Computer Law Commons^™

Deepfakes As Tools For Domestic Violence: Toward A Comprehensive Federal Response To Nonconsensual Deepfake Intimate Imagery, Laura Reitze

Washington and Lee Law Review Online

The rise of deepfake technology poses a novel and uniquely insidious manner of perpetrating domestic violence. Nonconsensual intimate imagery (NCII) abuse and “sextortion” are nothing new. But the increasing accessibility of deepfake technology makes it easier for abusers to carry out these forms of violence, sometimes simply with access to publicly available images of a person. As the technology rapidly evolves, the law has struggled to keep up.

This Note explores how existing law inadequately addresses emerging deepfake technology as it relates to domestic violence. Noting the origins of deepfakes in NCII, it begins with an exploration of the connection …

Ai Suffrage For Human Flourishing, Simon Goldstein, Guha Krishnamurthi, Peter N. Salib

Fordham Law Review

Should Artificial Intelligence (AI) systems have the vote? One approach to this question is to explore AI systems’ moral characteristics, asking whether they possess the qualities that entitle humans to equal political standing and, consequently, suffrage. Those are important questions. But they are very hard ones, resting on highly contestable premises about ethics, AI, and humanity.

We instead take a functionalist approach: On the current trajectory, AIs will soon be highly agentic and capable, while remaining difficult to align with human objectives. If so, law will be an essential tool for shaping such systems’ behavior to favor positive-sum cooperation with …

Nonhuman Speakers And The Constitution, Helen Norton

Fordham Law Review

Long-standing free speech law sometimes does—and sometimes does not—turn on speakers’ human character. This Essay explores how these doctrinal threads might shape the constitutional doctrine applied to generative artificial intelligence’s (AI) speech outputs if we assume that a human speaker cannot be identified as the creator of those words and images—and that those words and images are nevertheless considered “speech” for First Amendment purposes.

For example, First Amendment doctrine sometimes requires proof of a speaker’s culpable mental state before that speaker can be held liable for what would otherwise be unprotected speech. These requirements seek to prevent the chilling of …

Digital Gaze And Constitutional Democracy At 250, Catherine Powell

Fordham Law Review

The panopticon of digital surveillance undermines identity formation and realization of our authentic selves. This Essay offers a new insight by conceptualizing alienation from genuine selfhood as a form of “double consciousness.” W.E.B. Du Bois formulated the notion of double consciousness—the dual awareness inherent in negotiating between a self-defined identity and an externally imposed one. Just as Du Bois speaks of “double consciousness” for African Americans, the ever-present digital gaze to which we are now all subject—regardless of our race—creates a similar duality. I call this duality “online double consciousness,” which is compounded for people of color and other historically …

Clickwrap Accountability, Alicia Solow-Niederman

Fordham Law Review

Picture a public‑facing generative artificial intelligence (AI) chatbot on a government website that can answer questions about benefits eligibility. Systems like these expose a sociotechnical-legal divide: They route around the standard due process framework because there has been no formal government determination, yet they induce reliance from users, above and beyond past rounds of automated legal guidance. Moreover, if there is an error, current doctrine on government errors and equitable estoppel makes relief unlikely.

This Essay focuses on government deployment of public‑facing generative AI chatbots and critically assesses the front‑end power dynamics that determine who is filtered out of government …

Algorithmic Models And The Freedom Of Speech, Alexander Tsesis

Fordham Law Review

Intentionality and reason are intrinsic features of the human mind that large language models (LLMs) entirely lack. Although LLMs generate natural-language sentences through algorithmic processes, autonomously produced machine speech lacks the consciousness of human speakers. This intrinsic distinction between natural persons and artificial machines is consequential to whether LLM-generated outputs are covered by the First Amendment. Scholars who equate the constitutional value of human speech with algorithmic outputs tend to emphasize the informational value of those outputs to audiences while giving insufficient attention to the absence of machine consciousness. The conscious underpinnings of thought and their relation to constitutional protections …

L'Informatique Juridique Appliquée À La Responsabilité Du Fait Des Choses, Roula Masri

Proche-Orient, Études juridiques

No abstract provided.

Algorithmic Law In Contemporary Brazil: From Cyber-Libertarianism To Constitutional Rights, Pedro Rubim Borges Fortes

Latin American & Caribbean Law Review

This article provides a reflection of Brazilian algorithmic law, exploring how law regulates algorithms by defining prohibitions, permissions, standards, and rights in contemporary Brazil. Importantly, the concept of “algorithmic law” implies a normative idea, that is, that law should regulate algorithms, defining prohibitions, permissions, standards, and rights. This study examines the ideological transformation of law and technology, as Brazilian society moved from a libertarian approach to a perspective of establishing protective legislation, regulation, and constitutional rights to technology users. It explains the ‘Civil Rights Framework for the Internet.’ the ‘General Data Protection Law,’ the legislative project of an Artificial Intelligence …

A Response To How Ai Destroys Institutions, Andrew M. Perlman

SMU Law Review Forum

No abstract provided.

