Computer Law Commons^™

Ai Suppression: E-Discovery Software And Brady, Jason Hartline, Liren Shan, Alec Sun, Rebecca Wexler

Faculty Scholarship

Prosecutors regularly rely on AI e-discovery software, known as technology assisted review (TAR) tools, to sort and prioritize digital evidence. These tools implicate constitutional concerns: they can either risk suppressing or help to surface exculpatory and impeachment evidence that prosecutors must disclose under the Brady due process rule. Yet doctrine, agency guidance, and scholarship offer virtually no direction on their use.

This Article examines how TAR affects Brady compliance. Using computer science simulations on synthetic data sets, we show that TAR can either hide or help to expose Brady evidence, depending on how it is configured and the configurations of …

How Ai Destroys Institutions, Woodrow Hartzog, Jessica Silbey

Faculty Scholarship

Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies encourage cooperation and stability, while also adapting to changing circumstances. The real superpower of institutions is their ability to evolve and adapt within a hierarchy of authority and a framework for roles and rules, while maintaining legitimacy for the knowledge produced and the actions taken. Purpose-driven institutions built around transparency, cooperation, and accountability empower individuals to take intellectual risks and challenge the status quo. This happens through the machinations of interpersonal relationships within those institutions, which broaden …

Tokenized Real Estate: The Law And Tech Of Digital Deeds, Christopher K. Odinet, Andrea Tosato

Faculty Scholarship

The advent of blockchain technology has generated bold claims that non-fungible tokens (NFTs) can fundamentally transform real estate. Proponents assert that digital assets can tokenize real property interests: the concept of using digital tokens to represent ownership rights in physical property. Their goal is to allow buyers and sellers to transfer real estate through simple blockchain transactions, thereby eliminating traditional intermediaries, reducing costs, and accelerating deal velocity. This Essay provides the first comprehensive legal analysis examining whether American law actually supports such a direct tokenization of real estate rights.

Our investigation reveals a stark disconnect between technological capability and legal …

The Business Of Ai-Producing Startups: Evidence From A Worldwide Survey, James Bessen, Stephen Michael Impink, Robert Seamans

Faculty Scholarship

We report results from a multi-year, worldwide survey of artificial intelligence (AI)-producing startups to describe the types of technologies, frameworks, data protection, and partnerships nascent firms use to develop their AI products. Analyses of our survey findings also inform how startups gather the resources to commercialize their AI applications in alignment with their entrepreneurial strategies, address competitive barriers, and respond to regulations. These data provide initial evidence of the perceived impact of these products on their customers’ tasks and industries, suggesting that these firms’ AI products not only reduce labor costs but augment human capabilities.

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

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 …

The Complex Interplay Between Intellectual Property And The Right To Science, Peter K. Yu

Faculty Scholarship

In April 2020, the U.N. Committee on Economic, Social and Cultural Rights released General Comment No. 25, which provides an authoritative interpretation of the right to science—a right that has hitherto not received much attention. In light of this publication and the recent celebration of the 75th anniversary of the Universal Declaration of Human Rights, this article examines the complex interplay between intellectual property and the right to science, with a view toward the human rights challenges brought about by both the COVID-19 pandemic and the arrival of generative AI.

The article begins by documenting the historical evolution of the …

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 …

When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler

Faculty Scholarship

Computer science research sometimes brushes with the law, from red-team exercises that probe the boundaries of authentication mechanisms, to AI research processing copyrighted material, to platform research measuring the behavior of algorithms and users. U.S.-based computer security research is no stranger to the Computer Fraud and Abuse Act (CFAA) and the Digital Millennium Copyright Act (DMCA) in a relationship that is still evolving through case law, research practices, changing policies, and legislation

Amid the landscape computer scientists, lawyers, and policymakers have learned to navigate, anti-fraud laws are a surprisingly under-examined challenge for computer science research. Fraud brings separate issues that …

Gig Work At What Cost? Exploring Privacy Risks Of Gig Work Platform Participation In The U.S., Amogh Pradeep, Johanna Gunawan, Álvaro Feal, Woodrow Hartzog, David Choffnes

Faculty Scholarship

In recent years, "gig work" platforms have gained popularity as a way for individuals to earn money; as of 2021, 16% of Americans have at some point earned money from such platforms. Despite their popularity and their history of unfair data collection practices and worker safety, little is known about the data collected from workers (and users) by gig platforms and about the privacy dark pattern designs present in their apps.

