Science and Technology Law Commons^™

Sharing The Costs Of Artificial Intelligence: Universal No-Fault Social Insurance For Personal Injuries, Jin Yoshikawa

Vanderbilt Journal of Entertainment & Technology Law

The twenty-first century is the artificial intelligence (AI) century. In the past few years, AI has become a familiar fixture of everyday life thanks to services like YouTube, Spotify, Netflix, and Alexa. Stocktraders, doctors, insurance brokers, real estate agents, recruiters, artists,and even lawyers now rely on predictive tools powered by AI to perform their highly skilled--even creative--tasks. In the following decades, AI will continue to transform more fields and deliver astonishing advancements in convenience, comfort, safety, and security. At the same time, however, AI will bring about new challenges. AI will offend, disrupt, crash, breach, incite, injure, and even kill …

Law's Halo And The Moral Machine, Bert I. Huang

Faculty Scholarship

How will we assess the morality of decisions made by artificial intelli­gence – and will our judgments be swayed by what the law says? Focusing on a moral dilemma in which a driverless car chooses to sacrifice its passenger to save more people, this study offers evidence that our moral intuitions can be influenced by the presence of the law.

Bots, Bias And Big Data: Artificial Intelligence, Algorithmic Bias And Disparate Impact Liability In Hiring Practices, Mckenzie Raub

Arkansas Law Review

This discussion is divided into three basic parts. Part one will provide a brief overview of artificial intelligence technology, its societal implications, and use emerging uses in hiring. Part two will discuss the potential for Title VII disparate impact arising from the use of artificial intelligence in hiring. Finally, part three will discuss proposed solutions to the challenges associated with the use of artificial intelligence technology, ultimately advocating for an approach that involves careful selection of the artificial intelligence program and balancing the use of artificial intelligence technology with human intuition.

The Business Of Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

New machine learning techniques have led to an acceleration of “artificial intelligence” (AI). Numerous papers have projected substantial job losses based on assessments of technical feasibility. But what is the actual impact? This paper reports on a survey of commercial AI startups, documenting rich detail about their businesses and their impacts on their customers. These firms report benefits of AI that are more often about enhancing human capabilities than replacing them. Their applications more often increase professional, managerial, and marketing jobs and decrease manual, clerical, and frontline service jobs. These startups sell to firms of different sizes, in different industries …

Outcome Prediction In The Practice Of Law, Mark K. Osbeck, Michael Gilliland

Articles

Business forecasters typically use time-series models to predict future demands, the forecasts informing management decision making and guiding organizational planning. But this type of forecasting is merely a subset of the broader field of predictive analytics, models used by data scientists in all manner of applications, including credit approvals, fraud detection, product-purchase and music-listening recommendations, and even the real-time decisions made by self-driving vehicles. The practice of law requires decisions that must be based on predictions of future legal outcomes, and data scientists are now developing forecasting methods to support the process. In this article, Mark Osbeck and Mike Gilliland …

The Policy Challenge Of Artificial Intelligence, James Bessen

Faculty Scholarship

New "artificial intelligence" (AI) technology promises to bring dramatic social and economic changes, demanding major policy changes. In intellectual property and antitrust law, AI will exacerbate a damaging trend: across all major sectors of the economy, proprietary information technology is increasing the market dominance of large firms. This trend might not seem like bad news, but it is evidence of a slowdown in the spread of technical knowledge throughout the economy. The result is rising industry concentration, slower productivity growth and growing wage inequality. The key challenge to IP and antitrust policy will be counter this trend yet maintain innovation …

Humans Forget, Machines Remember: Artificial Intelligence And The Right To Be Forgotten, Eduard Fosch Villaronga, Peter Kieseberg, Tiffany Li

Faculty Scholarship

To understand the Right to be Forgotten in context of artificial intelligence, it is necessary to first delve into an overview of the concepts of human and AI memory and forgetting. Our current law appears to treat human and machine memory alike – supporting a fictitious understanding of memory and forgetting that does not comport with reality. (Some authors have already highlighted the concerns on the perfect remembering.) This Article will examine the problem of AI memory and the Right to be Forgotten, using this example as a model for understanding the failures of current privacy law to reflect the …

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

Faculty Scholarship

No abstract provided.

Ethics Of Using Artificial Intelligence To Augment Drafting Legal Documents, David Hricik

Articles

Skynet is not and may never be self-aware, but machines are al-ready doing legal research, drafting legal documents, negotiating disputes such as traffic tickets and divorce schedules, and even drafting patent applications. Machines learn from us, and each other, to augment the ability of lawyers to represent clients—and even to replace lawyers completely. While it also threatens lawyers’ jobs, the exponential increase in the capacity of machines to transmit, store, and process data presents the opportunity for lawyers to use these services to provide better, cheaper, or faster legal representation to clients. By way of familiar example, instead of determining …

Autonomy In The Age Of Autonomous Vehicles, Michael Mattioli

Articles by Maurer Faculty

This essay describes intertwined policy challenges related to autonomous vehicle data. The policy goals of promoting privacy, safety, competition, and commerce are all so deeply intertwined, I conclude, that they must be understood and addressed together. This essay does not attempt to solve the problem. Instead, it presents a descriptive snapshot of the current state of play in the industry and closes by raising a set of questions. I hope these questions will prompt useful discussions among policy experts and the public.

