Science and Technology Law Commons^™

Scientific Uncertainty As Political Aggression: A Manifesto For Those Who Value Science And Want To Save It From State And Corporate Control, Stephen Demeo

Publications and Research

A manifesto is an opportunity to publicly express strongly held beliefs about a topic that is personally important to an author. It is analytical as it is creative. “Scientific Uncertainty as Political Aggression” is a manifesto that intersects science and politics. It urges those interested in science to examine two different but related topics: scientific uncertainty in measurement—what it is, how it is determined, why it’s important— and the magnification of uncertainty through legal and linguistic tactics used by right-wing politicians and politically supported corporations.

For some time now, the Republican Establishment has cast excessive doubt on scientific findings through …

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 …

Data Rights For Workers, Pauline Kim, Rachel Leavitt

Scholarship@WashULaw

Workers are subject to immense amounts of data collection on the job, and the algorithmic management tools built with that data can produce negative effects, including deskilling jobs, unstable work hours, reduced wages, and dangerous and degrading working conditions. Workers thus have significant interests how their data are collected and used, and yet they have been excluded from nearly all the recently enacted or proposed data protection laws. Their exclusion stems from data protection’s roots in privacy law and theory, which primarily focused on consumers as data subjects. Current data protection laws, even if expanded to cover workers, would provide …

Uncorrected, Janet Freilich, W. Nicholson Price Ii

Faculty Scholarship

In addition to making rules and deciding outcomes, the legal system generates, curates and shares information. When the system gets rules and outcomes wrong, it is obviously a problem, and much effort (and scholarly attention) goes into identifying those mistakes and fixing them. But the system also gets information wrong; a problem mostly overlooked by policymakers and scholars. Those information mistakes matter too: they are prevalent and harmful. We show here that even when the mistakes are widely known and the errors broadly acknowledged, the information very often goes uncorrected. As a result, people make decisions based on bad information …

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 …

Data As Policy, Janet Freilich, W. Nicholson Price Ii

Faculty Scholarship

A large literature on regulation highlights the many different methods of policy-making: command-and-control rulemaking, informational disclosures, tort liability, taxes, and more. But the literature overlooks a powerful method to achieve policy objectives: data. The state can provide (or suppress) data as a regulatory tool to solve policy problems. For administrations with expansive views of government’s purpose, government-provided data can serve as infrastructure for innovation and push innovation in socially desirable directions; for administrations with deregulatory ambitions, suppressing or choosing not to collect data can reduce regulatory power or serve as a back-door mechanism to subvert statutory or common law rules. …

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. …

Social Data's Role In Law And Political Economy, Salome Viljoen

Book Chapters

Over the past several years, the digital economy has been a notable uptick in interest from scholars across areas of law. This should come as no surprise. The digital economy encompasses some of the largest companies in the world, whose business models pioneer and spread new strategies to concentrate private power across the political economy more broadly. Digital companies have transformed commercial and social life, and they raise problems of concentrated private power. They are also charged with a slew of downstream disruptions resulting from collective pursuit of that power: global, social, and interpersonal forms of dislocation, oppression, impoverishment, alienation, …

Law As A Lamp Post, Janet Freilich

Faculty Scholarship

Law produces all manner of public information: court documents, securities filings, patents, property records, and much more. This information is used in a multitude of ways—it teaches readers about individual cases, transactions, or entities, and is also aggregated to inform policymaking, set priorities, and drive predictive analytics and artificial intelligence.

But choices about the information produced (or hidden) by law are often unintentional. Doctrines and institutions that appear facially unrelated to information production—like subject matter jurisdiction—nonetheless affect the shape and quantity of data produced. And even doctrines focused on information— like property recordation—create data used for purposes never envisioned by …

Consumer Agents, Rory Van Loo

Faculty Scholarship

In the twenty-first century economy, individuals need market help that they are not getting. The technology has long existed for a browser plug-in that would filter out toxic social media content or a virtual shopping assistant that would find and even purchase the best deals online without having to go to many different websites and product pages. Yet tech platforms have used lawsuits and data control to stifle such tools. The lack of digital helpers has potentially profound consequences. Social media use is linked to alarming increases in teenage depression and anxiety. Businesses’ ability to manipulate consumers into paying higher …

Adding A Data Disclosure Requirement To The Faa: An Overdue Reform, Richard Frankel

American University Business Law Review

Artificial intelligence (AI) and predictive analytics are transforming almost every sector of society. The field of dispute resolution is no exception to this trend. Lawyers in emerging disputes are hungry for data about arbitrators and judges, prior decisions, similar disputes, and anything else they can get their hands on.

