Computer Law Commons^™

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.

Good Health And Good Privacy Go Hand-In-Hand (Originally Published By Jnslp), Jennifer Daskal

Joint PIJIP/TLS Research Paper Series

No abstract provided.

Should Judges Have A Duty Of Tech Competence?, John G. Browning

St. Mary's Journal on Legal Malpractice & Ethics

In an era in which lawyers are increasingly held to a higher standard of “tech competence” in their representation of clients, shouldn’t we similarly require judges to be conversant in relevant technology? Using real world examples of judicial missteps with or refusal to use technology, and drawn from actual cases and judicial disciplinary proceedings, this Article argues that in today’s Digital Age, judicial technological competence is necessary. At a time when courts themselves have proven vulnerable to cyberattacks, and when courts routinely tackle technology related issues like data privacy and the admissibility of digital evidence, Luddite judges are relics that …

Artificial Financial Intelligence, William Magnuson

Faculty Scholarship

Recent advances in the field of artificial intelligence have revived long-standing debates about what happens when robots become smarter than humans. Will they destroy us? Will they put us all out of work? Will they lead to a world of techno-savvy haves and techno-ignorant have-nots? These debates have found particular resonance in finance, where computers already play a dominant role. High-frequency traders, quant hedge funds, and robo-advisors all represent, to a greater or lesser degree, real-world instantiations of the impact that artificial intelligence is having on the field. This Article will argue that the primary danger of artificial intelligence in …

The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D.

Georgia State University Law Review

An examination of technology in the countertrafficking space reveals recurring tensions between law enforcement and rights-based approaches. It also illuminates assumptions, such as the one that posits more law enforcement-focused, nonstate-actor-supported data-driven efforts are necessary to securing justice for people in trafficking situations. However, a closer look at how technology is used and by whom also invites us to ask different questions and to leverage the power of our all-too-human creative potential in thinking about how to value and prioritize data ethics, transparency, and accountability in future countertrafficking work.

Measuring Baseball’S Heartbeat: The Hidden Harms Of Wearable Technology To Professional Ballplayers, John A. Balletta

Duke Law & Technology Review

No abstract provided.

Autonomous Systems As Legal Agents: Directly By The Recognition Of Personhood Or Indirectly By The Alchemy Of Algorithmic Entities, Dalton Powell

Duke Law & Technology Review

No abstract provided.

The Danger Of Facial Recognition In Our Children’S Classrooms, Nila Bala

Duke Law & Technology Review

No abstract provided.

A Dangerous Inheritance: A Child’S Digital Identity, Kate Hamming

Seattle University Law Review

This Comment begins with one family’s story of its experience with social media that many others can relate to in today’s ever-growing world of technology and the Internet. Technology has made it possible for a person’s online presence to grow exponentially through continuous sharing by other Internet users. This ability to communicate and share information amongst family, friends, and strangers all over the world, while beneficial in some regard, comes with its privacy downfalls. The risks to privacy are elevated when children’s information is being revealed, which often stems from a child’s own parents conduct online. Parents all over the …

Protecting Online Privacy In The Digital Age: Carpenter V. United States And The Fourth Amendment’S Third-Party Doctrine, Cristina Del Rosso, Carol M. Bast

Catholic University Journal of Law and Technology

The goal of this paper is to examine the future of the third-party doctrine with the proliferation of technology and the online data we are surrounded with daily, specifically after the Supreme Court’s decision in Carpenter v. United States. It is imperative that individuals do not forfeit their Constitutional guarantees for the benefit of living in a technologically advanced society. This requires an understanding of the modern-day functional equivalents of “papers” and “effects.”

Looking to the future, this paper contemplates solutions on how to move forward in this technology era by scrutinizing the relevancy of the third-party doctrine due …

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 …

Implementing Ethics Into Artificial Intelligence: A Contribution, From A Legal Perspective, To The Development Of An Ai Governance Regime, Axel Walz, Kay Firth-Butterfield

Duke Law & Technology Review

The increasing use of AI and autonomous systems will have revolutionary impacts on society. Despite many benefits, AI and autonomous systems involve considerable risks that need to be managed. Minimizing these risks will emphasize the respective benefits while at the same time protecting the ethical values defined by fundamental rights and basic constitutional principles, thereby preserving a human centric society. This Article advocates for the need to conduct in-depth risk-benefit-assessments with regard to the use of AI and autonomous systems. This Article points out major concerns in relation to AI and autonomous systems such as likely job losses, causation of …

Using A Human Rights Framework For Regulating The Internet Of Things: The Critical Role Of Human Rights Advocacy, Adam Todd

Biennial Conference: The Social Practice of Human Rights

The Internet of Things (IoT) refers to the billions of technical devices around the globe that connect to and communicate through the Internet. These devices collect, store and share vast amounts of valuable data. With the advent of 5G (fifth generation cellular network technology), IoT is expected to grow even more dramatically over the coming decade and likely to change our lives in ways we have yet to imagine.

