Computer Law Commons^™

Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman

Publications

This article asks, what is it like for novice researchers to research real-world legal problems using four platforms: Bloomberg Law, Fastcase, Lexis Advance, and Westlaw? The study findings produced some surprises, as well as some clear implications for teaching legal research.

Onlife Harms: Uber And Sexual Violence, Amanda Turnbull

Canadian Journal of Law and Technology

Uber markets itself as a technology company that is managed primarily by ML algorithms with the support of human engineers. Yet, in its 2019 Report, the role that its technology played in relation to sexual violence is, for all intents and purposes, absent. Likewise, solutions dealing specifically with the role of technology in facilitating gender-based violence are also missing from the series of initiatives in which Uber has invested that are aimed at preventing sexual violence. Uber was not sufficiently rigorous in defining the problem it was trying to solve. It was a missed opportunity that has resulted in continued …

Bringing Section 8 Home: An Argument For Recognizing A Reasonable Expectation Of Privacy In Metadata Collected From Smart Home Devices, Ana Qarri

Canadian Journal of Law and Technology

Internet of Things devices (also known as smart home devices) are a fast-growing trend in consumer home electronics. The information collected from these devices could prove very useful to law enforcement investigations. These individual pieces of metadata — the collection of which might appear harmless on its face — can be highly revealing when combined with other metadata or information otherwise available to law enforcement. This article builds an argument in favour of recognizing a reasonable expectation of privacy in metadata collected from smart home devices under section 8 of the Canadian Charter of Rights and Freedoms. This article presents …

Let The Machines Do The Dirty Work: Social Media, Machine Learning Technology And The Iteration Of Racialized Surveillance, Subhah Wadhawan

Canadian Journal of Law and Technology

Post 9/11, where the current social and cultural temperature has constructed Islam as interchangeable with terrorism, digital intermediaries have responded with increased censorship of speech related to, emerging from, or advocating Islamic ideology. At the heart of this paper is the argument that digital intermediaries have relied on the opaqueness of machine learning technology (‘‘MLT”) to realize racialized surveillance, whereby speech concerning Islamic content has been disproportionally censored. This paper maps out how inherent biases concerning the ideology of Islam have been interwoven into the coding and machine learning used by the major tech giants. As a result of the …

Using Zero-Knowledge To Reconcile Law Enforcement Secrecy And Fair Trial Rights In Criminal Cases, Dor Bitan, Ron Canetti, Shafi Goldwasser, Rebecca Wexler

Faculty Scholarship

The use of hidden investigative software to collect evidence of crimes presents courts with a recurring dilemma: On the one hand, there is often clear public interest in keeping the software hidden to preserve its effectiveness in fighting crimes. On the other hand, criminal defendants have rights to inspect and challenge the full evidence against them, including law enforcement's investigative methods. In fact, in the U.S. adversarial legal system, the defendant's rights to scrutinize the government's tools are crucial to the truth-seeking process and to keeping law enforcement conduct lawful and constitutional. Presently, courts balance these conflicting interests on a …

Adversarial Scrutiny Of Evidentiary Statistical Software, Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler

Faculty Scholarship

The U.S. criminal legal system increasingly relies on software output to convict and incarcerate people. In a large number of cases each year, the government makes these consequential decisions based on evidence from statistical software — such as probabilistic genotyping, environmental audio detection and toolmark analysis tools — that the defense counsel cannot fully cross-examine or scrutinize. This undermines the commitments of the adversarial criminal legal system, which relies on the defense’s ability to probe and test the prosecution’s case to safeguard individual rights.

Responding to this need to adversarially scrutinize output from such software, we propose robust adversarial testing …

Modeling Through, Ryan Calo

Articles

Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation, Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael L. Johnstone, Wencheng Yang

Annual ADFSL Conference on Digital Forensics, Security and Law

Network intrusion is a well-studied area of cyber security. Current machine learning-based network intrusion detection systems (NIDSs) monitor network data and the patterns within those data but at the cost of presenting significant issues in terms of privacy violations which may threaten end-user privacy. Therefore, to mitigate risk and preserve a balance between security and privacy, it is imperative to protect user privacy with respect to intrusion data. Moreover, cost is a driver of a machine learning-based NIDS because such systems are increasingly being deployed on resource-limited edge devices. To solve these issues, in this paper we propose a NIDS …

Human-Controlled Fuzzing With Afl, Maxim Grishin, Igor Korkin, Phd

Annual ADFSL Conference on Digital Forensics, Security and Law

Fuzzing techniques are applied to reveal different types of bugs and vulnerabilities. American Fuzzy Lop (AFL) is a free most popular software fuzzer used by many other fuzzing frameworks. AFL supports autonomous mode of operation that uses the previous step output into the next step, as a result fuzzer spends a lot of time analyzing minor code sections. By making fuzzing process more focused and human controlled security expert can save time and find more bugs in less time. We designed a new module that can fuzz only the specified functions. As a result, the chosen ones will be inspected …

The Amorphous Nature Of Hackers: An Exploratory Study, Kento Yasuhara, Daniel Walnycky, Ibrahim Baggili, Ahmed Alhishwan

