Law Commons^™

Target(Ed) Advertising, Derek E. Bambauer

UF Law Faculty Publications

Targeted advertising—using data about consumers to customize the ads they receive—is deeply controversial. It also creates a regulatory quandary. Targeted ads generate more money than untargeted ones for apps and online platforms. Apps and platforms depend on this revenue stream to offer free services to users, if not for their financial viability altogether. However, targeted advertising also generates significant privacy risks and consumer resentment. Despite sustained attention to this issue, neither legal scholars nor policymakers have crafted interventions that address both concerns, and existing regulatory regimes for targeted advertising have critical gaps.

This Article makes three key contributions to the …

Governing Smart Cities As Knowledge Commons - Introduction, Chapter 1 & Conclusion, Brett M. Frischmann, Michael J. Madison, Madelyn Sanfilippo

Book Chapters

Smart city technology has its value and its place; it isn’t automatically or universally harmful. Urban challenges and opportunities addressed via smart technology demand systematic study, examining general patterns and local variations as smart city practices unfold around the world. Smart cities are complex blends of community governance institutions, social dilemmas that cities face, and dynamic relationships among information and data, technology, and human lives. Some of those blends are more typical and common. Some are more nuanced in specific contexts. This volume uses the Governing Knowledge Commons (GKC) framework to sort out relevant and important distinctions. The framework grounds …

Big Data, Big Gap: Working Towards A Hipaa Framework That Covers Big Data, Ryan Mueller

Indiana Law Journal

One lasting impact of the Health Insurance Portability and Accountability Act (HIPAA) is the privacy protections it provides for our sensitive health information. In the era of Big Data, however, much of our health information exists outside the traditional doctor-patient dynamic. From wearable technology, to mobile applications, to social media and internet browsing, Big Data organizations collect swaths of data that shed light on sensitive health information. Big Data organizations largely fall outside of HIPAA’s current framework because of the stringent requirements for when the HIPAA protections apply, namely that the data must be held by a covered entity, and …

The Law Of Employee Data: Privacy, Property, Governance, Matthew T. Bodie

Indiana Law Journal

The availability of data related to the employment relationship has ballooned into an unruly mass of performance metrics, personal characteristics, biometric recordings, and creative output. The law governing this collection of information has been awkwardly split between privacy regulations and intellectual property rights, with employees generally losing on both ends. This Article rejects a binary approach that either carves out private spaces ineffectually or renders data into isolated pieces of ownership. Instead, the law should implement a hybrid system that provides workers with continuing input and control without blocking efforts at joint production. In addition, employers should have fiduciary responsibilities …

The Relationship Between Privacy And Antitrust, Maurice Stucke

Scholarly Works

This Essay recaps the policymakers’, enforcers’, and scholars’ thinking on the relationship between antitrust and privacy. Currently, the thinking is that improving privacy protection is a necessary, but not sufficient, step to address some of the risks posed by these data-opolies and deter data hoarding, a key source of their power.

The policies proposed in Europe, Asia, Australia, and North America as of early 2022 all assume that with more competition, privacy and well-being will be restored. In looking at the reforms proposed to date, policymakers and scholars have not fully addressed several fundamental issues.

One issue is whether more …

The Kind Of Solution A Smart City Is: Knowledge Commons And Postindustrial Pittsburgh, Michael J. Madison

Book Chapters

This case study brings new attention to a critical but under-appreciated dimension of so-called “smart” cities: how smart city governance builds and relies on institutionalized sharing of data, information, and other forms of knowledge across all sectors of public administration. Those smart city practices are referred to here as knowledge commons and systematized using the Governing Knowledge Commons (GKC) research framework. That framework extends and modifies Ostrom’s research tradition as to community-based resource governance. As with other GKC-focused research, this work relies on a qualitative case study. It draws a detailed, context-specific portrait of a smart city as knowledge commons …

#Audited: Social Media And Tax Enforcement, Michelle Lyon Drumbl

Scholarly Articles

With limited resources and a diminished budget, it is not surprising that the Internal Revenue Service would seek new tools to maximize its enforcement efficiency. Automation and technology provide new opportunities for the IRS, and in turn, present new concerns for taxpayers. In December 2018, the IRS signaled its interest in a tool to access publicly available social media profiles of individuals in order to “expedite IRS case resolution for existing compliance cases.” This has important implications for taxpayer privacy.