IoT holds the promise of advancing human rights by facilitating the technology that can lead to a healthier, cleaner, and more sustainable environment, and greater access to education, better healthcare, capital, …

From The Myth Of Babel To Google Translate: Confronting Malicious Use Of Artificial Intelligence—Copyright And Algorithmic Biases In Online Translation Systems, Shlomit Yanisky-Ravid, Cynthia Martens

Seattle University Law Review

Many of us rely on Google Translate and other Artificial Intelligence and Machine Learning (AI) online translation daily for personal or commercial use. These AI systems have become ubiquitous and are poised to revolutionize human communication across the globe. Promising increased fluency across cultures by breaking down linguistic barriers and promoting cross-cultural relationships in a way that many civilizations have historically sought and struggled to achieve, AI translation affords users the means to turn any text—from phrases to books—into cognizable expression. This Article discusses the burgeoning possibilities in the 3A Era (Advanced, Autonomous, AI systems) of AI online translation as …

Review Of Ian Kerr And Jane Bailey, The Implications Of Digital Rights Management For Privacy And Freedom Of Expression, 2 Journal Of Information, Communication & Ethics In Society 87 (2004), Ann Bartow

Law Faculty Scholarship

Ian Kerr, who passed away far too young in 2019, was an incisive scholar and a much treasured colleague. The wit that sparkled in his papers was matched only by his warmth toward his friends, of whom there were many. He and his many co-authors wrote with deep insight and an equally deep humanity about copyright, artificial intelligence, privacy, torts, and much much more.

Ian was also a valued contributor to the Jotwell Technology Law section. His reviews here display the same playful generosity that characterized everything else he did. In tribute to his memory, we are publishing a memorial …

Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley

Georgia State University Law Review

This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question answering (QA)—and illustrates how some currently available commercial applications employ or combine them. It then examines how well the text analytic techniques can answer legal questions given some inherent limitations in the technology. In more detail, ML refers to computer programs that use statistical means to induce or learn models from data with which they can classify a document or predict an outcome for a new case. Predictive coding techniques employed in e-discovery have already introduced ML from text into law firms. Network diagrams graph the relations between …

Legal Intelligence Through Artificial Intelligence Requires Emotional Intelligence: A New Competency Model For The 21st Century Legal Professional, Alyson Carrel

Georgia State University Law Review

The nature of legal services is drastically changing given the rise in the use of artificial intelligence and machine learning. Legal education and training models are beginning to recognize the need to incorporate skill building in data and technology platforms, but they have lost sight of a core competency for lawyers: problem-solving and decision-making skills to counsel clients on how best to meet their desired goals and needs. In 2014, Amani Smathers introduced the legal field to the concept of the T-shaped lawyer. The T-shaped lawyer stems from the concept of T-shaped professionals who have a depth of knowledge in …

Legal Analytics, Social Science, And Legal Fees: Reimagining "Legal Spend" Decisions In An Evolving Industry, Nancy B. Rapoport, Joseph R. Tiano Jr.

Georgia State University Law Review

To give you a feel for the power of legal analytics, imagine that you are the managing partner of a law firm. With a good set of algorithms and the push of a few buttons, you can make sure that you’ve delegated each part of an assignment to the professional with the exact combination of experience, talent, and diligence to maximize your firm’s client satisfaction and profitability. The client will be pleased both with the work product and its efficiency—and will pay your full bill without any grumbling or request for a reduction of the fees. The client will even …

The Model Rules Of Autonomous Conduct: Ethical Responsibilities Of Lawyers And Artificial Intelligence, Ed Walters

Georgia State University Law Review

Practitioners use artificial-intelligence (AI) tools in fields as varied as finance, medicine, human resources, marketing, sports, and many others. Now, for the first time, lawyers are beginning to use similar tools in the delivery of legal services. Where once lawyers may have only used AI for electronic discovery (eDiscovery), today they are using AI for legal research, drafting, contract management, and litigation strategy. The use of AI to deliver legal services is not without its detractors, and some have suggested that the use of AI may take the jobs of lawyers—or worse, make lawyers obsolete. Others suggest that using AI …

Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen

Georgia State University Law Review

In this project, the authors obtained public data on over 100,000 Chapter 11 bankruptcy cases and used machine and deep-learning methodologies to explore whether models could be designed to predict Chapter 11 case outcomes. The data used was obtained from the Federal Judicial Center’s bankruptcy Integrated Database and included information about case filing dates, the court where the case was filed, the type of business entity, and basic information about assets and liabilities. Using this information, the authors initially sought to predict whether a particular case was dismissed, converted to another Chapter under the Bankruptcy Code, or closed with a …

Where Do We Go From Here? Transformation And Acceleration Of Legal Analytics In Practice, Patrick Flanagan, Michelle H. Dewey

Georgia State University Law Review

The advantages of evidence-based decision-making in the practice and theory of law should be obvious: Don’t make arguments to judges that seldom persuade; Jurisprudential analysis ought to align with sound social science; Attorneys should pitch legal work to clients that demonstrably need it. Despite the appearance of simplicity, there are practical and attitudinal barriers to finding and incorporating data into the practice of law.

