Computer Law Commons^™

Facing Up To The Risks Of Automated Facial-Recognition Technologies In Indian Law Enforcement, Ameen Jauhar

Indian Journal of Law and Technology

Within the larger discourse of risk mitigation of emerging technologies, the ever-expanding deployment of automated facial recognition technology (‘AFRT’) has garnered much skepticism. In India too, there has been a reported rise of states and law enforcement officials enthusiastically resorting to the use of AFRT.

The author will first delve into some of the controversial risks associated with AFRT, analysing them through the lens of Article 21 and the principle of due process under the Indian Constitution. The paper will then identify some of the regulatory solutions that are currently part of the discourse on minimising risks of AFRT and …

Mitigating Algorithmic Bias: Strategies For Addressing Discrimination In Data, Sonia Gipson Rankin

Faculty Scholarship

This article examines the pervasive issue of algorithmic bias, particularly within large language models (LLMs) and the legal system. It argues that unlike simple programming bugs, these biases are deeply ingrained in the design and training data of artificial intelligence (AI) systems. By understanding the historical roots of bias and its realworld consequence across various sectors, we can develop effective strategies to mitigate its impact and ensure AI serves as a tool for progress. Weaving together historical insights, case studies, and forward-looking recommendations, the article aims to equip legal professionals with the knowledge and tools necessary to lead the charge …

Taxation Of Information And The Data Revolution, Yariv Brauner

UF Law Faculty Publications

Existing and universal income tax rules are inherently incompatible with an economy in which information-based transactions play a significant role. This Article contends that income taxation is incapable of taxing information effectively. It goes on to argue that this incapability currently necessitates reform, and it offers three viable paths to such reform: consumption taxation, data taxes, and formulary taxation. The Article concludes that formulary taxation is currently the most desirable and plausible path to effective reform, owing to its promise to best stabilize and maintain the legitimacy of the international tax regime.

Ks Pop Celebrating Three Years Of Tech-Driven Justice For All, Ayyoub Ajmi

Faculty Works

This article explores the development and impact of the Kansas Protection Order Portal (KS POP), highlighting the vital role of law librarians in the portal's design and implementation. The article showcases how KS POP has streamlined the legal process for domestic violence, sexual assault, and human trafficking victims in Kansas, marking a significant advancement in accessible legal support and serving as a model for future innovations in the justice system.

"The Law Doesn't Work Like A Computer": Exploring Software Licensing Issues Faced By Legal Practitioners, Nathan Wintersgill, Trevor Stalnaker, Laura A. Heymann, Oscar Chaparro, Denys Poshyvanyk

Faculty Publications

Most modern software products incorporate open source components, which requires compliance with each component’s licenses. As noncompliance can lead to significant repercussions, organizations often seek advice from legal practitioners to maintain license compliance, address licensing issues, and manage the risks of noncompliance. While legal practitioners play a critical role in the process, little is known in the software engineering community about their experiences within the open source license compliance ecosystem. To fill this knowledge gap, a joint team of software engineering and legal researchers designed and conducted a survey with 30 legal practitioners and related occupations and then held 16 …

Pelindungan Data Pribadi Pada Layanan Pendanaan Berbasis Teknologi Informasi Pasca Undang-Undang Nomor 27 Tahun 2022 Dan Undang-Undang Nomor 4 Tahun 2023, Gita Theresa, Henny Marlyna

Jurnal Hukum & Pembangunan

Abstract

Information Technology-Based Crowdfunding Services (LPBBTI) continue to encounter challenges related to legal protections, such as breaches of privacy and the misuse of personal data belonging to consumers and the public. This paper analyzes the implementation of personal data protection through LPBBTI operational compliance, the drafting of privacy policies and LPBBTI agreements, as well as the role of authorities in overseeing LPBBTI operators in implementing personal data protection following the enactment of Law No. 27 of 2022 (UU PDP) and Law No. 4 of 2023 (UU P2SK). This study aims to provide information and input on the implementation of consumer …

Assessing Smart Nation Singapore As An International Model For Ai Responsibility, Philip L. Frana

International Journal on Responsibility

While AI and other smart technologies greatly contribute to material aspects of well-being, there are concerns that they threaten quality of life in Singapore. Smart technologies and digital governance have freed up labor for activities where human empathy and understanding are unique and indispensable, but also threaten to undermine human dignity and accountability. This paper undertakes a comprehensive assessment of Singapore as an international model for AI responsibility from the perspective of the history and philosophy of technological governance. It examines the evolution of regulatory frameworks, ethical considerations, and key legal documents and social initiatives shaping the nation’s approach to …

The Need For An International Ai Research Initiative: How To Create And Sustain A Virtuous Research-Regulation Cycle To Govern Ai, Kevin Frazier

Washington Journal of Law, Technology & Arts

This paper explains the need for an international AI research initiative. The current focus of lawmakers at the subnational, national, and international level on regulation over research has created an imbalance, neglecting the critical role of continuous, informed research in developing laws that keep pace with rapid technological advancements in AI.

