Computer Law Commons^™

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 …

Robots Welcome? Ethical And Legal Considerations For Web Crawling And Scraping, Zachary Gold, Mark Latonero

Washington Journal of Law, Technology & Arts

Web crawlers are widely used software programs designed to automatically search the online universe to find and collect information. The data that crawlers provide help make sense of the vast and often chaotic nature of the Web. Crawlers find websites and content that power search engines and online marketplaces. As people and organizations put an ever-increasing amount of information online, tech companies and researchers deploy more advanced algorithms that feed on that data. Even governments and law enforcement now use crawlers to carry out their missions. Despite the ubiquity of crawlers, their use is ambiguously regulated largely by online social …

Preface

Journal of Digital Forensics, Security and Law

No abstract provided.

Hierarchical Bloom Filter Trees For Approximate Matching, David Lillis, Frank Breitinger, Mark Scanlon

Journal of Digital Forensics, Security and Law

Bytewise approximate matching algorithms have in recent years shown significant promise in detecting files that are similar at the byte level. This is very useful for digital forensic investigators, who are regularly faced with the problem of searching through a seized device for pertinent data. A common scenario is where an investigator is in possession of a collection of "known-illegal" files (e.g. a collection of child abuse material) and wishes to find whether copies of these are stored on the seized device. Approximate matching addresses shortcomings in traditional hashing, which can only find identical files, by also being able to …

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Testing Memory Forensics Tools For The Macintosh Os X Operating System, Charles B. Leopard, Neil C. Rowe, Michael R. Mccarrin

Journal of Digital Forensics, Security and Law

Memory acquisition is essential to defeat anti-forensic operating-system features and investigate cyberattacks that leave little or no evidence in secondary storage. The forensic community has developed tools to acquire physical memory from Apple’s Macintosh computers, but they have not much been tested. This work tested three major OS X memory-acquisition tools. Although the tools could capture system memory accurately, the open-source tool OSXPmem appeared advantageous in size, reliability, and support for memory configurations and versions of the OS X operating system.

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Cover

Journal of Digital Forensics, Security and Law

No abstract provided.

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

Subscription Information

Journal of Digital Forensics, Security and Law

No abstract provided.

Drone Forensic Analysis Using Open Source Tools, M A Hannan Bin Azhar, Thomas Edward Allen Barton, Tasmina Islam

Journal of Digital Forensics, Security and Law

Carrying capabilities of drones and their easy accessibility to public have led to an increase in crimes committed using drones in recent years. For this reason, the need for forensic analysis of drones captured from the crime scenes and the devices used for these drones is also paramount. This paper presents the extraction and identification of important artefacts from the recorded flight data as well as the associated mobile devices using open source tools and some basic scripts developed to aid the analysis of two popular drone systems- the DJI Phantom 3 Professional and Parrot AR. Drone 2.0. Although different …

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 …

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.

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 …

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: Antidote To Rent-Seeking?, Jeremy Kidd J.D., Ph.D

Chicago-Kent Law Review

Innovations in financial technology, or Fintech, has been ongoing for decades but has recently begun to accelerate. Some observers have argued that it will soon begin to outstrip the ability of regulators to keep pace. If those predictions are accurate, what would the world look like with a financial sector that cannot be effectively regulated? One possibility—drawn from public choice economics—is that rent-seeking will be inhibited or eliminated. Rent-seeking is the distortion of law and regulation for the benefit of special interests, who expend resources to guarantee those distortions in their favor. Rent-seeking is inefficient and inhibits growth and innovation, …

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, …

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 …

Fighting Technology With Technology: Taking Aim At Electronic Sales Suppression, Richard Thompson Ainsworth, Robert Chicoine

Faculty Scholarship

Electronic sales suppression (ESS) is a fraud that has been a (prominent) feature of the North American retail business since at least 1996. The first EES case in the US dates from 1981. ESS is a global problem. Depending on the jurisdiction, and the research study consulted, ESS is estimated to be present in 34% (of Canadian), 50% (of German – two studies), and 70% (of Swedish and Slovenian) businesses. It may be the case today, that “you cannot leave home without” encountering (or participating in) ESS.

