deontic Meta-Rules, Francesco Olivieri, Guido Governatori, Matteo Cristani, Antonino Rotolo, Abdul Sattar

Centre for Computational Law (2022-2025)

The use of meta-rules in logic, i.e., rules whose content includes other rules, has recently gained attention in the setting of non-monotonic reasoning: a first logical formalisation and efficient algorithms to compute the (meta)-extensions of such theories were proposed in Olivieri et al. (2021, Computing defeasible meta-logic. In JELIA 2021, LNCS, vol. 12678, pp. 69-84. Springer.). This work extends such a logical framework by considering the deontic aspect. The resulting logic will not just be able to model policies but also tackle well-known aspects that occur in numerous legal systems. The use of Defeasible Logic to model meta-rules in the …

Filtered Dragnets And The Anti-Authoritarian Fourth Amendment, Jane R. Bambauer

UF Law Faculty Publications

Filtered dragnets are digital searches that identify a suspect based on the details of a crime. They can be designed to withhold information from law enforcement unless and until there is a very high probability that the individual has committed the offense. Examples today include DNA matching, facial recognition from photographs or video of a crime, automated child sexual abuse material detection, and reverse geolocation (geofence) searches. More are sure to come, and their wide-scale use will be irresistible to improve the low rates of criminal detection that currently afflict many communities.

However, filtered dragnets imperil society precisely because they …

Legal And Ethical Challenges Raised By Advances In Brain-Computer Interface Technology, Colin Conrad, Carla Heggie

Canadian Journal of Law and Technology

Brain-computer interfaces (BCI) consist of hardware and software that allow humans to control computers with their brain signals alone. Though these technologies are not new, existing approaches to BCI are either very limited in their capabilities or require highly invasive surgery. However, BCI has recently received increased attention due to advances that enable enhanced usability with less invasive approaches. Such advances could radically change the acceptance of the technology and BCI might become commonplace in the coming decades. In this article, we provide a technology scholar’s perspective on how these recent advances in BCI present new legal and ethical considerations. …

Orthogonalizing Inputs, Talia B. Gillis

Faculty Scholarship

This paper examines an approach to algorithmic discrimination that seeks to blind predictions to protected characteristics by orthogonalizing inputs. The approach uses protected characteristics (such as race or sex) during the training phase of a model but masks these during deployment. The approach posits that including these characteristics in training prevents correlated features from acting as proxies, while assigning uniform values to them at deployment ensures decisions do not vary by group status.

Using a prediction exercise of loan defaults basedon mortgage HMDA data and German credit data, the paper highlights the limitations of this orthogonalization strategy. Applying a lasso …

More Than ‘‘Responsible Ai” Bridging Artificial Intelligence Systems (Ais) And Aisystems Ethics Into Practice, Ruth Bankey

Canadian Journal of Law and Technology

This article reflects on the question ‘‘how should we approach the ethics of AI and technology?” through the example of how the Canada Revenue Agency (CRA) is working within this space to develop its Artificial Intelligence Systems (AIS) Ethics Lifelong Learning and Professional Development Strategy. This strategy is connected, but also acts as a critical counterpoint, to approaches to AI governance and accountability that are reliant on a notion of ‘‘Responsible AI”. In these contexts, responsible AI is understood as the regulatory adoption of ‘‘rules” diffused through a normative structure of hierarchical authority within the organization or business. Rather, this …

Legal Framework For The Use Of Artificial Intelligence (Ai) Technology In The Canadian Criminal Justice System, Gideon Christian

Canadian Journal of Law and Technology

This article seeks to identify and examine critical issues arising from the deployment and use of AI recidivism risk assessment tools in the Canadian criminal justice system. It commences with the historical evolution of these tools in the criminal justice system, tracing their development from the first generation to the emergence of AI-driven risk assessments. By examining the progression of risk assessment tools from their origins to the current AI-powered systems this research aims to provide a comprehensive understanding of the challenges and opportunities that these tools present. The article then delves into crucial issues such as algorithmic bias, highlighting …

