Computer Law Commons^™

Muth's Law: Anticipating Ai Model Collapse, Karl T. Muth

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Restricting Data Flows Is A Sign Of Weakness, Nikolas Guggenberger

Seattle University Law Review

There has been a seismic shift in American attitudes toward the free flow of data across borders.  In less than a decade, the United States has transitioned from condemning barriers to digital trade to constructing a digital fortress of its own. It passed legislation requiring TikTok’s parent company to divest its U.S. operations or face a nationwide ban affecting 170 million U.S. users, citing national security concerns about its ties to China and the potential for data surveillance and content manipulation. Upon legal challenge by TikTok on First Amendment grounds, the Supreme Court affirmed the ban’s constitutionality. Recent federal legislation …

Obscurity And The Fallacy Of No Privacy In Public Information, Woodrow Hartzog

Faculty Scholarship

The main thesis of this chapter is that because there are so many different possible interpretations of ‘public information’, the concept cannot be used to justify data practices and surveillance without first articulating a more precise meaning that recognises what is at stake. By disposing of the myth that there is an objective and dispassionate concept of public information, judges and lawmakers can clear the way for information rules based on overt value choices. In short, if the concept of ‘public’ is going to shape people’s social and legal obligations, its meaning and neutrality should not be assumed.

My argument …

The Gamification Of Banking, Colleen Baker, Christopher K. Odinet

Faculty Scholarship

Gamification is coming to banking. This phenomenon is already gain-ing ground in advertising, healthcare, manufacturing, and, more recently, with the GameStop and AMC meme stock saga in securities trading. The idea behind gamification is to make transactions seem fun, playful, and even casino-like in order to elicit habit-forming, addictive-like effects with consumers. This Article argues that the rise of financial technology (“fintech”) firms and their ever-growing business relationships with incumbent financial institutions has created the necessary conditions for gamification to take hold in the banking sector. In order to explore this observation, we undertake a study of current examples of …

Data Advantage And Merger Review: Can Entrenchment Theory Reform Antitrust Enforcement?, Shin-Ru Cheng

Seattle University Law Review

A merger involving giant digital companies is likely to dampen competition, as it allows those companies to combine and control data access, enabling them to entrench their dominant positions in relevant markets and extend those positions into related markets. While competition law in many jurisdictions aims to prohibit mergers that may substantially lessen competition or create a monopoly, arguably the review of digital mergers is failing because antitrust agencies lack an effective approach to identify data-generated anticompetitive harms. This Article demonstrates that entrenchment theory, recently reintroduced in the 2023 U.S. Merger Guidelines, would help reform the process of antitrust enforcement. …

Guide To Sec And Business Open Source Corporate Intelligence, Lawrence J. Trautman, Brian Elzweig, Neal F. Newman

Faculty Scholarship

An agency of the U.S. intelligence community observes, "The explosion of open source intelligence (OSINT) in recent years has transformed how governments and people around the world consume and process information about society and global issues." It is likely that "We all use open-source and probably don't even realize it, but we also use it for different reasons. You might use open-source information to do a credibility check and to find out more about the person selling you something on Facebook marketplace." Others "may research someone… met on a dating app or before hiring someone for a job." Every use …

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.

Slavery.Ai, Emile Loza De Siles

Washington and Lee Journal of Civil Rights and Social Justice

The artificial intelligence market is swarming. Supercharged start-ups, global tech giants, and increasingly algorithmic governments target diverse use cases with new and stunningly innovative AI applications coming online every day. Where people are the computational subjects of those algorithmic machinations, however, there is no law, present or effective, to protect them against great and propagating harms. Consequently, people become data production units, the commoditized of the Data Industrial Complex and unfree, unpaid inputs to AI production.

