Law Commons^™

Chapter 16: Revisioning Algorithms As A Black Feminist Project, Ngozi Okidegbe

Faculty Scholarship

We live in an age of predictive algorithms.¹ Jurisdictions across the country are utilizing algorithms to make or influence life-altering decisions in a host of governmental decision-making processes—criminal justice, education, and social assistance to name a few.² One justification given for this algorithmic turn concerns redressing historical and current inequalities within governmental decision-making.³ The hope is that the predictions produced by these predictive systems can correct this problem by providing decision-makers with the information needed to make fairer, more accurate, and consistent decisions.⁴ For instance, jurisdictions claim that their turn to risk assessment algorithms in bail, …

Privacy Nicks: How The Law Normalizes Surveillance, Woodrow Hartzog, Evan Selinger, Johanna Gunawan

Faculty Scholarship

Privacy law is failing to protect individuals from being watched and exposed, despite stronger surveillance and data protection rules. The problem is that our rules look to social norms to set thresholds for privacy violations, but people can get used to being observed. In this article, we argue that by ignoring de minimis privacy encroachments, the law is complicit in normalizing surveillance. Privacy law helps acclimate people to being watched by ignoring smaller, more frequent, and more mundane privacy diminutions. We call these reductions “privacy nicks,” like the proverbial “thousand cuts” that lead to death.

Privacy nicks come from the …

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 …

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 …

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 …

Competition And Innovation: The Breakup Of Ig Farben, Felix Poege

Faculty Scholarship

The relationship between competition and innovation is difficult to disentangle, as exogenous variation in market structure is rare. The 1952 breakup of Germany’s leading chemical company, IG Farben, represents such a disruption. After the Second World War, the Allies occupying Germany imposed the breakup because of IG Farben’s importance for the German war economy instead of standard antitrust concerns. In technology areas where the breakup reduced concentration, patenting increased strongly, driven by domestic firms unrelated to IG Farben. An analysis of patent texts shows that an increased propensity to patent does not drive the effect. Descriptively, IG Farben’s successors increased …

Bias And Biometrics: Regulating Corporate Responsibility And New Technologies To Protect Rights, Erika George

Faculty Scholarship

A growing body of literature has documented the ways in which algorithms and new technology are being deployed in ways that discriminate and violate human rights. The regulatory environment is still evolving, but not as rapidly as new technologies are being introduced by private corporations and implemented in public settings. Governments are using AI in immigration and asylum determinations and law enforcement, arenas where racism and xenophobia can often arise. In the aftermath of the racial justice uprisings following the murder of George Floyd, some technology firms pledged to reconsider providing surveillance technology to police without protections in place. This …

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 …

Federal Rules Of Platform Procedure, Rory Van Loo

Faculty Scholarship

Tech platforms serve as private courthouses for disputes about speech, lodging, commerce, elections, and reputation. After receiving allegations of defamatory content in top search results, Google must decide between protecting one person's public image and another's profits or speech. Amazon adjudicates disputes between consumers and third-party merchants about defective or counterfeit items. For many small businesses, layoffs and bankruptcy hang in the balance. This Article begins to uncover the processes that these platforms use to resolve disputes and proposes reforms. Other important businesses that intermediate, such as credit card companies ruling on a disputed charge between a merchant and consumer, …

Privacy In Pandemic: Law, Technology, And Public Health In The Covid-19 Crisis, Tiffany Li

Faculty Scholarship

The COVID-19 pandemic has caused millions of deaths and disastrous consequences around the world, with lasting repercussions for every field of law, including privacy and technology. The unique characteristics of this pandemic have precipitated an increase in use of new technologies, including remote communications platforms, healthcare robots, and medical AI. Public and private actors are using new technologies, like heat sensing, and technologically-influenced programs, like contact tracing, alike in response, leading to a rise in government and corporate surveillance in sectors like healthcare, employment, education, and commerce. Advocates have raised the alarm for privacy and civil liberties violations, but the …

Gdpr And The Importance Of Data To Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

What is the impact of the European Union’s General Data Protection Regime (“GDPR”) and data regulation on AI startups? How important is data to AI product development? We study these questions using unique survey data of commercial AI startups. AI startups rely on data for their product development. Given the scale and scope of their business models, these startups are particularly susceptible to policy changes impacting data collection, storage and use. We find that training data and frequent model refreshes are particularly important for AI startups that rely on neural nets and ensemble learning algorithms. We also find that firms …

Digital Market Perfection, Rory Van Loo

Faculty Scholarship

Google’s, Apple’s, and other companies’ automated assistants are increasingly serving as personal shoppers. These digital intermediaries will save us time by purchasing grocery items, transferring bank accounts, and subscribing to cable. The literature has only begun to hint at the paradigm shift needed to navigate the legal risks and rewards of this coming era of automated commerce. This Article begins to fill that gap first by surveying legal battles related to contract exit, data access, and deception that will determine the extent to which automated assistants are able to help consumers to search and switch, potentially bringing tremendous societal benefits. …

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 …

The Business Of Ai Startups, James Bessen, Stephen Michael Impink, Robert Seamans, Lydia Reichensperger

Faculty Scholarship

New machine learning techniques have led to an acceleration of “artificial intelligence” (AI). Numerous papers have projected substantial job losses based on assessments of technical feasibility. But what is the actual impact? This paper reports on a survey of commercial AI startups, documenting rich detail about their businesses and their impacts on their customers. These firms report benefits of AI that are more often about enhancing human capabilities than replacing them. Their applications more often increase professional, managerial, and marketing jobs and decrease manual, clerical, and frontline service jobs. These startups sell to firms of different sizes, in different industries …

Humans Forget, Machines Remember: Artificial Intelligence And The Right To Be Forgotten, Tiffany Li, Eduard Fosch Villaronga, Peter Kieseberg

Faculty Scholarship

To understand the Right to be Forgotten in context of artificial intelligence, it is necessary to first delve into an overview of the concepts of human and AI memory and forgetting. Our current law appears to treat human and machine memory alike – supporting a fictitious understanding of memory and forgetting that does not comport with reality. (Some authors have already highlighted the concerns on the perfect remembering.) This Article will examine the problem of AI memory and the Right to be Forgotten, using this example as a model for understanding the failures of current privacy law to reflect the …

How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen

Faculty Scholarship

This paper investigates basic relationships between technology and occupations. Building a general occupational model, I look at detailed occupations since 1980 to explore whether computers are related to job losses or other sources of wage inequality. Occupations that use computers grow faster, not slower. This is true even for highly routine and mid-wage occupations. Estimates reject computers as a source of significant net technological unemployment or job polarization. But computerized occupations substitute for other occupations, shifting employment and requiring new skills. Because new skills are costly to learn, computer use is associated with substantially greater within-occupation wage inequality.

The Anti-Innovators: How Special Interests Undermine Entrepreneurship, James Bessen

Faculty Scholarship

For much of the last century, the United States led the world in technological innovation-a position it owed in part to well-designed procurement programs at the Defense Department and NASA. During the 1940s, for example, the Pentagon funded the construction of the first general-purpose computer, designed initially to calculate artillery-firing tables for the U.S. Army. Two decades later, it developed the data communications network known as the ARPANET, a precursor to the Internet. Yet not since the 1980s have government contracts helped generate any major new technologies, despite large increases in funding for defense-related R & D. One major culprit …

Was Mechanization De-Skilling? The Origins Of Task-Biased Technical Change, James Bessen

Faculty Scholarship

Did nineteenth century technology reduce demand for skilled workers in contrast to modern technology? I obtain direct evidence on human capital investments and the returns to skill by using micro-data on individual weavers and an engineering production function. Weavers learned substantially on the job. While mechanization eliminated some tasks and the associated skills, it increased returns to skill on the remaining tasks. Technical change was task-biased, much as with computer technology. As more tasks were automated, weavers’ human capital increased substantially. Although technology increased the demand for skill like today, weavers’ wages eventually increased and inequality decreased, contrary to current …

Location-Based Services: Time For A Privacy Check-In, Chris Conley, Nicole Ozer, Hari O'Connell, Ellen Ginsburg, Tamar Gubins

Faculty Scholarship

Need to get directions when you are lost? Want to know if your friends are in the neighborhood? Location-based services – applications and websites that provide services based on your current location – can put this information and more in the palm of your hand.

But outdated privacy laws and varying corporate practices could mean that sensitive information about who you are, where you go, what you do, and who you know end up being shared, sold, or turned over to the government.

Can location-based services protect your privacy? Do they? And what can we do to improve the situation? …

From Knowledge To Ideas: The Two Faces Of Innovation, James Bessen

Faculty Scholarship

Innovative ideas have unique properties arising from low communication costs. But ideas come from knowledge that is costly to communicate. “Formalizing” knowledge — codifying, developing standards, etc. — reduces these costs. In a simple model, formalization is associated with changes in the nature of competition between two equilibrium regimes. In one, knowledge is formalized, new technology replaces old and patents increase innovation incentives. In the other, knowledge is not formalized, old technology coexists with new, patents decrease innovation incentives and firms sometimes freely exchange knowledge. The equilibrium changes as technology improves over a life-cycle, affecting firm strategy, innovation policy, geographic …

Quebec's Sales Recording Module (Srm): Fighting The Zapper, Phantomware, And Tax Fraud With Technology, Richard Thompson Ainsworth

Faculty Scholarship

No abstract provided.

The Rhetoric Of Intellectual Property: Copyright Law And The Regulation Of Digital Culture, By Jessica Reyman (Book Review), Jessica Silbey

Faculty Scholarship

A short book review of Jessica Reyman’s, The Rhetoric of Intellectual Property: Copyright Law and the Regulation of Digital Culture.

Sequential Innovation, Patents, And Imitation, James Bessen, Eric Maskin

Faculty Scholarship

How could such industries as software, semiconductors, and computers have been so innovative despite historically weak patent protection? We argue that if innovation is both sequential and complementary--as it certainly has been in those industries--competition can increase firms' future profits thus offsetting short-term dissipation of rents. A simple model also shows that in such a dynamic industry, patent protection may reduce overall innovation and social welfare. The natural experiment that occurred when patent protection was extended to software in the 1980?s provides a test of this model. Standard arguments would predict that R&D intensity and productivity should have increased among …

Zappers: Tax Fraud, Technology And Terrorist Funding, Richard Thompson Ainsworth

Faculty Scholarship

"Zappers," or automated sales suppression devices, have brought unheard of efficiencies and economies of scale to a very simple tax fraud - skimming cash sales at point of sale (POS) terminals (electronic cash registers). Until recently the largest tax fraud case in Connecticut, also the "largest computer driven tax-evasion case in the nation," was a zapper case. Stew Leonard's Dairy in Norwalk Connecticut skimmed $17 million in receipts and hid the cash in St. Martin (a Caribbean island). Talal Chahine and his wife, Elfat El Aouar, owners of the La Shish restaurant chain in Detroit Michigan have the dubious honor …

What's Wrong With The Patent System? Fuzzy Boundaries And The Patent Tax, James Bessen, Michael J. Meurer

Faculty Scholarship

The annual number of patent lawsuits filed in the U.S. has roughly tripled from 1970 to 2004. The number of suits was more or less steady in the 1970s, climbed slowly in the 1980s, and exploded in the 1990s. Why? The usual answers point to (1) the growth of the “new economy” and the concomitant explosion of patenting, (2) the failure of the Patent Office to reject patents on old or obvious inventions, or (3) the rise of the patent troll. There is an element of truth in all these answers, but even collectively they do a poor job explaining …

Governing By Negotiation: The Internet Naming System, Tamar Frankel

Faculty Scholarship

This Article is about the governance of the Internet naming system. The subject is fascinating, not simply because the naming system is an important system affecting the Internet, although it is; and not because the Internet is important, although it is. The subject is fascinating because it offers a rare opportunity to examine and learn from the evolution of an incoherent governance structure. The naming system is special in that it is the product of a new technology; it reflects the changes and pressures brought by the new technology, and involves the interests of government and private entities, domestic and …

The Magic Lantern Revealed: A Report Of The Fbi's New Key Logging Trojan And Analysis Of Its Possible Treatment In A Dynamic Legal Landscape, Woodrow Hartzog

Faculty Scholarship

Magic Lantern presents several difficult legal questions that are left unanswered due to new or non-existent statutes and case law directly pertaining to the unique situation that Magic Lantern creates. ²⁵ The first concern is statutory. It is unclear what laws, if any, will apply when Magic Lantern is put into use.²⁶ The recent terrorist attacks in the United States have brought the need for information as a matter of national security to the forefront. Congress recently passed legislation (i.e. USA PATRIOT Act) ²⁷ that dramatically modifies current surveillance law, thus further complicating the untested waters of a …

Symposium: Advances In Biomaterials And Devices, And Their Financing, Michael S. Baram, Ronald A. Cass, Steven Bauer, Joyce Wong, Martin Yarmush, Joshua Tolkoff, Rufus King

Faculty Scholarship

My name is Professor Michael Baram and I direct the Center for Law and Technology here at the law school. Today's meeting is the third annual Technology Law Symposium to be held here, sponsored by the high technology law firm of Testa, Hurwitz & Thibeault, LLP and the Center for Law and Technology.

Our meeting today is focused on an exciting area of research and product development. This area involves the use of conventional as well as new genetically engineered biomaterials in new medical device configurations for implantation and with the purpose of restoring bodily functions, regenerating tissue, bone, cartilage, …

Discovery, Learning And Adoption Of New Techniques: Choosing Specialization To Optimize Technical Progress, James Bessen

Faculty Scholarship

Why is it that adopting new technologies takes so long and costs so much? Clearly, firms do not know all the details necessary to implement a complex technology efficiently; learning these details requires extensive search. However, this explanation has a problem: even limited search may be so costly that newly discovered techniques will not be tried. We find that specialization solves this problem. If a complex process is divided into many small components, each searched in parallel, then discoveries are readily tested. Moreover, specialized search can perform surprisingly well even for processes of indefinite complexity. We measure the returns to …