Computer Law Commons^™

The Art Of Dodging Bullets: How Covid-19 Drug Manufacturers And Providers Plan To Escape Tort Liability, Ruan Meintjes

SMU Science and Technology Law Review

No abstract provided.

The Fifth Circuit, Fourth Amendment, And The Third-Party Doctrine: Two Takeaways From The Court’S First Ruling On Bitcoin Privacy, Daniel Penn

SMU Science and Technology Law Review

No abstract provided.

Trump’S Twitter Tension: Is Social Media A Modern Restriction On Government Employees?, Caylee Phillips

SMU Science and Technology Law Review

No abstract provided.

Signed, Sealed, Patented?: A Look At The United States Postal Service’S Patent Application For Implementing Blockchain Technology In Mobile Voting Systems, Ethan Todd

SMU Science and Technology Law Review

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Copyright, Pandemics, And Emergencies: When Desperate Times Dictate Contextual Responses, Caroline L. Osborne

SMU Science and Technology Law Review

This article explores fair use, the library exception, the first sale doctrine, and controlled digital lending as responses to copyright in the context of permitting libraries to digitize materials existing exclusively in print in their collection for use in teaching, research, and scholarship by students, faculty, and other patrons. Also included is a decision matrix to be employed as a tool for analysis in making the decisions as to digitization of print resources in response to instances of emergencies.

Abolishing The Communications Decency Act Might Sanitize “Politically Biased,” “Digitally Polluted” And “Dangerously Toxic” Social Media? ― Judicial And Statistical Guidance From Federal-Preemption, Safe-Harbor And Rights-Preservation Decisions, Willy E. Rice

SMU Science and Technology Law Review

Sitting and former U.S. Presidents as well as members of the general public, financial, political and educational institutions use social media. Yet, an overwhelming majority of users, content creators, parents, “conservatives,” “progressives,” Democrats and Republicans distrust social-media owners. Some critics allege that owners “digitally pollute” platforms by encouraging users to post “corrosive, dangerous, toxic and illegal content.” Other critics assert that service providers’ purportedly objective content-moderation algorithms are biased ― discriminating irrationally on the basis of users’ political association, ideology, socioeconomic status, gender and ethnicity. Republicans and Democrats have crafted roughly twenty bills. In theory, the enacted proposals would “sanitize” …

Uncovering The “Realness” Of Cgi Influencers, Samantha Favela

SMU Science and Technology Law Review

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

The Death Of The Ai Author, Carys Craig, Ian Kerr

Articles & Book Chapters

Much of the recent literature on AI and authorship asks whether an increasing sophistication and independence of generative code should cause us to rethink embedded assumptions about the meaning of authorship. It is often suggested that recognizing the authored — and so copyrightable — nature of AI-generated works may require a less profound doctrinal leap than has historically been assumed. In this essay, we argue that the threshold for authorship does not depend on the evolution or state of the art in AI or robotics. Rather, the very notion of AI-authorship rests on a category mistake: it is an error …

Can Computational Antitrust Succeed, Daryl Lim

Faculty Scholarly Works

Computational antitrust comes to us at a time when courts and agencies are underfunded and overwhelmed, all while having to apply indeterminate rules to massive amounts of information in fast-moving markets. In the same way that Amazon disrupted e-commerce through its inventory and sales algorithms and TikTok’s progressive recommendation system keeps users hooked, computational antitrust holds the promise to revolutionize antitrust law. Implemented well, computational antitrust can help courts curate and refine precedential antitrust cases, identify anticompetitive effects, and model innovation effects and counterfactuals in killer acquisition cases. The beauty of AI is that it can reach outcomes humans alone …

Recognizing The Role Of Inspectors General In The U.S. Government's Cybersecurity Restructuring Task, Amy Gaudion

Faculty Scholarly Works

Months prior to the 2015 public disclosure of a data breach at the U.S. government’s Office of Personnel and Management (OPM), the Office of the Inspector General for OPM issued a report that identified significant deficiencies and material weaknesses in a number of the agency’s information systems and IT security programs. In response to the 2020 SolarWinds supply chain hack, attributed to Russia, calls are underway for inspectors general to conduct audits and inspections and to review prior inspector general assessments of information systems and vulnerabilities at federal agencies. The use of inspectors general to assess information system vulnerabilities and …

The General Data Protection Regulation And Open Source Software Communities, Amye Scavarda Perrin

Cybaris®

No abstract provided.