Moreover, the use of social media in tax enforcement may pose a particular harm to an especially vulnerable population: low-income …

Dye In The Cracks: The Limits Of Legal Frameworks Governing Police Use Of Big Data, Sarah Brayne

Saint Louis University Law Journal

Computational procedures increasingly inform how we work, communicate, and make decisions, raising sociolegal questions about how data are used by police and what the consequences are for laws governing police activity. Legal scholars have begun analyzing the implications of big data policing, yet their work to date is largely theoretical. In this article, I draw on ethnographic fieldwork conducted with the Los Angeles Police Department (“LAPD”) to ground legal debates about police use of big data in empirical detail. The article opens with a brief description of the fieldwork and findings on how the police use big data for dragnet …

Factors Affecting Access To Administrative Health Data For Research In Canada: A Study Protocol, Cynthia Kendell, Adrian Levy, Geoff Porter, Elaine Gibson, Robin Urquhart

Articles, Book Chapters, & Popular Press

In Canada, most provinces have established administrative health data repositories to facilitate access to these data for research. Anecdotally, researchers have described delays and substantial inter-provincial variations in the timeliness of data access approvals and receipt of data. Currently, the reasons for these delays and variations in timeliness are not well understood. This paper provides a study protocol for (1) identifying the factors affecting access to administrative health data for research within select Canadian provinces, and (2) comparing factors across provinces to assess whether and how they contribute to inter-provincial variations in access to administrative health data for research.

Fair Play: Notes On The Algorithmic Soccer Referee, Michael J. Madison

Articles

The soccer referee stands in for a judge. Soccer’s Video Assistant Referee (“VAR”) system stands in for algorithms that augment human deciders. Fair play stands in for justice. They are combined and set in a polycentric system of governance, with implications for designing, administering, and assessing human-machine combinations.

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 …

The First Amendment And Data Privacy: Securing Data Privacy Laws That Withstand Constitutional Muster, Kathryn Peyton

Pepperdine Law Review

Given the growing ubiquity of digital technology’s presence in people’s lives today, it is becoming increasingly more necessary to secure data privacy protections. People interact with technology constantly, ranging from when engaging in business activates, such as corresponding through emails or doing research online, to more innocuous activities like driving, shopping, or talking with friends and family. The advances in technology have made possible the creation of digital trails whenever someone interacts with such technology. Companies aggregate data from data trails and use predictive analytics to create detailed profiles about citizen-consumers. This information is typically used for profit generating purposes. …

Rewriting Judicial Recusal Rules With Big Data, Raymond J. Mckoski

Utah Law Review

Big data affects the personal and professional life of every judge. A judge’s travel time to work, creditworthiness, and chances of an IRS audit all depend on predictive algorithms interpreting big data. A client’s choice of counsel, the precise wording of a litigant’s motion, and the composition of the jury may be dictated by analytics. Touted as a means of bringing objectivity to judicial decision-making, judges have employed big data to determine sentences and to set the amount of restitution in class action cases. Unfortunately, the legal profession and big data proponents have ignored one perplexing problem begging for a …

Rule By Data: The End Of Markets?, Katharina Pistor

Faculty Scholarship

This Article explores data as a source and, in their processed variant, as a means of governance that will likely replace both markets and the law. Discussing data not as an object of transactions or an object of governance, but as a tool for governing others on a scale that rivals that of nation states with their law, seems a fitting topic for a special issue that is devoted to the legal construction of markets. Here, I argue that while it may well be the case that law constitutes markets, markets are not the only way in which economic relations …

Antitrust And Regulating Big Data, D. Daniel Sokol, Roisin E. Comerford

D. Daniel Sokol

The collection of user data online has seen enormous growth in recent years. Consumers have benefited from this growth through an increase in free or heavily subsidized services, better quality offerings, and rapid innovation. At the same time, the debate about Big Data, and what it really means for consumers and competition, has grown louder. Many have focused on whether Big Data even presents an antitrust issue, and whether and how harms resulting from Big Data should be analyzed and remedied under the antitrust laws. The academic literature, however, has somewhat lagged behind the policy debate, and a closer inspection …

Healthtech: How Blockchain Can Simplify Healthcare Compliance, Kathryn M. Bennett

Washington and Lee Journal of Civil Rights and Social Justice

This Note broadly explores solutions to modern-day accessibility and security problems latent in electronic health records. Specifically, this Note discusses HIPAA and HITECH, the current law in place, and how blockchain technology can be used to fix the accessibility and security problems of current electronic health records. This Note proposes that blockchain technology can help a healthcare industry struggling to adhere to the current rule of law in an era of Big Data. Further, Blockchain technology can help individual consumers, particularly those with significant health issues, obtain the best possible medical care while simultaneously keeping their private and sensitive information …

Data Protection In An Increasingly Globalized World, Nicholas F. Palmieri Iii

Indiana Law Journal

With the rise of the internet in recent decades, it has become increasingly easy for various enterprises—including retailers, advertising agencies, and service providers—to acquire, use, and even share the personal details of their users. Such a trend is unlikely to decrease in the coming years; in fact, internet usage is only likely to increase as more and more people gain access to the internet. In the wakeof recent data breaches, including the now infamous breach of Equifax as well as the scandal involving Facebook and Cambridge Analytica, people are even more aware of the need for (and the risk of …