This article evaluates the current technologies and systems used to publish and analyze legal information from a researcher’s perspective. The authors also explore the technological, economic, political, and legal impediments that have prevented legal information systems …

Artificial Intelligence And Law: An Overview, Harry Surden

Georgia State University Law Review

Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? This article addresses those questions by providing a high-level overview of AI and its use within law. The discussion aims to be nuanced but also understandable to those without a technical background. To that end, I first discuss AI generally. I then turn to AI and how it is being used by lawyers in the practice of law, people and companies who are governed by the law, and government officials who administer the …

Where To Prosecute Cybercrimes, Jacob T. Wall

Duke Law & Technology Review

Selecting the appropriate venue for a criminal trial has been a matter of constitutional concern since the founding of the country. The issue is thought to be essential to the fair administration of justice and thus public confidence in the criminal justice system. Constitutionally, crimes must be prosecuted in the states and districts in which they were committed. However, the rise of cybercrime has complicated the venue inquiry: cyberspace, the domain of cybercrime, and physical space have become increasingly decoupled. Consequently, under America’s primary but dated cybercrime law, the ideal location for a trial may not be a constitutionally proper …

Regulating The Gdpr: Perspectives From The United Kingdom, Hannah Mccausland

Seattle University Law Review

Hannah McCausland leads the international group at the UK Information Commissioner’s Office (ICO). The ICO’s International Engagement functions as the gateway to other data protection and privacy authorities on international matters. She’s involved in the work of the EU European Data Protection Board advising the commissioner and the deputy commissioner on international positioning of the ICO, and she has played a key role over the past six years in the ICO’s strategy on navigating the EU’s data protection framework. Hannah has also played a major role at the global level and advancing the practical tools that data protection and privacy …

Non-Autonomous Artificial Intelligence Programs And Products Liability: How New Ai Products Challenge Existing Liability Models And Pose New Financial Burdens, Greg Swanson

Seattle University Law Review

This Comment argues that the unique relationship between manufacturers, consumers, and their reinforcement learning AI systems challenges existing products liability law models. These traditional models inform how to identify and apportion liability between manufacturers and consumers while exposing litigants to low-dollar tort remedies with inherently high-dollar litigation costs.11 Rather than waiting for AI autonomy, the political and legal communities should be proactive and generate a liability model that recognizes how new AI programs have already redefined the relationship between manufacturer, consumer, and product while challenging the legal and financial burden of prospective consumer-plaintiffs and manufacturer-defendants.

Cybersecurity Oversight Liability, Benjamin P. Edwards

Georgia State University Law Review

A changing cybersecurity environment now poses a significant corporate-governance challenge. Although some cybersecurity data breaches may be inevitable, courts now increasingly consider when a corporation’s officers and directors may be held liable on theories that they acted in bad faith and failed to adequately oversee the corporation’s affairs. This short essay reviews recent derivative decisions and encourages corporate boards to recognize that in an environment filled with increasing threats, a reasonable response will require devoting real resources and attention to cybersecurity issues.

Internet Of Infringing Things: The Effect Of Computer Interface Copyrights On Technology Standards, Charles Duan

Scholarly Articles in Law Reviews & Journals

You connect to the Internet via your Wi-Fi access point. You surf the Web using a browser and send emails through your email server. You probably use some USB peripherals-say a mouse, keyboard, or printer. Maybe you even watch cable or broadcast television.

Under current case law, each of those computer systems and devices may very well be copyright-infringing contraband. This is through no fault of your own-you need not be pirating music or streaming illegal movies to infringe a copyright. The infringement simply exists, hard-wired within each of those devices and many more that you use, a result of …

Authors And Machines, Jane C. Ginsburg, Luke Ali Budiardjo

Faculty Scholarship

Machines, by providing the means of mass production of works of authorship, engendered copyright law. Throughout history, the emergence of new technologies tested the concept of authorship, and courts in response endeavored to clarify copyright’s foundational principles. Today, developments in computer science have created a new form of machine, the “artificially intelligent” (AI) system apparently endowed with “computational creativity.” AI systems introduce challenging variations on the perennial question of what makes one an “author” in copyright law: Is the creator of a generative program automatically the author of the works her process begets, even if she cannot anticipate the contents …

Data Generated By New Technologies And The Law: A Guide For Massachusetts Practitioners, Andrew Sellars

Faculty Scholarship

This brief paper, created as part of a training on new technologies and evidence for MCLE New England, outlines the standards used to compel disclosure of information under the Stored Communication Act, and reviews the types of data stored on various consumer devices and their likely custodians, as well as cases and notes relevant to each devices. The paper serves as a quick introduction and checklist for those considering gathering information from these devices in the course of investigations in Massachusetts. The devices outlined include cell phones, social media platforms, secure messaging services, fitness trackers, home assistant devices (or "smart …

Lessons From Literal Crashes For Code, Margot Kaminski

Publications

No abstract provided.