Computer Law Commons^™

Artificial Intellegence And Policing: First Questions, Elizabeth E. Joh

Seattle University Law Review

Artificial intelligence is playing an increasingly larger role in all sectors of society, including policing. Many police departments are already using artificial intelligence (AI) to help predict and identify suspicious persons and places.1 Increased computational power and oceans of data have given rise to inferences about violence and threats.2 AI will change policing just as it will healthcare, insurance, commerce, and transportation. But what questions should we ask about AI and policing?

Keynote Address, Ryan Calo

Seattle University Law Review

Transcript of the keynote address at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.” The keynote address is presented by Ryan Calo and discusses the current status of artificial intelligence learning, and how this current status is moving toward robotic singularity.

Panel 2: Accountability For The Actions Of Robots, Ryan Calo, Howard Jay Chizeck, Elizabeth Joh, Blake Hannaford

Seattle University Law Review

Transcript of the panel discussion at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law” discussing human control and Artificial Intellegence learning. The panel participants are Ryan Calo, Howard Jay Chizeck, Elizabeth Joh, and Blake Hannaford.

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.”

Virtual Ethics And The Creeper Act, Justin Tiehen

Seattle University Law Review

A legal and moral discussion of the development of child sex bots (CSB), childlike sex dolls, comparing society-at-large’s general squeamishness of the area, and attempts to regulate (for example, the CREEPER Act) with the prophylactic therapeutic benefits of these robots.

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

Seattle University Law Review

Transcript of the panel discussion at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.” The panel is moderated by Seattle University School of Law Professor Gregory Silverman, and discusses the forthcoming book Robotica, by David M. Skover and Ronald K. L. Collins. The panelists are Bruce E. H. Johnson, Helen Norton, and David M. Skover.

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.

Ethical Machines?, Ariela Tubert

Seattle University Law Review

This Article explores the possibility of having ethical artificial intelligence. It argues that we face a dilemma in trying to develop artificial intelligence that is ethical: either we have to be able to codify ethics as a set of rules or we have to value a machine’s ability to make ethical mistakes so that it can learn ethics like children do. Neither path seems very promising, though perhaps by thinking about the difficulties with each we may come to a better understanding of artificial intelligence and ourselves.

Revisiting Belligerent Reprisals In The Age Of Cyber?

Marquette Law Review

None.

The First Amendment Case For Public Access To Secret Algorithms Used In Criminal Trials, Vera Eidelman

Georgia State University Law Review

As this Article sets forth, once a computerized algorithm is used by the government, constitutional rights may attach. And, at the very least, those rights require that algorithms used by the government as evidence in criminal trials be made available—both to litigants and the public. Scholars have discussed how the government’s refusal to disclose such algorithms runs afoul of defendants’ constitutional rights, but few have considered the public’s interest in these algorithms—or the widespread impact that public disclosure and auditing could have on ensuring their quality.

This Article aims to add to that discussion by setting forth a theory of …

Deploying The Secret Police: The Use Of Algorithms In The Criminal Justice System, Jessica Gabel Cino

Georgia State University Law Review

Algorithms saturate our lives today; from curated song lists to recommending “friends” and news feeds, they factor into some of the most human aspects of decision-making, tapping into preferences based on an ever-growing amount of data. Regardless of whether the algorithm pertains to routing you around traffic jams or finding your next dinner, there is little regulation and even less transparency regarding just how these algorithms work. Paralleling this societal adoption, the criminal justice system now employs algorithms in some of the most important aspects of investigation and decision-making.

The lack of oversight is abundantly apparent in the criminal justice …

Curtailing Online Service Provider Immunity From Liability: An Advocacy For The Entension Of Roommates.Com, Corey Patton

Seattle University Law Review

Section 230 of the Communications Decency Act (CDA) was enacted following the controversial decision in Stratton Oakmont, Inc. v. Prodigy Servs. Co., where an interactive computer service provider was held liable for a libelous message posted by a user on one of its financial message boards. The court determined that the service provider was a “publisher” of the libelous message for the purposes of state law because it had engaged in screening and moderating of other objectionable posts on its message boards but failed to remove the libelous message in question. Because the service provider voluntarily self-policed some of the …

Emerging Technologies Challenging Current Legal Paradigms, W. Keith Robinson

Minnesota Journal of Law, Science & Technology

No abstract provided.

