AI poses unpredictable risks that challenge traditional insurance models. This article proposes a government-backed insurance framework—like the Price-Anderson Act for nuclear energy—to manage AI-related harms and ensure victims are compensated as the technology evolves.
Artificial Intelligence (AI) is not some futuristic technology—it exists in everyday products like your Uber app or the Siri voice on your nightstand. Its development is meteoric; foundation models are the latest AI advancement. These models are a type of AI that not only produces a range of products
The Act primarily functions to require age verification and parental consent for social media usage by minors under the age of sixteen and to terminate the use of social medias in schools. The Act further empowers the Department of Education to create model programs in schools to teach digital citizenship
Exploring the professional obligations practitioners may face in light of developing AI technology by examining state and federal model rule language, current judicial treatment of AI, and AI best practices.
Courts and commentators dispute the usefulness of physical analogies in interpreting computer crime statutes. But how should courts interpret a statute, like Georgia’s, for which the analogy appears essential?
E-commerce provides consumers many new ways to transact business. These include clickwrap contracts, digital wallets, and bitcoin. Courts and agencies are struggling to determine if consumer protection statutes apply.
In 1973, experts Homer Kripke and John J. Slain published a
seminal study titled The Interface Between Securities Regulation and
Bankruptcy—Allocating the Risk of Illegal Securities Issuance
between Securityholders and the Issuer’s Creditors. That lengthy
analysis, contributed by, respectively, a former Securities and
Exchange Commission official and a
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
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
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,
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
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
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
Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor– examiner interaction to machine–human interactions. In response to automated patent drafting, automated office-action responses, “cloems” (computer-generated word permutations) for defensive patenting,
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