This Article shares a new and provocative vision. It theorizes that unregulated AI systems and uses are giving rise to an emergent form of …

The Role Of Ethical Principles In Ai Startups, James Bessen, Stephen Michael Impink, Robert Seamans

Faculty Scholarship

Do high-tech startups benefit from developing more ethical AI? AI startups implement policies and take actions to manage ethical issues associated with data collection, storage, and usage and adapt to the norms of their industry. This paper describes these startups' ethics-related actions, including ethical AI policy adoption, and examines how these actions relate to startup performance. We find that merely adopting an ethical AI policy (i.e., a less costly signal) does not relate to increased performance. However, there is evidence that investors reward startups that take more costly preventative pro-ethics actions, like seeking expert guidance, training employees about unconscious bias, …

“Statistics Are Human Beings With The Tears Wiped Away”: Utilizing Data To Develop Strategies To Reduce The Number Of Native Americans Who Go Missing, Lori Mcpherson, Sarah Blazucki

Seattle University Law Review

On New Year’s Eve night, 2019, sixteen-year-old Selena Shelley Faye Not Afraid attended a party in Billings, Montana, about fifty miles west of her home in Hardin, Montana, near the Crow Reservation. A junior at the local high school, she was active in her community. The party carried over until the next day, and she caught a ride back toward home with friends in a van the following afternoon. When the van stopped at an interstate rest stop, Selena got out but never made it back to the van. The friends reported her missing to the police and indicated they …

Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon

Faculty Scholarship

The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …

Data Vu: Why Breaches Involve The Same Stories Again And Again, Woodrow Hartzog, Daniel Solove

Shorter Faculty Works

In the classic comedy Groundhog Day, protagonist Phil, played by Bill Murray, asks “What would you do if you were stuck in one place and every day was exactly the same, and nothing that you did mattered?” In this movie, Phil is stuck reliving the same day over and over, where the events repeat in a continual loop, and nothing he does can stop them. Phil’s predicament sounds a lot like our cruel cycle with data breaches.

Every year, organizations suffer more data spills and attacks, with personal information being exposed and abused at alarming rates. While Phil …

Passcodes, Protection, And Legal Practicality: The Necessity Of A Digital Fifth Amendment, Ethan Swierczewski

Catholic University Journal of Law and Technology

No abstract provided.

The New Bailments, Danielle D'Onfro

Scholarship@WashULaw

The rise of cloud computing has dramatically changed how consumers and firms store their belongings. Property that owners once managed directly now exists primarily on infrastructure maintained by intermediaries. Consumers entrust their photos to Apple instead of scrapbooks; businesses put their documents on Amazon’s servers instead of in file cabinets; seemingly everything runs in the cloud. Were these belongings tangible, the relationship between owner and intermediary would be governed by the common-law doctrine of bailment. Bailments are mandatory relationships formed when one party entrusts their property to another. Within this relationship, the bailees owe the bailors a duty of care …

Security In The Digital Age, Michael Gentithes

Akron Law Faculty Publications

Rapidly evolving technology allows governments and businesses to elevate our collective well-being in ways we could not have imagined just decades ago. Data is now a resource that governments and businesses alike can mine to address the world’s needs with greater efficiency, accuracy, and flexibility. But evolving technology and advanced data analytics also come with risk. New digital capabilities also create new means for nefarious actors to infiltrate the complex technological systems at the heart of nearly all of our daily activities. Just as new digital tools emerge to offer unique goods and services, new tools allow wrongdoers to invade …

Legislating Data Loyalty, Woodrow Hartzog, Neil Richards

Faculty Scholarship

Lawmakers looking to embolden privacy law have begun to consider imposing duties of loyalty on organizations trusted with people’s data and online experiences. The idea behind loyalty is simple: organizations should not process data or design technologies that conflict with the best interests of trusting parties. But the logistics and implementation of data loyalty need to be developed if the concept is going to be capable of moving privacy law beyond its “notice and consent” roots to confront people’s vulnerabilities in their relationship with powerful data collectors.

