Law Commons^™

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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.