The Race Is On! Regulating Self-Driving Vehicles Before They Hit The Streets, Jack Liechtung

Brooklyn Journal of Corporate, Financial & Commercial Law

As the world braces itself for the unveiling of autonomous vehicles, the idea of regulation and oversight has gone largely undetected. Though some states have already begun enacting legislation ahead of the technology’s wide release, the regulatory landscape across the country is in disarray. It is imperative that both manufacturers and consumers be given some sort of uniform understanding as to how the automation is overseen throughout the manufacturing process and how liability will be levied in the case of inevitable mistakes on our nation’s roadways. This Note proposes that the National Highway Traffic Safety Administration be responsible for providing …

Securing The Internet Of Healthcare, Scott J. Shackelford, Michael Mattioli, Steve Myers, Austin Brady

Minnesota Journal of Law, Science & Technology

No abstract provided.

Governing Behind The Cloud: Is Transparency Too "Burdensome" In The Digital Age?, Sam Louwagie

Minnesota Journal of Law, Science & Technology

No abstract provided.

No Good Deed Goes Unpunished: The Duties Held By Malware Researchers, Penetration Testers, And "White Hat" Hackers, Jon Watkins

Minnesota Journal of Law, Science & Technology

No abstract provided.

Rewriting The "Book Of The Machine": Regulatory And Liability Issues For The Internet Of Things, Jane Kirtley, Scott Memmel

Minnesota Journal of Law, Science & Technology

No abstract provided.

Rise Of The Intelligent Information Brokers: Role Of Computational Law Applications In Administering The Dynamic Cybersecurity Threat Surface In Iot, Eran Kahana

Minnesota Journal of Law, Science & Technology

No abstract provided.

Out Of Thin Air: Trade Secrets, Cybersecurity, And The Wrongful Acquisition Tort, Sharon Sandeen

Minnesota Journal of Law, Science & Technology

No abstract provided.

Biotechnology's Great Divide: Strengthening The Relationship Between Patent Law And Bioethics In The Age Of Crispr-Cas9, Hannah M. Mosby

Minnesota Journal of Law, Science & Technology

No abstract provided.

Crashed Software: Assessing Product Liability For Software Defects In Automated Vehicles, Sunghyo Kim

Duke Law & Technology Review

Automated vehicles will not only redefine the role of drivers, but also present new challenges in assessing product liability. In light of the increased risks of software defects in automated vehicles, this Note will review the current legal and regulatory framework related to product liability and assess the challenges in addressing on-board software defects and cybersecurity breaches from both the consumer and manufacturer perspective. While manufacturers are expected to assume more responsibility for accidents as vehicles become fully automated, it can be difficult to determine the scope of liability regarding unexpected software defects. On the other hand, consumers face new …

The Court Must Play Its Interpretative Role: Defending The Defend Trade Secrets Act’S Extraterritorial Reach, Jada M. Colon

The University of Cincinnati Intellectual Property and Computer Law Journal

The exact reach of the Defend Trade Secrets Act’s extraterritoriality provision has yet to be interpreted by the courts. If United States securities, trademark, and antitrust law serves as any indication of what is to be expected, the Defend Trade Secrets Act may be subject to an inconsistent array of interpretation. When faced with interpreting the extraterritorial scope of the Defend Trade Secrets Act for the first time, the court must set a strong precedent by enacting a single, uniform effects test that will not falter when applied in different circumstances and by different circuits. Courts interpreting United States securities, …

How Machines Learn: Where Do Companies Get Data For Machine Learning And What Licenses Do They Need?, Rachel Wilka, Rachel Landy, Scott A. Mckinney