In this short Essay, we propose a model for legislating data loyalty. Our …

Natural Language Processing For Lawyers And Judges, Frank Fagan

Michigan Law Review

A Review of Law as Data: Computation, Text, & the Future of Legal Analysis. Edited by Michael A. Livermore and Daniel N. Rockmore.

Show Me The (Data About The) Money!, Nizan Geslevich Packin

Utah Law Review

Information about consumers, their money, and what they do with it is the lifeblood of the flourishing financial technology (“FinTech”) sector. Historically, highly regulated banks jealously protected this data. However, consumers themselves now share their data with businesses more than ever before. These businesses monetize and use the data for countless prospects, often without the consumers’ actual consent. Understanding the dimensions of this recent phenomenon, more and more consumer groups, scholars, and lawmakers have started advocating for consumers to have the ability to control their data as a modern imperative. This ability is tightly linked to the concept of open …

From Protecting To Performing Privacy, Garfield Benjamin

The Journal of Sociotechnical Critique

Privacy is increasingly important in an age of facial recognition technologies, mass data collection, and algorithmic decision-making. Yet it persists as a contested term, a behavioural paradox, and often fails users in practice. This article critiques current methods of thinking privacy in protectionist terms, building on Deleuze's conception of the society of control, through its problematic relation to freedom, property and power. Instead, a new mode of understanding privacy in terms of performativity is provided, drawing on Butler and Sedgwick as well as Cohen and Nissenbaum. This new form of privacy is based on identity, consent and collective action, a …

The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D.

Georgia State University Law Review

An examination of technology in the countertrafficking space reveals recurring tensions between law enforcement and rights-based approaches. It also illuminates assumptions, such as the one that posits more law enforcement-focused, nonstate-actor-supported data-driven efforts are necessary to securing justice for people in trafficking situations. However, a closer look at how technology is used and by whom also invites us to ask different questions and to leverage the power of our all-too-human creative potential in thinking about how to value and prioritize data ethics, transparency, and accountability in future countertrafficking work.

Linn Foster Freedman Room Dedication At Rwu School Of Law 11-01-2019, Roger Williams University School Of Law, Michael M. Bowden

School of Law Conferences, Lectures & Events

No abstract provided.

The Gdpr: It Came, We Saw, But Did It Conquer?, Leila Javanshir

Seattle University Law Review

On February 1, 2019, the Seattle University Law Review held its annual symposium at the Seattle University School of Law. Each year, the Law Review hosts its symposium on a topic that is timely and meaningful. This year, privacy and data security professionals from around the globe gathered to discuss the current and future effects of the General Data Protection Regulation (GDPR) that was implemented on May 25, 2018. The articles and essays that follow this Foreword are the product of this year’s symposium.

Confiding In Con Men: U.S. Privacy Law, The Gdpr, And Information Fiduciaries, Lindsey Barrett

Seattle University Law Review

In scope, ambition, and animating philosophy, U.S. privacy law and Europe’s General Data Protection Regulation are almost diametric opposites. The GDPR’s ambitious individual rights, significant prohibitions, substantive enforcement regime, and broad applicability contrast vividly with a scattershot U.S. regime that generally prioritizes facilitating commerce over protecting individuals, and which has created perverse incentives for industry through anemic enforcement of the few meaningful limitations that do exist. A privacy law that characterizes data collectors as information fiduciaries could coalesce with the commercial focus of U.S. law, while emulating the GDPR’s laudable normative objectives and fortifying U.S. consumer privacy law with a …

Privacy Statements Under The Gdpr, Mike Hintze

Seattle University Law Review

The need to include specific types of information in a privacy statement is a GDPR compliance obligation that does not get as much attention as some other GDPR requirements. Perhaps that is because privacy statements have been much maligned in recent years. They are too long and full of legalese. Nobody reads them. They are part of a notice and consent approach to privacy that puts an unrealistic burden on consumers to make informed choices. But despite these well-known criticisms, the GDPR doubles down on privacy statements. In fact, gauging by the roughly fourfold increase in privacy statement requirements compared …