There’S Nowhere To Hide: Artificial Intelligence And Privacy In The Fourth Industrial Revolution, Sarah Denton, Eleonore Pauwels, Yujia He, Walter G. Johnson

Patterson School of Diplomacy and International Commerce Faculty Publications

At its core, artificial intelligence (AI) optimizes data. Machine-learning algorithms, one component of AI, are trained using massive datasets curated by humans to predict various aspects of our daily lives. Such predictive intelligence could be a positive force amplified by continued decentralization of the technology. Or, ubiquitous cognition and surveillance could be a disruptive force amplified by the unregulated proliferation of AI technologies. Yet, though we will certainly see more and more AI systems being integrated into every facet of our infrastructures, homes, and bodies, the proliferation of AI technology isn’t the problem. A privacy-security quagmire arises from the interconnectivity …

Panel 1: Robotic Speech And The First Amendment, Bruce E. H. Johnson, Helen Norton, David Skover

Publications

Moderator: Professor Gregory Silverman.

Book discussed: Ronald L. Collins & David M. Skover, Robotica: Speech Rights and Artificial Intelligence (Cambridge Univ. Press 2018).

Is Tricking A Robot Hacking?, Ryan Calo, Ivan Evtimov, Earlence Fernandes, Tadayoshi Kohno, David O'Hair

Tech Policy Lab

The authors of this essay represent an interdisciplinary team of experts in machine learning, computer security, and law. Our aim is to introduce the law and policy community within and beyond academia to the ways adversarial machine learning (ML) alter the nature of hacking and with it the cybersecurity landscape. Using the Computer Fraud and Abuse Act of 1986—the paradigmatic federal anti-hacking law—as a case study, we mean to evidence the burgeoning disconnect between law and technical practice. And we hope to explain what is at stake should we fail to address the uncertainty that flows from the prospect that …

The Modern Trolley Problem: Ethical And Economically-Sound Liability Schemes For Autonomous Vehicles, Amar Kumar Moolayil

Journal of Law, Technology, & the Internet

The paper synthesizes modern scholarship in the fields of Artificial Intelligence law, Ethics, Corporate Liability, and Economics to develop potential liability schemes that the automotive and insurance industries may impose when autonomous vehicles eventually come to dominate the roadways. By addressing the issues of whom the autonomous vehicle’s AI protects and who bears liability in the event of an accident—two issues that this author believes are critical to the successful adoption of autonomous vehicle technology—the transition from human drivers to AI drivers will be less contentious. Because of the prescient nature of the topic, as well as a discussion of …

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.

Robotic Speakers And Human Listeners, Helen Norton

Publications

In their new book, Robotica, Ron Collins and David Skover assert that we protect speech not so much because of its value to speakers but instead because of its affirmative value to listeners. If we assume that the First Amendment is largely, if not entirely, about serving listeners’ interests—in other words, that it’s listeners all the way down—what would a listener-centered approach to robotic speech require? This short symposium essay briefly discusses the complicated and sometimes even dark side of robotic speech from a listener-centered perspective.

Bridges Ii: The Law--Stem Alliance & Next Generation Innovation, Harry Surden

Publications

Technological change recently has altered business models in the legal field, and these changes will continue to affect the practice of law itself. How can we, as educators, prepare law students to meet the challenges of new technology throughout their careers?

Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …

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 …

Manhattan_Project.Exe: A Nuclear Option For The Digital Age, David Laton

Catholic University Journal of Law and Technology

This article explores the possible implications and consequences arising from the use of an artificial intelligence construct as a weapon of mass destruction. The digital age has ushered in many technological advances, as well as certain dangers. Chief among these pitfalls is the lack of reliable security found in critical information technology systems. These security gaps can give cybercriminals unauthorized access to highly sensitive computer networks that control the very infrastructure of the United States. Cyberattacks are rising in both frequency and severity and the response by the U.S. has been ineffective. A cyber-weapon of mass destruction (CWMD) implementing an …

Artificial Intelligence Policy: A Primer And Roadmap, Ryan Calo

Articles

Talk of artificial intelligence is everywhere. People marvel at the capacity of machines to translate any language and master any game. Others condemn the use of secret algorithms to sentence criminal defendants or recoil at the prospect of machines gunning for blue, pink, and white-collar jobs. Some worry aloud that artificial intelligence will be humankind’s “final invention.” This essay, prepared in connection with UC Davis Law Review's 50th anniversary symposium, explains why AI is suddenly on everyone's mind and provides a roadmap to the major policy questions AI raises. The essay is designed to help policymakers, investors, technologists, scholars, and …

Siri-Ously 2.0: What Artificial Intelligence Reveals About The First Amendment, Toni M. Massaro, Helen Norton, Margot E. Kaminski

Publications

The First Amendment may protect speech by strong Artificial Intelligence (AI). In this Article, we support this provocative claim by expanding on earlier work, addressing significant concerns and challenges, and suggesting potential paths forward.