Beyond The "Black Box", Charlotte A. Tschider

Faculty Publications & Other Works

As algorithms have become more complex, privacy and ethics scholars have urged artificial intelligence (AI) transparency for purposes of ensuring safety and preventing discrimination. International statutes are increasingly mandating that algorithmic decision-making be explained to affected individuals when such decisions impact an individual's legal rights, and U.S. scholars continue to call for transparency in automated decision-making.

Unfortunately, modern Al technology does not function like traditional, human-designed algorithms. Due to the unavailability of alternative intellectual property (IP) protections and their often dynamically inscrutable status, algorithms created by Al are often protected under trade-secrecy status, which prohibits sharing the details of a …

Virtual Hearings And Blockchain Technology Solutions In Criminal Law, Chantell Bergquist

Mitchell Hamline Law Review

No abstract provided.

Table Of Contents, Seattle University Law Review

Seattle University Law Review

Table of Contents

Artificial Intelligence And Trade, Anupam Chander

Georgetown Law Faculty Publications and Other Works

Artificial Intelligence is already powering trade today. It is crossing borders, learning, making decisions, and operating cyber-physical systems. It underlies many of the services that are offered today – from customer service chatbots to customer relations software to business processes. The chapter considers AI regulation from the perspective of international trade law. It argues that foreign AI should be regulated by governments – indeed that AI must be ‘locally responsible’. The chapter refutes arguments that trade law should not apply to AI and shows how the WTO agreements might apply to AI using two hypothetical cases . The analysis reveals …

Self-Defense To Cyber Force: Combatting The Notion Of 'Scale And Effect', Thomas Eaton

Scholarly Works

The ability to reach out, with a few keystrokes or a couple lines of code, through the interconnected world of cyberspace and create militarily advantageous effects 10,000 miles away has changed warfare as previously conceived, perhaps more than any other advancement in any other domain of war. Cyber weapons are weapons, and whatever law applies to conventional weapons equally applies to cyber weapons. Long before cyber operations were even science fiction, there was much debate over what constituted a use of force that would justify force in response. In many ways, the debate over what constitutes cyber-attacks has been pasted …

What's In Your Box? Removing The Tiffany Standard Of Knowledge In Online Marketplaces, Hayley Dunn

Catholic University Journal of Law and Technology

Online shopping is a quintessential component of modern life. Millions of products from trusted brands are conveniently available at single-stop online marketplaces such as Amazon, eBay, and Alibaba with the click of a button from the comfort of home. But is the product delivered to the consumer’s front door actually the same as the one found on a store shelf? Pervasive trademark infringement in online marketplaces makes the answer to this question difficult, that is, until the consumer experiences negative consequences from a counterfeited product.

Under Tiffany (NJ) Inc. v. eBay, Inc., online marketplaces face almost no liability …

Access Denied? Unauthorized Access After Hiq Labs V. Linkedin, Dalton Sjong

Marquette Intellectual Property & Innovation Law Review

None

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.

Eu Directive On Copyright In The Digital Single Market: An Outlier In Intermediary Liability And The Death Of Safe Harbor Protections, Marisa N. Sanchez

University of San Francisco Law Review

No abstract provided.

Ai And Copyright, Carys Craig

All Papers

This chapter examines the most pertinent issues facing copyright law as it encounters increasingly sophisticated artificial intelligence (AI). It begins with a few introductory examples to illuminate the potential interactions of AI and copyright law. Section 1 tackles the question of whether AI-generated works are copyrightable in Canada and who, if anyone, might own that copyright. This involves a doctrinal discussion of “originality” (the threshold for copyrightability) as well as reflections on the meaning of “authorship,” and concludes with the suggestion that autonomously generated AI outputs presently (and rightly) belong in the public domain. Section 2 turns to consider issues …

The Small-Er Screen: Youtube Vlogging And The Unequipped Child Entertainment Labor Laws, Amanda G. Riggio

