Science and Technology Law Commons^™

Recovering Tech's Humanity, Olivier Sylvain

Faculty Scholarship

No abstract provided.

Artificial Intelligence Is Here, Get Ready!, Jessica G. Martz

Catholic University Journal of Law and Technology

No one is certain whether Artificial Intelligence (“AI”) will make the future a better place or make it look like an apocalyptic Hollywood blockbuster. An opinion that is emerging among experts and nation-state leaders is that the nation-states that lead in AI advancements and implementation will likely have a greater influence on and power over the world economic and national security stages. The goal of this book review is to encourage the reader to enter the conversation about the role AI will play in global society and American life because AI will influence the job market in the near future. …

The Right To Explanation, Explained, Margot E. Kaminski

Publications

Many have called for algorithmic accountability: laws governing decision-making by complex algorithms, or AI. The EU’s General Data Protection Regulation (GDPR) now establishes exactly this. The recent debate over the right to explanation (a right to information about individual decisions made by algorithms) has obscured the significant algorithmic accountability regime established by the GDPR. The GDPR’s provisions on algorithmic accountability, which include a right to explanation, have the potential to be broader, stronger, and deeper than the preceding requirements of the Data Protection Directive. This Essay clarifies, largely for a U.S. audience, what the GDPR actually requires, incorporating recently released …

Lessons From Literal Crashes For Code, Margot Kaminski

Publications

No abstract provided.

Binary Governance: Lessons From The Gdpr’S Approach To Algorithmic Accountability, Margot E. Kaminski

Publications

Algorithms are now used to make significant decisions about individuals, from credit determinations to hiring and firing. But they are largely unregulated under U.S. law. A quickly growing literature has split on how to address algorithmic decision-making, with individual rights and accountability to nonexpert stakeholders and to the public at the crux of the debate. In this Article, I make the case for why both individual rights and public- and stakeholder-facing accountability are not just goods in and of themselves but crucial components of effective governance. Only individual rights can fully address dignitary and justificatory concerns behind calls for regulating …

Artificial Intelligence And Law: An Overview, Harry Surden

Publications

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 …

Integrating Machine Learning In Law: A Precis Of Best Practices For Initial Law Firm Adoption, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

Much of the mystery surrounding machine learning lays not just in how it functions, but in how it is applied. This is especially true in the field of law, where the implementation of artificial intelligence has lagged other fields. This précis distills best practices of machine learning implementation and applies them succinctly to the unique environment of law. Guiding principles and considerations are provided for the technology team, the nature of law firm data, and the commitment level of the adopting law firm.

The Infinite Legal Acumen Of An Artificial Mind: How Machine Learning Can Permanently Capture Legal Expertise And Optimize The Law Firm Pyramid, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning’s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence, and …

Robotic Speakers And Human Listeners, Helen Norton

Seattle University Law Review

This article discusses protected First Amendment speech and how this protection should be applied to robotic speech. Robotic speech is that created by automated means, currently “bots” but the producers of automated speech are evolving. The article further differentiates between rights of the producers of this speech and listeners or consumers of the speech, and the impact of First Amendment protections on each group.

Introduction, Annette Clark

Seattle University Law Review

Introductory remarks given by Dean Annette Clark at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.”

Taxing & Zapping Marijuana: Blockchain Compliance In The Trump Administration Part 3, Richard Thompson Ainsworth, Brendan Magauran

Faculty Scholarship

This is the third of a five-part series dealing with the rescission by U.S. Attorney General Jeff Sessions of the Obama-era policy that discouraged federal prosecutors from bringing charges in all but the most serious marijuana cases.

This article focuses on cyber-attacks on the main commercial chain, and the use of a private blockchain using HyperLedger Fabric as a platform.

This fraud is a direct, criminal attack; an attack designed to destroy/corrupt records of marijuana inventory and plant tags throughout the supply chain. The attack allows legalized marijuana to escape the system and be sold on the black market. A …

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale

Faculty Scholarship

No abstract provided.

Emerging Technologies Challenging Current Legal Paradigms, W. Keith Robinson, Joshua T. Smith

Faculty Journal Articles and Book Chapters

U.S. patent law has made assumptions about where new inventions will be created, who will create them, and how they will be infringed. Throughout history, emerging technologies have challenged these paradigms. This decade’s emerging technologies will allow humans to create in virtual worlds, connect billions of every day devices via the Internet, and use artificial intelligence to invent across technology fields. If countries like the U.S. wish to encourage inventors to seek patent protection in these emerging areas, then a paradigm shift in the law must occur. Specifically, the law must clarify patent eligibility, recognize the increasing role of artificial …

Algorithms And Automation: Fostering Trustworthiness In Artificial Intelligence, Andrew B. Ware

Honors Theses and Capstones

No abstract provided.

Amoral Machines, Or: How Roboticists Can Learn To Stop Worrying And Love The Law, Bryan Casey

Northwestern University Law Review

The media and academic dialogue surrounding high-stakes decisionmaking by robotics applications has been dominated by a focus on morality. But the tendency to do so while overlooking the role that legal incentives play in shaping the behavior of profit-maximizing firms risks marginalizing the field of robotics and rendering many of the deepest challenges facing today’s engineers utterly intractable. This Essay attempts to both halt this trend and offer a course correction. Invoking Justice Oliver Wendell Holmes’s canonical analogy of the “bad man . . . who cares nothing for . . . ethical rules,” it demonstrates why philosophical abstractions like …

Emergent Ai, Social Robots And The Law: Security, Privacy And Policy Issues, Ramesh Subramanian

Journal of International Technology and Information Management

The rapid growth of AI systems has implications on a wide variety of fields. It can prove to be a boon to disparate fields such as healthcare, education, global logistics and transportation, to name a few. However, these systems will also bring forth far-reaching changes in employment, economy and security. As AI systems gain acceptance and become more commonplace, certain critical questions arise: What are the legal and security ramifications of the use of these new technologies? Who can use them, and under what circumstances? What is the safety of these systems? Should their commercialization be regulated? What are the …

Authorship, Disrupted: Ai Authors In Copyright And First Amendment Law, Margot E. Kaminski

Publications

Technology is often characterized as an outside force, with essential qualities, acting on the law. But the law, through both doctrine and theory, constructs the meaning of the technology it encounters. A particular feature of a particular technology disrupts the law only because the law has been structured in a way that makes that feature relevant. The law, in other words, plays a significant role in shaping its own disruption. This Essay is a study of how a particular technology, artificial intelligence, is framed by both copyright law and the First Amendment. How the algorithmic author is framed by these …

Machine Learning And Law, Harry Surden

Publications

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …

From Google To Tolstoy Bot: Should The First Amendment Protect Speech Generated By Algorithms?, Margot Kaminski

Publications

No abstract provided.