Computer Law Commons^™

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

A Forensic Enabled Data Provenance Model For Public Cloud, Shariful Haque, Travis Atkison

Journal of Digital Forensics, Security and Law

Cloud computing is a newly emerging technology where storage, computation and services are extensively shared among a large number of users through virtualization and distributed computing. This technology makes the process of detecting the physical location or ownership of a particular piece of data even more complicated. As a result, improvements in data provenance techniques became necessary. Provenance refers to the record describing the origin and other historical information about a piece of data. An advanced data provenance system will give forensic investigators a transparent idea about the data's lineage, and help to resolve disputes over controversial pieces of data …

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

Bazaar Transnational Drafting: An Analysis Of The Gnu Public License Version 3 Revision Process, Christopher M. Dileo

San Diego International Law Journal

This Article will step through the drafting process and compare bazaar and cathedral modes of drafting to determine if a bazaar mode can efficiently produce a legal instrument that crosses legal regimes. As the title suggests, the bazaar process analysis case will be the GNU General Public License version 3 (the GPLv3) Revision Process. A comparison of the advantages and disadvantages of the bazaar mode of drafting to the cathedral mode of drafting will hopefully demonstrate the overall value of a transnational bazaar process like the GPLv3 Revision Process.

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.

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.

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.

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.

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.

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?

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.

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.”

Revisiting Belligerent Reprisals In The Age Of Cyber?

Marquette Law Review

None.

Control On Blockchain Network, Aleksei Gudkov

Nova Law Review

No abstract provided.

Nova Law Review Full Issue Volume 42, Issue 3

Nova Law Review

No abstract provided.

Topic Modeling The President: Conventional And Computational Methods, J.B. Ruhl, John Nay, Jonathan Gilligan

Vanderbilt Law School Faculty Publications

Legal and policy scholars modeling direct actions into substantive topic classifications thus far have not employed computational methods. To compare the results of their conventional modeling methods with the computational method, we generated computational topic models of all direct actions over time periods other scholars have studied using conventional methods, and did the same for a case study of environmental-policy direct actions. Our computational model of all direct actions closely matched one of the two comprehensive empirical models developed using conventional methods. By contrast, our environmental-case-study model differed markedly from the only empirical topic model of environmental-policy direct actions using …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Cover

Journal of Digital Forensics, Security and Law

No abstract provided.

Publication Information

Journal of Digital Forensics, Security and Law

No abstract provided.

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

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 …

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …

Annual Report, 2018, University Of Washington School Of Law

Tech Policy Lab

The Tech Policy Lab at the University of Washington has become an indispensable source for tech policy research, education, and local, national, and international thought leadership. The Lab has worked directly with policymakers, published research and guides on emerging technologies, and provided opportunities for the public to learn from experts.

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 …

When Artificial Intelligence Systems Produce Inventions: An Alternative Model For Patent Law At The 3a Era, Shlomit Yanisky Ravid, Xiaoqiong (Jackie) Liu

Cardozo Law Review

Currently, robots, Artificial Intelligence, and machine learning systems (hereinafter referred to collectively as AI or AI systems) can create inventions, which, had they been created by humans, would be eligible for patent protection. This Article addresses the patentability of these inventions created by AI systems. We argue that traditional patent law has become outdated, inapplicable, and irrelevant with respect to inventions created by AI systems. We call on policy makers to rethink current patent law governing AI systems and replace it with tools more applicable to the new (3A) era of advanced, automated, and autonomous AI systems. Our argument is …

Prioritizing Privacy In The Courts And Beyond, Babette Boliek

Cornell Law Review

Big data has affected American life and business in a variety of ways—inspiring both technological development and industrial change. The legal protections for a person’s right to his or her own personal information, however, have not matched the growth in the collection and aggregation of data. These legal shortcomings are exacerbated when third party privacy interests are at stake in litigation. Judicial orders to compel sensitive data are expressly permitted even under the few privacy statutes that may limit data transfers. Historically, the Federal Rules of Civil Procedure favor generous disclosure of information. But as litigation becomes more technical and …

Privacy Regulation In The Age Of Biometrics That Deal With A New World Order Of Information, Michael Monajemi

University of Miami International and Comparative Law Review

No abstract provided.

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 …