Annual ADFSL Conference on Digital Forensics, Security and Law

In this work, we aim to better understand outsider perspectives of the hacker community through a series of situation based survey questions. By doing this, we hope to gain insight into the overall reputation of hackers from participants in a wide range of technical and non-technical backgrounds. This is important to digital forensics since convicted hackers will be tried by people, each with their own perception of who hackers are. Do cyber crimes and national security issues negatively affect people’s perceptions of hackers? Does hacktivism and information warfare positively affect people’s perception of hackers? Do individual personality factors affect one’s …

Establishing A Legitimate Indonesia’S Government Electronic Surveillance Regulation: A Comparison With The U.S. Legal Practices, Citra Yuda Nur Fatihah

Indonesia Law Review

Cybersecurity and privacy have now become a matter of increasing concern for citizens, the private sector, and the Indonesian government. The government is currently struggling to combat cyberattacks and data breaches. Indonesia is, in fact, in the early stages of developing a national cybersecurity strategy. The legal framework for cybersecurity in Indonesia is still weak. The one and only legal basis for regulating cybersecurity, privacy, and security, in Indonesia so far is the Electronic Information and Transactions Law No. 11/2008 and its revised version Law No.19/2016. Furthermore, the government through the Indonesian Ministry of Communication and Information has just issued …

Stifling Dissent Or Enforcing Rules? The State Of Speech Rights In Online Forums, Noah Olson

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

“Storytime: We’Re Being Sued” – Copyright Infringement And Fair Use In The Digital Era, Mikayla Spencer

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

The Importance Of Being Earnestly Innovative: The Increasing Role Of Intellectual Property Law In The Global Economy, Inma Sumaita

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Intellectual Property & National Security, James Morrison

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

The Patentability Of Antibodies For Use In Medications After Amgen V. Sanofi, Kaitlyn Taylor

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Copyright Claims And Constitutional Games: The Constitutionality Of The Copyright Claims Board Following The Supreme Court Ruling In Arthrex, Laura Callihan

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Performance Assessment Of Some Phishing Predictive Models Based On Minimal Feature Corpus, Orunsolu Abdul Abiodun, Sodiya A.S, Kareem S.O, Oladimeji G. B Mr.

Journal of Digital Forensics, Security and Law

Phishing is currently one of the severest cybersecurity challenges facing the emerging online community. With damages running into millions of dollars in financial and brand losses, the sad tale of phishing activities continues unabated. This led to an arms race between the con artists and online security community which demand a constant investigation to win the cyberwar. In this paper, a new approach to phishing is investigated based on the concept of minimal feature set on some selected remarkable machine learning algorithms. The goal of this is to select and determine the most efficient machine learning methodology without undue high …

Uncertain Terms, Leah R. Fowler, Jim Hawkins, Jessica L. Roberts

Notre Dame Law Review

Health apps collect massive amounts of sensitive consumer data, including information about users’ reproductive lives, mental health, and genetics. As a result, consumers in this industry may shop for privacy terms when they select a product. Yet our research reveals that many digital health tech companies reserve the right to unilaterally amend their terms of service and their privacy policies. This ability to make one-sided changes undermines the market for privacy, leaving users vulnerable. Unfortunately, the current law generally tolerates unilateral amendments, despite fairness and efficiency concerns. We therefore propose legislative, regulatory, and judicial solutions to better protect consumers of …

Cracking The Code: How To Prevent Copyright Termination From Upending The Proprietary And Open Source Software Markets, Grant Emrich

Fordham Law Review

Computer software is protected by copyright law through its underlying code, which courts have interpreted as constituting a “literary work” pursuant to the Copyright Act. Prior to including software as copyrightable subject matter, Congress established a termination right which grants original authors the ability to reclaim their copyright thirty-five years after they have transferred it. Termination was intended to benefit up-and-coming authors who faced an inherent disadvantage in the market when selling the rights to their works. In the near future, many software works will reach the thirty-five-year threshold, thus presenting courts with a novel application of termination to computer …

Ai In Adjudication And Administration, Cary Coglianese, Lavi M. Ben-Dor

Brooklyn Law Review

The use of artificial intelligence has expanded rapidly in recent years across many aspects of the economy. For federal, state, and local governments in the United States, interest in artificial intelligence has manifested in the use of a series of digital tools, including the occasional deployment of machine learning, to aid in the performance of a variety of governmental functions. In this Article, we canvass the current uses of such digital tools and machine-learning technologies by the judiciary and administrative agencies in the United States. Although we have yet to see fully automated decision-making find its way into either adjudication …

From The Golden Gate To London: Bridging The Gap Between Data Privacy And The Right Of Publicity, Kristin Kuraishi

Brooklyn Journal of International Law

Currently, there is no global standard or recognition for the right of publicity. Even within the United States, the recognition, scope, and protections vary by state. As the world becomes increasingly reliant on social media for news, information, communication, and recommendations, micro-influencers and non-celebrities require a way to control their developed and curated name, image, and likeness from unauthorized commercial uses by others. Advertising is occurring more frequently online, and brands recognize the power that micro-influencers have on commerce. Some countries, like the United Kingdom, do not recognize the right of publicity, potentially leaving many individuals without recourse for the …