Washington Journal of Law, Technology & Arts

Machine learning services ingest customer data in order to provide refined, customized services. Machine learning algorithms are increasingly prominent in multiple sectors within the software-as-a-service industry including online advertising, health diagnostics, and travel. However, very little has been written on the rights a company utilizing machine learning needs to obtain in order to use customer data to improve its own products or services. Machine learning encompasses multiple types of data use and analysis, including (a) supervised machine learning algorithms, which take specific data provided in a tagged and classified format to deliver specific predictable output; and (b) unsupervised machine learning …

The Promise And Perils Of Algorithmic Lenders’ Use Of Big Data, Matthew Adam Bruckner

Chicago-Kent Law Review

Tens of millions of Americans lack access to traditional forms of credit and must rely on payday and pawn loans instead. “Algorithmic lending 2.0” promises to enable fintech companies to lend to those excluded from traditional forms of credit. Version 2.0 algorithmic lenders claim to use Big Data and machine learning to increase credit access by making better predictions about prospective borrowers’ creditworthiness and decreasing the cost of credit. Supporters also claim that algorithmic lending 2.0 removes human bias from the financial services sector. Detractors have cast doubt on both claims, arguing that there is scant evidence that algorithmic lending …

The Rise Of Automated Investment Advice: Can Robo-Advisors Rescue The Retail Market?, Benjamin P. Edwards

Chicago-Kent Law Review

Different types of financial advisers serve the massive and widely dispersed retail investment market. In a market riddled with conflicts of interests, many advisers exploit retail customers by pitching suboptimal products, leading to lower investment returns and lower overall growth—but also to greater profits for the financial advisers collecting kickback-style commissions. New financial technology firms, commonly known as Robo-Advisers, may disrupt this market and these exploitative practices. Still, these potentially disruptive automated investment advice firms face significant regulatory risks.

New Art For The People: Art Funds & Financial Technology, Brian L. Frye

Chicago-Kent Law Review

Fine art sales have reached record levels, with the global art market achieving annual sales of over $60 billion. However, the art market is extremely risky and the most lucrative investment opportunities are typically at the high end of the market. In recent years, financial industry professionals with an interest in the art world have increasingly formed art investment funds, intended to enable smaller investors to take advantage of the opportunity to invest in the art world and diversify their portfolios. Some art funds also allow art investors to borrow against certain assets. About 45 art investment funds currently exist, …

Regtech, Compliance And Technology Judgement Rule, Nizan Geslevich Packin

Chicago-Kent Law Review

This Article focuses on the rise of Financial Technology, which revolutionized consumer financial service products, and challenged policymakers with regulating the rapidly evolving financial industry. In particular, it explores Regulatory Technology, also known as RegTech, which is the finance industry’s use of technology, especially information technology, in the context of regulatory monitoring, reporting and compliance. RegTech is designed to solve industry needs for a more effective and efficient way to automate corporate governance and compliance processes. Not only has FinTech proven to be a vital revenue source, especially in connection with lending or money transmission services, but it also helps …

Fintech's Double Edges, Christopher G. Bradley

Chicago-Kent Law Review

This symposium essay examines the double-edged nature of financial technologies in financial transactions, especially transactions involving consumers. There are both benefits and risks—often undiscovered or hidden at first—in each new round of financial technologies. A FinTech tool may benefit consumers and then, applied later or in a different context, threaten consumer interests; a tool that harms consumer interests may then lead to development of a tool that favors them. This double-edged nature is an important but unappreciated structural feature of financial technologies. From the perspective of consumer protection, then, FinTech can neither be fully embraced as friend nor restricted as …

Computer As Confidant: Digital Investment Advice And The Fiduciary Standard, Nicole G. Iannarone

Chicago-Kent Law Review

Digital investment advisers are the fastest growing segment of financial technology (fintech) and are disrupting traditional investment advisory delivery models. The computer-led investment advisory service model may be growing particularly quickly due to a confluence of social and political factors. Politicians and regulators have increasingly focused on the standards of care applicable to investment advice providers. Fewer Americans are ready for retirement and many lack access to affordable investment advice. At the same time, comfort with digital platforms have increased, with some preferring electronic interaction over human interaction. Claiming that they can democratize retirement service by pro- viding advice meeting …