The most common types of sales suppression technology are Zappers and Phantomware programming. …

Regulating Data As Property: A New Construct For Moving Forward, Jeffrey Ritter, Anna Mayer

Duke Law & Technology Review

The global community urgently needs precise, clear rules that define ownership of data and express the attendant rights to license, transfer, use, modify, and destroy digital information assets. In response, this article proposes a new approach for regulating data as an entirely new class of property. Recently, European and Asian public officials and industries have called for data ownership principles to be developed, above and beyond current privacy and data protection laws. In addition, official policy guidances and legal proposals have been published that offer to accelerate realization of a property rights structure for digital information. But how can ownership …

Tax Compliance In A Decentralizing Economy, Manoj Viswanathan

Georgia State University Law Review

Tax compliance in the United States has long relied on information from centralized intermediaries—the financial institutions,employers, and brokers that help ensure income is reported and taxes are paid. Yet while the IRS remains tied to these centralized entities,consumers and businesses are not. New technologies, such as sharing economy platforms (companies such as Airbnb, Uber, and Instacart)and the blockchain (the platform on which various cryptocurrencies are based) are providing new, decentralized options for exchanging goods and services.

Without legislative and agency intervention, these technologies pose a critical threat to the reporting system underlying domestic and international tax compliance. Until now, legal …

Use Of House Arrest In The Context Of The Respecting The Constitutional Rights Of An Individual In Russia, Svetlana Afanasieva 2365999, Irina Kilina

Journal of Digital Forensics, Security and Law

The authors analyze the selection of preventive measures in the form of house arrest in Russian criminal procedures on the basis of universal and European standards of guaranteeing respect for individual rights. The article states that the application of preventive measures significantly restricts the right to protect the dignity of the individual, the right to freedom and personal inviolability, the right to free movement, choose the place of residence. The authors argue for the alternative method of applying the house arrest. as a form of prevention This preventive measure, unlike detention does not provide for the isolation of a person …

Back Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Front Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Contents, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Hacking The Internet Of Things: Vulnerabilities, Dangers, And Legal Responses, Sara Sun Beale, Peter Berris

Duke Law & Technology Review

The Internet of Things (IoT) is here and growing rapidly as consumers eagerly adopt internet-enabled devices for their utility, features, and convenience. But this dramatic expansion also exacerbates two underlying dangers in the IoT. First, hackers in the IoT may attempt to gain control of internet-enabled devices, causing negative consequences in the physical world. Given that objects with internet connectivity range from household appliances and automobiles to major infrastructure components, this danger is potentially severe. Indeed, in the last few years, hackers have gained control of cars, trains, and dams, and some experts think that even commercial airplanes could be …

Speech V. Speakers, Thomas E. Kadri

Popular Media

Twitter's new rules about extremist speech blur the lines between people and words.

The Legal Fate Of Internet Ad-Blocking, Russell A. Miller

Scholarly Articles

Ad-blocking services allow individual users to avoid the obtrusive advertising that both clutters and finances most Internet publishing. Ad-blocking's immense - and growing - popularity suggests the depth of Internet users' frustration with Internet advertising. But its potential to disrupt publishers' traditional Internet revenue model makes ad-blocking one of the most significant recent Internet phenomena. Unsurprisingly, publishers are not inclined to accept ad-blocking without a legal fight. While publishers are threatening suits in the United States, the issues presented by ad-blocking have been extensively litigated in German courts where ad-blocking consistently has triumphed over claims that it represents a form …

Unbundling Employment Flexible Benefits For The Gig Economy, Seth C. Oranburg

Law Faculty Scholarship

Federal labor law requires employers to give employees a rigid bundle of benefits, including the right to unionize, unemployment insurance, worker’s compensation insurance, health insurance, family medical leave, and more. These benefits are not free—benefits cost about one-third of wages—and someone must pay for them. Which of these benefits are worth their cost? This Article takes a theoretical approach to that problem and proposes a flexible benefits solution.

Labor law developed under a traditional model of work: long-term employees depended on a single employer to engage in goods-producing work. Few people work that way today. Instead, modern workers are increasingly …