Seattle University Law Review

Family vloggers are among the millions of content creators on YouTube. In general, vloggers frequently upload recorded videos of their daily lives. Family vloggers are unique because they focus their content around their familial relationships and the lives of their children. One set of family vloggers, the Ace Family, has recorded their children’s lives from the day they were born and continue to upload videos of each milestone, including “Elle Cries on Her First Rollercoaster Ride” and “Elle and Alaïa Get Caught Doing What!! **Hidden Camera**.” Another vlogging couple, Cole and Savannah LaBrant, post similar content, including videos titled “Baby …

Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys Craig, Michael Geist, Joao Pedro Quintais

Reports & Public Policy Documents

We are grateful for the opportunity to participate in the Canadian Government’s consultation on a modern copyright framework for AI and the Internet of Things. Below, we present some of our research findings relating to the importance of flexibility in copyright law to permit text and data mining (“TDM”). As the consultation paper recognizes, TDM is a critical element of artificial intelligence. Our research supports the adoption of a specific exception for uses of works in TDM to supplement Canada’s existing general fair dealing exception.

Empirical research shows that more publication of citable research takes place in countries with “open” …

Models, Race, And The Law, Moon Duchin, Douglas M. Spencer

Publications

Capitalizing on recent advances in algorithmic sampling, The Race-Blind Future of Voting Rights explores the implications of the long-standing conservative dream of certified race neutrality in redistricting. Computers seem promising because they are excellent at not taking race into account—but computers only do what you tell them to do, and the rest of the authors’ apparatus for measuring minority electoral opportunity failed every check of robustness and numerical stability that we applied. How many opportunity districts are there in the current Texas state House plan? Their methods can give any answer from thirty-four to fifty-one, depending on invisible settings. But …

Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann

Faculty Scholarship

The proliferation of artificial intelligence in our daily lives has spawned a burgeoning literature on the dawn of dehumanized, algorithmic governance. Remarkably, the scholarly discourse overwhelmingly fails to acknowledge that automated, non-human governance has long been a reality. For more than a century, policymakers have relied on regulations that automatically adjust to changing circumstances, without the need for human intervention. This article surveys the track record of self-adjusting governance mechanisms to propose a normative theory of automated regulation.

Effective policymaking frequently requires anticipation of future developments, from technology innovation to geopolitical change. Self-adjusting regulation offers an insurance policy against the …

Beyond Transparency And Accountability: Three Additional Features Algorithm Designers Should Build Into Intelligent Platforms, Peter K. Yu

Faculty Scholarship

In the age of artificial intelligence, innovative businesses are eager to deploy intelligent platforms to detect and recognize patterns, predict customer choices and shape user preferences. Yet such deployment has brought along the widely documented problems of automated systems, including coding errors, corrupt data, algorithmic biases, accountability deficits and dehumanizing tendencies. In response to these problems, policymakers, commentators and consumer advocates have increasingly called on businesses seeking to ride the artificial intelligence wave to build transparency and accountability into algorithmic designs.

While acknowledging these calls for action and appreciating the benefits and urgency of building transparency and accountability into algorithmic …

Artificial Intelligence And The Challenges Of Workplace Discrimination And Privacy, Pauline Kim, Matthew T. Bodie

Scholarship@WashULaw

Employers are increasingly relying on artificially intelligent (AI) systems to recruit, select, and manage their workforces, raising fears that these systems may subject workers to discriminatory, invasive, or otherwise unfair treatment. This article reviews those concerns and provides an overview of how current laws may apply, focusing on two particular problems: discrimination on the basis of protected characteristics like race, sex, or disability, and the invasion of workers’ privacy engendered by workplace AI systems. It discusses the ways in which relying on AI to make personnel decisions can produce discriminatory outcomes and how current law might apply. It then explores …

“Computer Says No!”: The Impact Of Automation On The Discretionary Power Of Public Officers, Doa A. Elyounes

Vanderbilt Journal of Entertainment & Technology Law

The goal of this Article is to unpack the “human in the loop” requirement in the process of automation. It will analyze the impact of automation on street-level bureaucrats and lay out the steps policy makers need to take into account to ensure that meaningful human discretion is maintained. This issue is examined by comparing two algorithms related to the use of automation to detect and investigate fraud in welfare benefits. The first algorithm is used by Michigan’s Unemployment Insurance Agency for detecting and investigating unemployment fraud. This is a draconian algorithm with the ability to automatically decide to cut …