The proposed international AI research initiative would serve as a central hub for comprehensive AI risk analysis, modeled on successful precedents like CERN and the IPCC. CERN exemplifies a collaborative research environment with pooled resources from member states, leading to significant advancements in particle physics. Similarly, the IPCC has …

Google Searching For The Truth: Examining The Admissibility Of Internet Search History, Chisup Kim

Washington Journal of Law, Technology & Arts

The internet has become more ubiquitously available than ever before, with search engines serving as the portals to an unparalleled amount of information. As a byproduct of this phenomenon, a vast amount of internet search history has also begun to enter legal proceedings as evidence. The most intimate questions that defendants have asked their search engines have begun to be examined under the scope of the Federal Rules of Evidence or a state equivalent. This Comment examines the admissibility of internet search history and provides a general legal framework based on the Federal Rules of Evidence. Drawing upon six cases, …

Everybody Wants To Rule The World: Central Bank Digital Currencies In The Era Of Decoupling The World’S Two Largest Economies, James M. Cooper

Washington Journal of Law, Technology & Arts

Some 130 central banks around the world are experimenting with various levels of a central bank digital currency (“CBDC”), a digitized form of a sovereign-backed, national currency that is a liability of that country’s central bank. Unlike fiat currency, CBDCs are trackable and potentially subject to interference and even freezing by government authorities. CBDCs will affect citizens’ control over commerce, payments, and savings, and impact their privacy rights. The Chinese government has piloted, refined, and rolled out its own CBDC called the Digital Currency/Electronic Payment initiative (“DC/EP”), also known as the digital yuan or e-CNY. The Chinese government is far …

When Ai Remembers Too Much: Reinventing The Right To Be Forgotten For The Generative Age, Cheng-Chi Chang

Washington Journal of Law, Technology & Arts

The emergence of generative artificial intelligence (AI) systems poses novel challenges for the right to be forgotten. While this right gained prominence following the 2014 Google Spain v. Gonzalez case, generative AI’s limitless memory and ability to reproduce identifiable data from fragments threaten traditional conceptions of forgetting. This Article traces the evolution of the right to be forgotten from its privacy law origins towards an independent entitlement grounded in self-determination for personal information. However, it contends the inherent limitations of using current anonymization, deletion, and geographical blocking mechanisms to prevent AI models from retaining personal data render forgetting infeasible. Moreover, …

Dol Fiduciary Rule 3.0 Strikeout, Base Knock, Or Home Run?, Antolin Reiber

DePaul Business & Commercial Law Journal

No abstract provided.

Money Is Morphing - Cryptocurrency Can Morph To Be An Environmentally And Financially Sustainable Alternative To Traditional Banking, Clovia Hamilton

DePaul Business & Commercial Law Journal

No abstract provided.

Survey Evidence In Trademark Actions, Ioana Vasiu And Lucian Vasiu

DePaul Business & Commercial Law Journal

No abstract provided.

Corporate Governance And Compelled Speech: Do State-Imposed Board Diversity Mandates Violate Free Speech?, Salar Ghahramani

DePaul Business & Commercial Law Journal

No abstract provided.

The Real Persons Are The Corporations We Made Along The Way, Leonard Brahin

DePaul Business & Commercial Law Journal

No abstract provided.

Front Matter

DePaul Business & Commercial Law Journal

No abstract provided.

D-Hacking, Emily Black, Talia B. Gillis, Zara Hall

Faculty Scholarship

Recent regulatory efforts, including Executive Order 14110 and the AI Bill of Rights, have focused on mitigating discrimination in AI systems through novel and traditional application of anti-discrimination laws. While these initiatives rightly emphasize fairness testing and mitigation, we argue that they pay insufficient attention to robust bias measurement and mitigation — and that without doing so, the frameworks cannot effectively achieve the goal of reducing discrimination in deployed AI models. This oversight is particularly concerning given the instability and brittleness of current algorithmic bias mitigation and fairness optimization methods, as highlighted by growing evidence in the algorithmic fairness literature. …

Governing The Metaverse, Jesse Valente

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …