Computer Law Commons^™

Algorithmic Governance From The Bottom Up, Hannah Bloch-Wehba

Faculty Scholarship

Artificial intelligence and machine learning are both a blessing and a curse for governance. In theory, algorithmic governance makes government more efficient, more accurate, and more fair. But the emergence of automation in governance also rests on public-private collaborations that expand both public and private power, aggravate transparency and accountability gaps, and create significant obstacles for those seeking algorithmic justice. In response, a nascent body of law proposes technocratic policy changes to foster algorithmic accountability, ethics, and transparency.

This Article examines an alternative vision of algorithmic governance, one advanced primarily by social and labor movements instead of technocrats and firms. …

Content Moderation As Surveillance, Hannah Bloch-Wehba

Faculty Scholarship

Technology platforms are the new governments, and content moderation is the new law, or so goes a common refrain. As platforms increasingly turn toward new, automated mechanisms of enforcing their rules, the apparent power of the private sector seems only to grow. Yet beneath the surface lies a web of complex relationships between public and private authorities that call into question whether platforms truly possess such unilateral power. Law enforcement and police are exerting influence over platform content rules, giving governments a louder voice in supposedly “private” decisions. At the same time, law enforcement avails itself of the affordances of …

Educating Robot-Proof Attorneys, Tammy Oltz

Faculty Scholarship

Technology, particularly that powered by Artificial Intelligence (AI), is disrupting the legal profession. In the coming years, lawyers who do not understand technology will face both ethical and professional risks. This year, the duty of technological competence marks its tenth anniversary. While lawyers are still learning what the duty means and what it will mean in the future, one thing is certain: those who ignore it could find themselves at risk of being on the wrong side of an ethics violation.

However, even without that regulatory obligation, lawyers who continue to ignore the current technological revolution put themselves at risk …

Using Zero-Knowledge To Reconcile Law Enforcement Secrecy And Fair Trial Rights In Criminal Cases, Dor Bitan, Ron Canetti, Shafi Goldwasser, Rebecca Wexler

Faculty Scholarship

The use of hidden investigative software to collect evidence of crimes presents courts with a recurring dilemma: On the one hand, there is often clear public interest in keeping the software hidden to preserve its effectiveness in fighting crimes. On the other hand, criminal defendants have rights to inspect and challenge the full evidence against them, including law enforcement's investigative methods. In fact, in the U.S. adversarial legal system, the defendant's rights to scrutinize the government's tools are crucial to the truth-seeking process and to keeping law enforcement conduct lawful and constitutional. Presently, courts balance these conflicting interests on a …

Adversarial Scrutiny Of Evidentiary Statistical Software, Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler

Faculty Scholarship

The U.S. criminal legal system increasingly relies on software output to convict and incarcerate people. In a large number of cases each year, the government makes these consequential decisions based on evidence from statistical software — such as probabilistic genotyping, environmental audio detection and toolmark analysis tools — that the defense counsel cannot fully cross-examine or scrutinize. This undermines the commitments of the adversarial criminal legal system, which relies on the defense’s ability to probe and test the prosecution’s case to safeguard individual rights.

Responding to this need to adversarially scrutinize output from such software, we propose robust adversarial testing …

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 …

Transparency's Ai Problem, Hannah Bloch-Wehba

Faculty Scholarship

A consensus seems to be emerging that algorithmic governance is too opaque and ought to be made more accountable and transparent. But algorithmic governance underscores the limited capacity of transparency law—the Freedom of Information Act and its state equivalents—to promote accountability. Drawing on the critical literature on “open government,” this Essay shows that algorithmic governance reflects and amplifies systemic weaknesses in the transparency regime, including privatization, secrecy, private sector cooptation, and reactive disclosure. These deficiencies highlight the urgent need to reorient transparency and accountability law toward meaningful public engagement in ongoing oversight. This shift requires rethinking FOIA’s core commitment to …

A Unified Theory Of Data, William Magnuson

Faculty Scholarship

How does the proliferation of data in our modern economy affect our legal system? Scholars that have addressed the question have nearly universally agreed that the dramatic increases in the amount of data available to companies, as well as the new uses to which that data is being put, raise fundamental problems for our regulatory structures. But just what those problems might be remains an area of deep disagreement. Some argue that the problem with data is that current uses lead to discriminatory results that harm minority groups. Some argue that the problem with data is that it impinges on …

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

Faculty Scholarship

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.

But these machine-learning tools are often as opaque as the underlying systems, whether because they are complex, nonintuitive, deliberately kept secret, or a synergistic combination of those three factors. A burgeoning literature addresses challenges arising from the opacity of machine-learning systems. This literature has largely focused on …

Privacy As Privilege: The Stored Communications Act And Internet Evidence, Rebecca Wexler

Faculty Scholarship

This Article exposes a profound and growing injustice that major technology companies have propagated through every level of the judiciary under the guise of protecting data privacy. The Supreme Court has repeatedly proclaimed: “In our judicial system, the public has a right to every [person’s] evidence.” Yet, for over a decade, Facebook, GitHub, Google, Instagram, Microsoft, and Twitter have leveraged the Stored Communications Act (SCA) — a key data privacy law for the internet — to bar criminal defendants from subpoenaing the contents of another’s online communications, even when those communications could exonerate the wrongfully accused. Every appellate court to …

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 …

The Use Of Technical Experts In Software Copyright Cases: Rectifying The Ninth Circuit’S “Nutty” Rule, Shyamkrishna Balganesh, Peter S. Menell

Faculty Scholarship

Courts have long been skeptical about the use of expert witnesses in copyright cases. More than four decades ago, and before Congress extended copyright law to protect computer software, the Ninth Circuit in Krofft Television Productions, Inc. v. McDonald’s Corp. ruled that expert testimony was inadmissible to determine whether Mayor McCheese and the merry band of McDonald’s characters infringed copyright protection for Wilhelmina W. Witchiepoo and the other imaginative H.R. Pufnstuf costumed characters. Since the emergence of software copyright infringement cases in the 1980s, substantially all software copyright cases have permitted expert witnesses to aid juries in understanding software code. …

Privacy Asymmetries: Access To Data In Criminal Defense Investigations, Rebecca Wexler

Faculty Scholarship

This Article introduces the phenomenon of “privacy asymmetries,” which are privacy statutes that permit courts to order disclosures of sensitive information when requested by law enforcement but not when requested by criminal defense counsel. In the U.S. adversarial criminal legal system, defense counsel are the sole actors tasked with investigating evidence of innocence. Law enforcement has no constitutional, statutory, or formal ethical duty to seek out evidence of innocence. Therefore, statutes that selectively suppress defense investigations selectively suppress evidence of innocence. Privacy asymmetries form a recurring, albeit previously unrecognized, pattern in privacy statutes. They likely arise from legislative oversight and …

Artificial Financial Intelligence, William Magnuson

Faculty Scholarship

Recent advances in the field of artificial intelligence have revived long-standing debates about what happens when robots become smarter than humans. Will they destroy us? Will they put us all out of work? Will they lead to a world of techno-savvy haves and techno-ignorant have-nots? These debates have found particular resonance in finance, where computers already play a dominant role. High-frequency traders, quant hedge funds, and robo-advisors all represent, to a greater or lesser degree, real-world instantiations of the impact that artificial intelligence is having on the field. This Article will argue that the primary danger of artificial intelligence in …

The Algorithmic Divide And Equality In The Age Of Artificial Intelligence, Peter K. Yu

Faculty Scholarship

In the age of artificial intelligence, highly sophisticated algorithms have been deployed to provide analysis, detect patterns, optimize solutions, accelerate operations, facilitate self-learning, minimize human errors and biases and foster improvements in technological products and services. Notwithstanding these tremendous benefits, algorithms and intelligent machines do not provide equal benefits to all. Just as the digital divide has separated those with access to the Internet, information technology and digital content from those without, an emerging and ever-widening algorithmic divide now threatens to take away the many political, social, economic, cultural, educational and career opportunities provided by machine learning and artificial intelligence. …

National Cybersecurity Innovation, Tabrez Y. Ebrahim

Faculty Scholarship

National cybersecurity plays a crucial role in protecting our critical infrastructure, such as telecommunication networks, the electricity grid, and even financial transactions. Most discussions about promoting national cybersecurity focus on governance structures, international relations, and political science. In contrast, this Article proposes a different agenda and one that promotes the use of innovation mechanisms for technological advancement. By promoting inducements for technological developments, such innovation mechanisms encourage the advancement of national cybersecurity solutions. In exploring possible solutions, this Article asks whether the government or markets can provide national cybersecurity innovation. This inquiry is a fragment of a much larger literature …

Artificial Intelligence Inventions & Patent Disclosure, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial intelligence (“AI”) has attracted significant attention and has imposed challenges for society. Yet surprisingly, scholars have paid little attention to the impediments AI imposes on patent law’s disclosure function from the lenses of theory and policy. Patents are conditioned on inventors describing their inventions, but the inner workings and the use of AI in the inventive process are not properly understood or are largely unknown. The lack of transparency of the parameters of the AI inventive process or the use of AI makes it difficult to enable a future use of AI to achieve the same end state. While …

Cyberattacks And The Constitution, Matthew C. Waxman

Faculty Scholarship

Contrary to popular view, cyberattacks alone are rarely exercises of constitutional war powers – and they might never be. They are often instead best understood as exercises of other powers pertaining to nonwar military, foreign affairs, intelligence, and foreign commerce, for example. Although this more fine-grained, fact-specific conception of cyberattacks leaves room for broad executive leeway in some contexts, it also contains a strong constitutional basis for legislative regulation of cyber operations.

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 …

Will Artificial Intelligence Eat The Law? The Rise Of Hybrid Social-Ordering Systems, Tim Wu

Faculty Scholarship

Software has partially or fully displaced many former human activities, such as catching speeders or flying airplanes, and proven itself able to surpass humans in certain contests, like Chess and Jeopardy. What are the prospects for the displacement of human courts as the centerpiece of legal decision-making? Based on the case study of hate speech control on major tech platforms, particularly on Twitter and Facebook, this Essay suggests displacement of human courts remains a distant prospect, but suggests that hybrid machine – human systems are the predictable future of legal adjudication, and that there lies some hope in that combination, …

Authors And Machines, Jane C. Ginsburg, Luke Ali Budiardjo

Faculty Scholarship

Machines, by providing the means of mass production of works of authorship, engendered copyright law. Throughout history, the emergence of new technologies tested the concept of authorship, and courts in response endeavored to clarify copyright’s foundational principles. Today, developments in computer science have created a new form of machine, the “artificially intelligent” (AI) system apparently endowed with “computational creativity.” AI systems introduce challenging variations on the perennial question of what makes one an “author” in copyright law: Is the creator of a generative program automatically the author of the works her process begets, even if she cannot anticipate the contents …

A Skeptical View Of Information Fiduciaries, Lina M. Khan, David E. Pozen

Faculty Scholarship

The concept of “information fiduciaries” has surged to the forefront of debates on online-platform regulation. Developed by Professor Jack Balkin, the concept is meant to rebalance the relationship between ordinary individuals and the digital companies that accumulate, analyze, and sell their personal data for profit. Just as the law imposes special duties of care, confidentiality, and loyalty on doctors, lawyers, and accountants vis-à-vis their patients and clients, Balkin argues, so too should it impose special duties on corporations such as Facebook, Google, and Twitter vis-à-vis their end users. Over the past several years, this argument has garnered remarkably broad support …

Data Generated By New Technologies And The Law: A Guide For Massachusetts Practitioners, Andrew Sellars

Faculty Scholarship

This brief paper, created as part of a training on new technologies and evidence for MCLE New England, outlines the standards used to compel disclosure of information under the Stored Communication Act, and reviews the types of data stored on various consumer devices and their likely custodians, as well as cases and notes relevant to each devices. The paper serves as a quick introduction and checklist for those considering gathering information from these devices in the course of investigations in Massachusetts. The devices outlined include cell phones, social media platforms, secure messaging services, fitness trackers, home assistant devices (or "smart …

Taxing & Zapping Marijuana: Blockchain Compliance In The Trump Administration Part 3, Richard Thompson Ainsworth, Brendan Magauran

Faculty Scholarship

This is the third of a five-part series dealing with the rescission by U.S. Attorney General Jeff Sessions of the Obama-era policy that discouraged federal prosecutors from bringing charges in all but the most serious marijuana cases.

This article focuses on cyber-attacks on the main commercial chain, and the use of a private blockchain using HyperLedger Fabric as a platform.

This fraud is a direct, criminal attack; an attack designed to destroy/corrupt records of marijuana inventory and plant tags throughout the supply chain. The attack allows legalized marijuana to escape the system and be sold on the black market. A …

Fighting Technology With Technology: Taking Aim At Electronic Sales Suppression, Richard Thompson Ainsworth, Robert Chicoine

Faculty Scholarship

Electronic sales suppression (ESS) is a fraud that has been a (prominent) feature of the North American retail business since at least 1996. The first EES case in the US dates from 1981. ESS is a global problem. Depending on the jurisdiction, and the research study consulted, ESS is estimated to be present in 34% (of Canadian), 50% (of German – two studies), and 70% (of Swedish and Slovenian) businesses. It may be the case today, that “you cannot leave home without” encountering (or participating in) ESS.

The most common types of sales suppression technology are Zappers and Phantomware programming. …

Twenty Years Of Web Scraping And The Computer Fraud And Abuse Act, Andrew Sellars

Faculty Scholarship

"Web scraping" is a ubiquitous technique for extracting data from the World Wide Web, done through a computer script that will send tailored queries to websites to retrieve specific pieces of content. The technique has proliferated under the ever-expanding shadow of the Computer Fraud and Abuse Act (CFAA), which, among other things, prohibits obtaining information from a computer by accessing the computer without authorization or exceeding one's authorized access.

Unsurprisingly, many litigants have now turned to the CFAA in attempt to police against unwanted web scraping. Yet despite the rise in both web scraping and lawsuits about web scraping, practical …

Promoting International Cybersecurity Cooperation: Lessons From The Proliferation Security Initiative, Duncan B. Hollis, Matthew C. Waxman

Faculty Scholarship

Global efforts by states to cooperate through international rules in combating cyber threats have generated mixed results, at best. In this paper, we examine the architecture of the Proliferation Security Initiative (PSI) as a possible model for future cybersecurity cooperation among interested states. We identify several features of PSI’s architecture (rather than its substantive focus on non-proliferation) for further analysis, including PSI’s low entry costs, tiered structure, and flexibility, as well as its leveraging of both territorial jurisdiction and state consent. We conclude that, despite several hurdles visible in the scope of its membership and its legal framework, PSI still …

Interpretation Catalysts In Cyberspace, Rebecca Ingber

Faculty Scholarship

The cybersphere offers a rich space from which to explore the development of international law in a compressed time frame. This piece examines the soft law process over the last decade of the two Tallinn Manuals – handbooks on the international law of cyber warfare and cyber operations – as a valuable lens through which to witness the effects of “interpretation catalysts” on the evolution of international law. In prior work, I identified the concept of interpretation catalysts – discrete triggers for legal interpretation – and their influence on the path that legal evolution takes, including by compelling a decision-making …

Blockchain, Bitcoin, And Vat In The Gcc: The Missing Trader Example, Richard Thompson Ainsworth, Musaad Alwohaibi

Faculty Scholarship

Blockchain is coming to tax administration and will cause fundamental change. This article considers the potential for blockchain technology as it applies to the introduction of a value added tax in the Gulf Cooperation Council.

Blockchain technology disrupts centralized ledgers. Blockchain improves efficiency, security and transparency. Perhaps no centralized ledger system presents more challenges than that of the modern tax administration. The central data storage system of a modern tax authority contains all return, payment, and audit activity for all taxpayers arranged tax-by-tax for three years or longer periods of time.

It is likely that blockchain will come first to …