Digital Privacy Rights And Cloud Act Agreements, Tim Cochrane

Brooklyn Journal of International Law

The United States (US) and United Kingdom (UK) will soon bring into force a new international law enforcement data sharing ‘CLOUD Act agreement’ (US-UK Agreement), the first of its kind under the Clarifying Lawful Overseas Use of Data Act 2018 (CLOUD Act). These agreements enable law enforcement in one state to directly request data from service providers based in the other state. They respond to long-standing concerns with the main mechanism for obtaining overseas data, mutual legal assistance (MLA). The US and UK claim the US-UK Agreement will significantly speed up data access relative to MLA while “respecting privacy and …

Prosecuting The Phone Scammer When Extradition Fails And Concurrent Jurisdiction Exists, Michelle Lepkofker

Brooklyn Journal of International Law

Advancements in technology allow people to place phone calls half a world away via the internet. This technology has made it easier and cheaper for consumers to communicate, but it has also made it easier for scammers to reach more unsuspecting victims. In 2020, TrueCaller, an app designed to block scam phone calls, successfully blocked, and identified 31.3 billion spam calls in 20 countries. In the same year, Americans alone lost a total of USD $ 29.8 billion to scam calls. This Note argues that phone scams continue to be lucrative, in part, because criminal prosecutions of transnational crimes are …

The Technologization Of Insurance: An Empirical Analysis Of Big Data And Artificial Intelligence’S Impact On Cybersecurity And Privacy, Shauhin A. Talesh, Bryan Cunningham

Utah Law Review

This Article engages one of the biggest issues debated among privacy and technology scholars by offering an empirical examination of how big data and emerging technologies influence society. Although scholars explore the ways that code, technology, and information regulate society, existing research primarily focuses on the theoretical and normative challenges of big data and emerging technologies. To our knowledge, there has been very little empirical analysis of precisely how big data and technology influence society. This is not due to a lack of interest but rather a lack of disclosure by data providers and corporations that collect and use these …

Don't Bite The Bait: Phishing Attack For Internet Banking (E-Banking), Ilker Kara

Journal of Digital Forensics, Security and Law

Phishing attacks are based on obtaining desired information from users quickly and easily with the help of misdirecting, panicking, curiosity, or excitement. Most of the phishing web sites are designed on internet banking(e-banking) and the attackers can acquire financial information of misled users with the tactics and discourses they develop. Despite the increase of prevention techniques against phishing attacks day by day, an effective solution could not be found for this issue due to the human factor. Because of this reason, real phishing attack studies are essential to study and analyze the attackers’ attack techniques and strategies. This study focused …

Cacophony Or Concerto?: Analyzing The Applicability Of The Wiretap Act’S Party Exception For Duplicate Get Requests, David Koenig

Fordham Law Review

The Electronic Communications Privacy Act (“Wiretap Act”) prohibits the intentional interception of an electronic communication. However, “parties to a communication” can intercept a communication without Wiretap Act liability. Parties include the intended recipients of a communication. When internet users navigate the internet, they communicate with websites using GET requests. The users’ GET requests call out to websites and websites respond by providing the websites’ content to the users. During this process, websites receive user data. This data can include information about the website visited, the search terms used to locate the website, and referral data identifying the last web page …

Building Legal Datasets, Jerrold Soh

Research Collection Yong Pung How School Of Law

Data-centric AI calls for better, not just bigger, datasets. As data protection laws with extra-territorial reach proliferate worldwide, ensuring datasets are legal is an increasingly crucial yet overlooked component of “better”. To help dataset builders become more willing and able to navigate this complex legal space, this paper reviews key legal obligations surrounding ML datasets, examines the practical impact of data laws on ML pipelines, and offers a framework for building legal datasets.

The Ratio Method: Addressing Complex Tort Liability In The Fourth Industrial Revolution, Harrison C. Margolin, Grant H. Frazier

St. Mary's Law Journal

Emerging technologies of the Fourth Industrial Revolution show fundamental promise for improving productivity and quality of life, though their misuse may also cause significant social disruption. For example, while artificial intelligence will be used to accelerate society’s processes, it may also displace millions of workers and arm cybercriminals with increasingly powerful hacking capabilities. Similarly, human gene editing shows promise for curing numerous diseases, but also raises significant concerns about adverse health consequences related to the corruption of human and pathogenic genomes.

In most instances, only specialists understand the growing intricacies of these novel technologies. As the complexity and speed of …

Market Power And Switching Costs: An Empirical Study Of Online Networking Market, Shin-Ru Cheng

University of Cincinnati Law Review

In recent years, states have launched several antitrust investigations targeting digital platforms. A major difficulty in these investigations is demonstrating the extent of a digital platform’s market power. Market power is defined as the control of the output or the price without the loss of business to competitors. As will be explored in this Article, market power is a critical component in an antitrust analysis. On several occasions, courts have adopted the switching costs approach in their analysis of market power. According to this approach, market power may be inferred when the costs of switching from one supplier to another …