This paper presents an empirical measurement of 16 gig work platforms' data practices in the U.S. We analyze what data is collected by these platforms, and how it is …

Normalizing Facial Recognition Technology And The End Of Obscurity, Woodrow Hartzog, Evan Selinger, Judy Hyojoo Rhee

Faculty Scholarship

This article argues that facial recognition technology is the most dangerous surveillance tool ever invented. Given the unique threats this morally suspect tool poses to privacy, civil liberties, human flourishing, and democracy, the only appropriate response is a ban. To justify our position, we explain why facial recognition is distinctive among biometrics, clarify how even seemingly benign and positive uses of the technology can trigger dangerous normalization dynamics, and pinpoint why current United States laws (with reverberations in the EU’s AI Act) are designed to accelerate a slippery slope that makes mass surveillance nearly inevitable. Our most fundamental contribution lies …

The Globalization Of Copyright Exceptions For Ai Training, Matthew Sag, Peter K. Yu

Faculty Scholarship

Generative AI, machine learning and other computational uses of copyrighted works pose profound questions for copyright law. This article conducts of global survey of how different countries have attempted to answer these questions in relation to the unauthorized use of copyrighted works for training. Although the world has yet to achieve international consensus on this issue, an international equilibrium is emerging. Jurisdictions with common law and civil law traditions, and with varying economic conditions, technological capabilities, political systems, and cultural backgrounds, have found ways to reconcile copyright law and AI training. In this equilibrium, countries recognize that text data mining, …

Foundations For Platform Liability, Kathryn E. Spier, Rory Van Loo

Faculty Scholarship

From spreading misinformation to selling deadly products, bad actors use technology platforms to their advantage while causing devastating harms to privacy, health, and even democracy. Despite their central role in enabling these bad actors, the platforms almost entirely escape liability. This legal immunity is purportedly grounded in economics. From the beginning, courts and legislatures feared that liability would chill innovation, growth, and user access. They also speculated that platforms have sufficient market incentives to voluntarily police bad actors, making liability unnecessary.

Whereas many scholars have argued that platform immunity is blind to justice, this Article shows that it is also …

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 …

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. …

Orthogonalizing Inputs, Talia B. Gillis

Faculty Scholarship

This paper examines an approach to algorithmic discrimination that seeks to blind predictions to protected characteristics by orthogonalizing inputs. The approach uses protected characteristics (such as race or sex) during the training phase of a model but masks these during deployment. The approach posits that including these characteristics in training prevents correlated features from acting as proxies, while assigning uniform values to them at deployment ensures decisions do not vary by group status.

Using a prediction exercise of loan defaults basedon mortgage HMDA data and German credit data, the paper highlights the limitations of this orthogonalization strategy. Applying a lasso …

Kafka In The Age Of Ai And The Futility Of Privacy As Control, Daniel Solove, Woodrow Hartzog

Faculty Scholarship

Despite writing more than a century ago, Franz Kafka captured the core problem of digital technologies—how individuals are rendered powerless and vulnerable. Over the past fifty years, and especially in the twenty-first century, privacy laws have been sprouting up around the world. These laws are often based heavily on an Individual Control Model that aims to empower individuals with rights to help them control the collection, use, and disclosure of their data.

In this Article, we argue that although Kafka starkly shows us the plight of the disempowered individual, his work also paradoxically suggests that empowering the individual isn’t the …

After Ftx: Can The Original Bitcoin Use Case Be Saved?, Mark Burge

Faculty Scholarship

Bitcoin and the other cryptocurrencies spawned by the innovation of blockchain programming have exploded in prominence, both in gains of massive market value and in dramatic market losses, the latter most notably seen in connection with the failure of the FTX cryptocurrency exchange in November 2022. After years of investment and speculation, however, something crucial has faded: the original use case for Bitcoin as a system of payment. Can cryptocurrency-as-a-payment-system be saved, or are day traders and speculators the actual cryptocurrency future? This article suggests that cryptocurrency has been hobbled by a lack of foundational commercial and consumer-protection law that …

Confidentiality Clauses In Settlement Agreements After The Consumer Review Fairness Act, Wayne Barnes

Faculty Scholarship

Online commerce has skyrocketed in recent years, and shoppers are purchasing goods or services online in greater numbers every year. The COVID-19 pandemic has only hastened the trend. One significant aspect of online shopping is the presence of consumer reviews posted by prior purchasers of goods or services, describing their experience with the products, the services and/or the selling merchant. A vast majority of online shoppers say that they rely on these reviews to help inform their purchasing decisions. Positive reviews can be tremendously beneficial to a business’ profitability, whereas negative reviews can be equally detrimental. Users of the internet …

The Common Law Inside Social Media, Anita Bernstein

Faculty Scholarship

No abstract provided.