This is not a claim about the state of technology. Whether strong AI — as-yet-hypothetical machines that can actually think — will ever come to exist remains far from clear. It is instead a claim that discussing AI speech sheds light on key features of prevailing First Amendment doctrine and theory, including the surprising lack of humanness at its core.

Courts and commentators wrestling with free …

Nudging Robots: Innovative Solutions To Regulate Artificial Intelligence, Michael Guihot, Anne F. Matthew, Nicolas P. Suzor

Vanderbilt Journal of Entertainment & Technology Law

There is a pervading sense of unease that artificially intelligent machines will soon radically alter our lives in ways that are still unknown. Advances in artificial intelligence (AI) technology are developing at an extremely rapid rate as computational power continues to grow exponentially. Even if existential concerns about AI do not materialize, there are enough concrete examples of problems associated with current applications of AI to warrant concern about the level of control that exists over developments in this field. Some form of regulation is likely necessary to protect society from harm. However, advances in regulatory capacity have not kept …

Siri-Ously? Free Speech Rights And Artificial Intelligence, Toni M. Massaro, Helen Norton

Northwestern University Law Review

Computers with communicative artificial intelligence (AI) are pushing First Amendment theory and doctrine in profound and novel ways. They are becoming increasingly self-directed and corporal in ways that may one day make it difficult to call the communication ours versus theirs. This, in turn, invites questions about whether the First Amendment ever will (or ever should) cover AI speech or speakers even absent a locatable and accountable human creator. In this Article, we explain why current free speech theory and doctrine pose surprisingly few barriers to this counterintuitive result; their elasticity suggests that speaker humanness no longer may be …

Keeping Ai Legal, Amitai Etzioni, Oren Etzioni

Vanderbilt Journal of Entertainment & Technology Law

AI programs make numerous decisions on their own, lack transparency, and may change frequently. Hence, unassisted human agents, such as auditors, accountants, inspectors, and police, cannot ensure that AI-guided instruments will abide by the law. This Article suggests that human agents need the assistance of AI oversight programs that analyze and oversee operational AI programs. This Article asks whether operational AI programs should be programmed to enable human users to override them; without that, such a move would undermine the legal order. This Article also points out that AI operational programs provide high surveillance capacities and, therefore, are essential for …

The Scored Society: Due Process For Automated Predictions, Danielle K. Citron, Frank Pasquale

Faculty Scholarship

Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we are good credit risks, desirable employees, reliable tenants, valuable customers — or deadbeats, shirkers, menaces, and “wastes of time.” Crucial opportunities are on the line, including the ability to obtain loans, work, housing, and insurance. Though automated scoring is pervasive and consequential, it is also opaque and lacking oversight. In one area where regulation does prevail — credit — the law focuses on credit history, not the derivation of scores from data.

Procedural regularity is essential for those stigmatized by “artificially intelligent” scoring systems. The …

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 …

Law And Ethics For Autonomous Weapon Systems: Why A Ban Won't Work And How The Laws Of War Can, Kenneth Anderson, Matthew C. Waxman

Faculty Scholarship

Public debate is heating up over the future development of autonomous weapon systems. Some concerned critics portray that future, often invoking science-fiction imagery, as a plain choice between a world in which those systems are banned outright and a world of legal void and ethical collapse on the battlefield. Yet an outright ban on autonomous weapon systems, even if it could be made effective, trades whatever risks autonomous weapon systems might pose in war for the real, if less visible, risk of failing to develop forms of automation that might make the use of force more precise and less harmful …

Intelligent Agents: Authors, Makers, And Owners Of Computer-Generated Works In Canadian Copyright Law, Rex M. Shoyama

Canadian Journal of Law and Technology

The central objective of this article is to propose a clarification of copyright law as applied to works created by intelligent agents. In Part I, the concepts of artificial intelligence and intelligent agents are introduced. Part II identifies the challenges that are presented to the tests of originality and authorship in the application of copyright to works generated by intelligent agents. It is argued that works created by intelligent agents may meet the tests of originality and authorship. It is also argued that the con- cepts of ‘‘author’’, ‘‘owner’’, and ‘‘maker’’ are distinct from one another in Canadian copyright law. …