Footprints: Privacy For Enterprises, Processors, And Custodians…Oh My!, Blair Witzel, Carrie Mount

Seattle University Law Review

Americans’ interest in privacy—as evidenced by increasing news coverage, online searches, and new legislation—has grown over the past decade. After the European Union enacted the General Data Protection Regulation (GDPR), technologists and legal professionals have focused on primary collectors of data—known under various legal regimes as the “controller” or “custodian.” Thanks to advances in computing, many of these data collectors offload the processing of data to third parties providing data-related cloud services like Amazon, Microsoft, and Google. In addition to the data they have already collected about the data subjects themselves, these companies now “hold” that data on behalf of …

Data-Informed Duties In Ai Development, Frank A. Pasquale

Faculty Scholarship

Law should help direct—and not merely constrain—the development of artificial intelligence (AI). One path to influence is the development of standards of care both supplemented and informed by rigorous regulatory guidance. Such standards are particularly important given the potential for inaccurate and inappropriate data to contaminate machine learning. Firms relying on faulty data can be required to compensate those harmed by that data use—and should be subject to punitive damages when such use is repeated or willful. Regulatory standards for data collection, analysis, use, and stewardship can inform and complement generalist judges. Such regulation will not only provide guidance to …

The Role Of Satellites And Smart Devices: Data Surprises And Security, Privacy, And Regulatory Challenges, Anne T. Mckenna, Amy C. Gaudion, Jenni L. Evans

Faculty Scholarly Works

Strava, a popular social media platform and mobile app like Facebook but specifically designed for athletes, posts a “heatmap” with consensually-obtained details about users’ workouts and geolocation. Strava’s heatmap depicts aggregated data of user location and movement by synthesizing GPS satellite data points and movement data from users’ smart devices together with satellite imagery. In January of 2018, a 20-year-old student tweeted that Strava’s heatmap revealed U.S. forward operating bases. The tweet revealed a significant national security issue and flagged substantial privacy and civil liberty concerns.

Smart devices, software applications, and social media platforms aggregate consumer data from multiple data …

Polemik Pengaturan Kepemilikan Data Pribadi: Urgensi Untuk Harmonisasi Dan Reformasi Hukum Di Indonesia, Setyawati Fitri Anggraeni

Jurnal Hukum & Pembangunan

Big data is the large volume of data available in information traffic and is considered to have economic value in the present. The data is collected, stored, and sometimes analyzed for the purpose of providing economic benefits to certain organizations. As individuals who provide the data to an organization, we believe that the data will be protected and kept confidential. However, the reality is sometimes different. Laws and regulations that specifically regulate the collection, storage, publication and protection of personal data very needed. This paper will discuss the legal framework for personal data and their protection in Indonesia. At the …

Artificial Intellegence And Policing: First Questions, Elizabeth E. Joh

Seattle University Law Review

Artificial intelligence is playing an increasingly larger role in all sectors of society, including policing. Many police departments are already using artificial intelligence (AI) to help predict and identify suspicious persons and places.1 Increased computational power and oceans of data have given rise to inferences about violence and threats.2 AI will change policing just as it will healthcare, insurance, commerce, and transportation. But what questions should we ask about AI and policing?

Regulating Black-Box Medicine, W. Nicholson Price Ii

Michigan Law Review

Data drive modern medicine. And our tools to analyze those data are growing ever more powerful. As health data are collected in greater and greater amounts, sophisticated algorithms based on those data can drive medical innovation, improve the process of care, and increase efficiency. Those algorithms, however, vary widely in quality. Some are accurate and powerful, while others may be riddled with errors or based on faulty science. When an opaque algorithm recommends an insulin dose to a diabetic patient, how do we know that dose is correct? Patients, providers, and insurers face substantial difficulties in identifying high-quality algorithms; they …