Mass E-Carceration: Electronic Monitoring As A Bail Condition, Sara Zampierin

Faculty Scholarship

Over the past decade, the immigration and criminal legal systems have increasingly relied on electronic monitoring as a bail condition; hundreds of thousands of people live under this monitoring on any given day. Decisionmakers purport to impose these conditions to release more individuals from detention and to maintain control over individuals they perceive to pose some risk of flight or to public safety. But the data do not show that electronic monitoring successfully mitigates these risks or that it leads to fewer individuals in detention. Electronic monitoring also comes with severe restrictions on individual liberty and leads to harmful effects …

Digital Privacy For Reproductive Choice In The Post-Roe Era, Aziz Z. Huq, Rebecca Wexler

Faculty Scholarship

The overruling of Roe v. Wade has unleashed a torrent of regulatory and punitive activity restricting previously lawful reproductive options. But the turn to the expansive criminal law and new schemes of civil liability creates novel concerns, quite distinct from the pre-Roe landscape a half-century ago. Reproductive choice, and its nemesis, turn upon information. For pregnant people, deciding on a choice of medical care entails a search for advice and services. Information is at a pre­mium for them. Meanwhile, efforts to regulate abortion began with clinic closings. But they will quickly extend to civil actions and criminal indictments of patients, …

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, …

Can Machines Commit Crimes Under Us Antitrust Laws?, Aslihan Asil, Thomas Wollmann

Faculty Scholarship

Generative artificial intelligence is being rapidly deployed for corporate tasks including pricing. Suppose one of these machines communicates with the pricing manager of a competing firm, proposes to collude, receives assent, and raises price. Is this a crime under U.S. antitrust laws, and, if so, who is liable? Based on the observed behavior of the most widely adopted large language model, we argue that this conduct is imminent, satisfies the requirements for agreement and intent under Section 1 of the Sherman Act, and could confer criminal liability to both firms as well as the pricing manager of the competing firm.

The Failure Of Market Efficiency, William Magnuson

Faculty Scholarship

Recent years have witnessed the near total triumph of market efficiency as a regulatory goal. Policymakers regularly proclaim their devotion to ensuring efficient capital markets. Courts use market efficiency as a guiding light for crafting legal doctrine. And scholars have explored in great depth the mechanisms of market efficiency and the role of law in promoting it. There is strong evidence that, at least on some metrics, our capital markets are indeed more efficient than they have ever been. But the pursuit of efficiency has come at a cost. By focusing our attention narrowly on economic efficiency concerns—such as competition, …

Life, Liberty, And Data Privacy: The Global Cloud, The Criminally Accused, And Executive Versus Judicial Compulsory Process Powers, Rebecca Wexler

Faculty Scholarship

U.S. policymakers’ responses to a wave of global data privacy laws are creating a deep structural unfairness in the criminal legal system. In an era of cloud computing, when data about communications and activities occurring anywhere in the world can be stored on servers located anywhere else, access to such data can make the difference between convictions and acquittals. At the same time, new global data privacy laws risk cutting off cross-border access to digital evidence in criminal investigations. Recognizing the threat to law enforcement interests, U.S. policymakers enacted the CLOUD Act of 2018 to create special procedures for law …

Bridging The Computer Science – Law Divide, Azer Bestavros, Stacey Dogan, Paul Ohm, Andrew Sellars

Faculty Scholarship

Many pressing societal questions can be answered only by bringing experts from different disciplines together. Questions around misinformation and disinformation, platform power, surveillance capitalism, information privacy, and algorithmic bias, among many others, reside at the intersection of computer science and law. We need to develop institutions that bring together computer scientists and legal scholars to work together on issues like these, and to train new innovators, thought leaders, counselors, and policymakers with hybrid training in both disciplines. In Universities, the disciplines of Computer Science (CS) and Law are separated by many wide chasms. Differences in standards, language, methods, and culture …

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 …