Why I Use Ai To Assist With Legal Scholarship, Michael J. Showalter

SMU Law Review Forum

In early 2026, I wrote a short law review article, with Claude’s junior-associate assistance, in roughly fifteen hours. I was so stunned by Claude’s effectiveness that I promptly started a law firm to replicate my productivity gains for clients. But I viewed my decision to use modern technology as unremarkable—no more surprising than a lawyer skipping the law library for Westlaw when it was invented.

Unexpectedly, my story went viral on social media and polarized the legal academy. Before anyone had read the article—its identity was not initially disclosed—some professors labeled it “plagiarism,” “academic dishonesty,” and “slop.” One simply assumed, …

Dishonorable Machines: Why And How To Resist Trial By Ai Judges, Kyle Singhal

SMU Law Review Forum

Just as humans trust human doctors to treat human ills, we trust human judges to resolve human disputes. A doctor may employ artificial intelligence (AI) tools to aid in diagnosis, but the doctor ultimately decides what to prescribe, and the doctor bears accountability for that choice. This Article argues that judging demands the same boundary: AI may assist as a tool, but it must not replace human decision-making.

Perhaps unsurprisingly, in light of AI’s recent gains in its ability to process large quantities of seemingly complex material, some scholars and practitioners have contended otherwise, urging that at least some judging …

Mitigating Common Vulnerabilities And Exposures In Cobol-Based Critical Systems Using The Strangler-Fig Pattern, Lauren E. Caruso, Vincent J. Compeau, Assefaw H. Gebremedhin

Military Cyber Affairs

COBOL-based legacy systems continue to underpin critical infrastructure in banking and government sectors despite their age and associated cybersecurity risks. Originally developed through a Department of Defense–sponsored initiative to standardize business computing, COBOL remains widely used in mission-critical environments. However, these systems face increasing vulnerabilities due to outdated security architectures, workforce shortages, and rising maintenance costs. This paper examines cybersecurity and operational challenges associated with COBOL systems and evaluates the Strangler Fig pattern as a modernization strategy that enables incremental replacement while maintaining continuity. The findings highlight implications for financial institutions and public-sector organizations dependent on legacy infrastructure.

Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik

Military Cyber Affairs

This article examines how hybrid deep learning can strengthen intrusion detection for military and defense networks. Using the CSE-CIC-IDS2018 dataset, the study evaluates a CNN-BiLSTM model designed to detect benign traffic and multiple attack categories, including DDoS, DoS, botnet, brute-force, web attack, and infiltration activity. The model achieved strong multi-class detection performance, with 0.9893 accuracy and 0.9979 ROC-AUC. The findings suggest that AI-supported intrusion detection can improve cyber defense operations, analyst triage, and protection of mission-critical networks.

Foreward, Todd Arnold

Military Cyber Affairs

No abstract provided.

Letter From The Director: Mastery In Practice, Joseph Schafer

Military Cyber Affairs

No abstract provided.

Between Blockchain And Black Markets: South Africa's Legal Readiness For Crypto-Driven Cyberfraud, Sagwadi Mabunda, Yassin Chande

Communications of the IIMA

This paper examines whether the proliferation of cryptocurrency-facilitated fraud warrants a reclassification of the terrestrial crime of fraud into the distinct statutory offence of cyberfraud under South African law. Engaging with established fraud typologies — exit scams, Initial Coin Offering (ICO) scams, Ponzi schemes, pump-and-dump schemes, and market manipulation — the article tests their definitional fit against both the common law of fraud and section 8 of the Cybercrimes Act 19 of 2020. Through a hypothetical composite scenario combining multiple fraud typologies, the article demonstrates that whilst cryptocurrency significantly amplifies the reach and complexity of fraudulent schemes, it functions primarily …

Masthead

Seattle University Law Review

No abstract provided.

Table Of Contents

Seattle University Law Review

No abstract provided.

Getting Money Out Of Politics By Putting Money Into Politics: A Few Modest Proposals To Reform Seattle’S Democracy Voucher Program, Decker O’Donnell

Seattle University Law Review

Seattle’s Democracy Voucher Program offers an unconventional response to the growing influence of money in American elections: rather than restricting political spending, it seeks to amplify the participation of ordinary voters by providing publicly funded vouchers that residents may assign to participating candidates. This Article examines the program’s development, operation, and constitutional foundation within the modern campaign-finance framework established by Buckley v. Valeo and subsequent Supreme Court decisions. It argues that democracy vouchers provide a constitutionally viable means of broadening participation in campaign financing while mitigating the influence of wealthy donors. The Article identifies two weaknesses in the current system: …

Legal Malpractice In Washington: Use Of The Rules Of Professional Conduct, Angelo Tadrous

Seattle University Law Review

Legal malpractice claims are difficult to prove. They are difficult to prove because many jurisdictions require that a plaintiff prove that, but for the lawyer’s misconduct, the client would have fared better. Thus, in a malpractice suit, a plaintiff must try a case within a case. Despite this difficulty, many jurisdictions prohibit the use of the Rules of Professional Conduct when litigating a malpractice case. Washington State is one of these jurisdictions. The Washington Supreme Court held in Hizey v. Carpenter that the Rules of Professional Conduct may not be referred to during trial. This Note argues that this prohibition …