The Promise And Perils Of Tech Whistleblowing, Hannah Bloch-Wehba

Northwestern University Law Review

Whistleblowers and leakers wield significant influence in technology law and policy. On topics ranging from cybersecurity to free speech, tech whistleblowers spur congressional hearings, motivate the introduction of legislation, and animate critical press coverage of tech firms. But while scholars and policymakers have long called for transparency and accountability in the tech sector, they have overlooked the significance of individual disclosures by industry insiders—workers, employees, and volunteers—who leak information that firms would prefer to keep private.

This Article offers an account of the rise and influence of tech whistleblowing. Radical information asymmetries pervade tech law and policy. Firms exercise near-complete …

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 …

Targeting Children: Liability For Algorithmic Recommendations, Michal Lavi

American University Law Review

We live in the algorithmic society, characterized by massive digital surveillance and data collection by private companies exploiting human information vulnerabilities for profit. The infrastructure of free expression translates into an infrastructure of digital surveillance. This model, dubbed “surveillance capitalism,” includes massive personalized algorithmic targeting that departs from human speakers, allowing a level of influence never witnessed before in scale, scope, or depth.

Personalized targeting can garner many benefits, as it allows individuals to find content that interests them without needing to invest energy in seeking out that content. However, personalized targeting can also cause tremendous harm because it can …

Data In Business & Society, Tabrez Y. Ebrahim

Lewis & Clark Law Review

Data, it is sometimes said, is the world’s new oil. Unlike the days when information was transmitted in print form, data is transmitted at the touch of a fingertip through the click of a mouse or a push of an icon on a phone app. Algorithms and computing systems have drastically expanded the scope, speed, and volume of access and use of data for consumers. Additionally, businesses, in variety of forms, including business-to-business, business-to-consumer, online, and even brick-and-mortar, have employed data to interact with other businesses and with consumers. Data has drastically expanded in use throughout business and society, and …

Against Engagement, Neil Richards, Woodrow Hartzog

Faculty Scholarship

In this Article, we focus on a key dimension of commercial surveillance by data-intensive digital platforms that is too often treated as a supporting cast member instead of a star of the show: the concept of engagement. Engagement is, simply put, a measure of time, attention, and other interactions with a service. The economic logic of engagement is simple: more engagement equals more ads watched equals more revenue. Engagement is a lucrative digital business model, but it is problematic in several ways that lurk beneath the happy sloganeering of a “free” internet

Our goal in this Article is to isolate …

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 …

Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …

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

Catholic University Journal of Law and Technology

No abstract provided.

Data Property, James Grimmelmann, Christina Mulligan

American University Law Review

In this, the Information Age, people and businesses depend on data. From your family photos to Google’s search index, data has become one of society’s most important resources. But there is a gaping hole in the law’s treatment of data. If someone destroys your car, they have committed the tort of conversion, and the law gives a remedy. But if someone deletes your data, it is far from clear that they have done you a legally actionable wrong. If you are lucky, and the data was stored on your own computer, you may be able to sue them for trespass …

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 …

Taking It With You: Platform Barriers To Entry And The Limits Of Data Portability, Gabriel Nicholas

Michigan Technology Law Review

Policymakers are faced with a vexing problem: how to increase competition in a tech sector dominated by a few giants. One answer proposed and adopted by regulators in the United States and abroad is to require large platforms to allow consumers to move their data from one platform to another, an approach known as data portability. Facebook, Google, Apple, and other major tech companies have enthusiastically supported data portability through their own technical and political initiatives. Today, data portability has taken hold as one of the go-to solutions to address the tech industry’s competition concerns.

This Article argues that despite …

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.

Georgia’S Approach To Proportionality And Sanctions For The Spoliation Of Electronically Stored Information, Matthew Daigle

Georgia State University Law Review

The rapid evolution and implementation of technology in society has resulted in the increasing use of data as evidence in court. While the scope of discovery is limited by, among other things, the burden imposed on the producing party, the sheer magnitude of electronic evidence compared to its physical counterpart necessitates a different framework for evaluating such a burden. Without limiting factors, the discoverability of electronically stored information (ESI) exposes producing parties to liability disproportionate to the value of a case. While the Federal Rules of Civil Procedure have evolved to address the discovery of ESI, the Georgia Civil Practice …

Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim

Faculty Scholarship

The shift towards the use of algorithms in business has transformed merchant–consumer interactions. Products and services are increasingly tailored for consumers through algorithms that collect and analyze vast amounts of data from interconnected devices, digital platforms, and social networks. While traditionally merchants and marketeers have utilized market segmentation, customer demographic profiles, and statistical approaches, the exponential increase in consumer data and computing power enables them to develop and implement algorithmic techniques that change consumer markets and society as a whole. Algorithms enable targeting of consumers more effectively, in real-time, and with high predictive accuracy in pricing and profiling strategies. In …