Trinity Western University Decisions And Engineers’ Equity, Diversity, And Inclusion Obligations Under The Statutory Public Interest Mandate, Michelle Liu, Vanessa Matta

Canadian Journal of Law and Technology

Engineers create technologies but do not sufficiently care for their biased and inequitable outcomes despite the engineering profession’s statutory mandate to protect the public interest. The engineering and legal professions’ similar admission processes and statutory provisions mandating the protection of public interest may justify applying the Supreme Court of Canada’s interpretation of the legal profession’s public interest mandate in the Trinity Western University decisions to the engineering profession. The Supreme Court’s interpretation centres on equal access to the profession, diversity within its membership, and protection of 2SLGBTQ+ persons. The work begins by setting out the definitions and challenges of equity, …

Someone Please Do Something: The Fight For Web Accessibility Rages On, James Mazzone

West Virginia Law Review

When the Americans with Disabilities Act (“ADA”) was enacted in 1990, no one could have envisioned the way technology would dominate society as it does today. Title III, Public Accommodations, of the ADA was enacted to allow disabled individuals the opportunity to fully enjoy equal access to goods and services offered to the public. Title III has traditionally been applied to physical, stand-alone locations such as hotels, shopping centers, and restaurants. However, almost every facet of an American’s life today involves a screen emitting a bright light. Additionally, businesses of all sizes are facing mountains of web accessibility litigation due …

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 …

Virtual Stardom: The Case For Protecting The Intellectual Property Rights Of Digital Celebrities As Software, Alexander Plansky

University of Miami Business Law Review

For the past several decades, technology has allowed us to create digital human beings that both resemble actual celebrities (living or deceased) or entirely virtual personalities from scratch. In the near future, this technology is expected to become even more advanced and widespread to the point where there may be entirely virtual celebrities who are just as popular as their flesh-and-blood counterparts—if not more so. This raises intellectual property questions of how these near-future digital actors and musicians should be classified, and who will receive the proceeds from their performances and appearances. Since, in the near-term, these entities will probably …

From Alpha To Omegle: A.M. V. Omegle And The Shift Towards Product Liability For Harm Incurred Online, Preston Buchanan

University of Miami Business Law Review

But for the Internet, many of our interactions with others would be impossible. From socializing to shopping, and, increasingly, working and attending class, the Internet greatly facilitates the ease of our daily lives. However, we frequently neglect to consider that our conduits to the Internet have the potential to lead to harm and injury. When the Internet was in its infancy, and primarily was a repository of information, Congress recognized the threat of continual lawsuits against online entities stemming from the content created by their users. The Communications Decency Act of 1996 arose to mitigate the seemingly Herculean task for …

Privacy’S Next Act, Erik Lampmann-Shaver

Washington Journal of Law, Technology & Arts

This Article identifies and describes three data privacy policy developments from recent legislative sessions that may seem unrelated, but which I contend together offer clues about privacy law’s future over the short-to-medium term.

The first is the proliferation, worldwide and in U.S. states, of legislative proposals and statutes referred to as “age-appropriate design codes.” Originating in the United Kingdom, age-appropriate design codes typically apply to online services “directed to children” and subject such services to transparency, default settings, and other requirements. Chief among them is an implied obligation to conduct ongoing assessments of whether a service could be deemed “directed …

Limits Of Algorithmic Fair Use, Jacob Alhadeff, Cooper Cuene, Max Del Real

Washington Journal of Law, Technology & Arts

In this article, we apply historical copyright principles to the evolving state of text-to-image generation and explore the implications of emerging technological constructs for copyright’s fair use doctrine. Artificial intelligence (“AI”) is frequently trained on copyrighted works, which usually involves extensive copying without owners’ authorization. Such copying could constitute prima facie copyright infringement, but existing guidance suggests fair use should apply to most machine learning contexts. Mark Lemley and Bryan Casey argue that training machine learning (“ML”) models on copyrighted material should generally be permitted under fair use when the model’s outputs transcends the purpose of its inputs. Their arguments …