The Exclusionary Rule In The Age Of Blue Data, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

In Herring v. United States, Chief Justice John Roberts reframed the Supreme Court’s understanding of the exclusionary rule: “As laid out in our cases, the exclusionary rule serves to deter deliberate, reckless, or grossly negligent conduct, or in some circumstances recurring or systemic negligence.” The open question remains: how can defendants demonstrate sufficient recurring or systemic negligence to warrant exclusion? The Supreme Court has never answered the question, although the absence of systemic or recurring problems has figured prominently in two recent exclusionary rule decisions. Without the ability to document recurring failures, or patterns of police misconduct, courts can dismiss …

Gina, Big Data, And The Future Of Employee Privacy, Brad Areheart

Scholarly Works

Threats to privacy abound in modern society, but individuals currently enjoy little meaningful legal protection for their privacy interests. We argue that the Genetic Information Nondiscrimination Act (GINA) offers a blueprint for preventing employers from breaching employee privacy. GINA has faced significant criticism since its enactment in 2008: commentators have dismissed the law as ill-conceived, unnecessary, and ineffective. While we concede that GINA may have failed to alleviate anxieties about medical genetic testing, we assert that it has unappreciated value as an employee-privacy statute. In the era of big data, protections for employee privacy are more pressing than protections against …

Book Reviews, Usawc Press

The US Army War College Quarterly: Parameters

No abstract provided.

A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman

Journal of Digital Forensics, Security and Law

Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research. Advances in big data, technology, and increased capabilities of smartphones has contributed to the demand for modern techniques of examination. Smartphones are ubiquitous, transformative, and have become a goldmine for forensics research. Given the right tools and research methods investigating agencies can help crack almost any illegal activity using smartphones. This paper focuses on conducting forensic analysis in exposing a terrorist or criminal network and introduces a new Big Forensic Data Framework model where different technologies of Hadoop and EnCase software are …

The Ethics In Synthetics: Statistics In The Service Of Ethics And Law In Health-Related Research In Big Data From Multiple Sources, Sharon Bassan Ph.D., Ofer Harel Ph.D.

Journal of Law and Health

An ethical advancement of scientific knowledge demands a delicate equilibrium between benefits and harms, in particular in health-related research. When applying and advancing scientific knowledge or technologies, Article 4 of UNESCO’s Universal Declaration on Bioethics and Human Rights, ethically justifiable research requires maximizing direct and indirect benefits and minimizing possible harms. The National Institution of Health [NIH] Data Sharing Policy and Implementation Guidance similarly states that data necessary for drawing valid conclusions and advancing medical research should be made as widely and freely available as possible (in order to share the benefits) while safeguarding the privacy of participants from potentially …

The Promise And Perils Of Algorithmic Lenders’ Use Of Big Data, Matthew Adam Bruckner

Chicago-Kent Law Review

Tens of millions of Americans lack access to traditional forms of credit and must rely on payday and pawn loans instead. “Algorithmic lending 2.0” promises to enable fintech companies to lend to those excluded from traditional forms of credit. Version 2.0 algorithmic lenders claim to use Big Data and machine learning to increase credit access by making better predictions about prospective borrowers’ creditworthiness and decreasing the cost of credit. Supporters also claim that algorithmic lending 2.0 removes human bias from the financial services sector. Detractors have cast doubt on both claims, arguing that there is scant evidence that algorithmic lending …

Illuminating Black Data Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

The future of policing will be driven by data. Crime, criminals, and patterns of criminal activity will be reduced to data to be studied, crunched, and predicted. The benefits of big data policing involve smarter policing, faster investigation, predictive deterrence, and the ability to visualize crime problems in new ways. Not surprisingly then, police administrators have been seeking out new partnerships with sophisticated private data companies and experimenting with new surveillance technologies. This potential future, however, has a very present limitation. It is a limitation largely ignored by adopting jurisdictions and could, if left unaddressed, delegitimize the adoption and use …

The Fourth Amendment Disclosure Doctrines, Monu Bedi

William & Mary Bill of Rights Journal

The third party and public disclosure doctrines (together the “disclosure doctrines”) are long-standing hurdles to Fourth Amendment protection. These doctrines have become increasingly relevant to assessing the government’s use of recent technologies such as data mining, drone surveillance, and cell site location data. It is surprising then that both the Supreme Court and scholars, at times, have associated them together as expressing one principle. It turns out that each relies on unique foundational triggers and does not stand or fall with the other. This Article tackles this issue and provides a comprehensive topology for analyzing the respective contours of each …

Feeding The Machine: Policing, Crime Data, & Algorithms, Elizabeth E. Joh

William & Mary Bill of Rights Journal

No abstract provided.

Digital Surveillance And Preventive Policing, Manuel A. Utset

Scholarly Publications

No abstract provided.

Autonomy Challenges In The Age Of Big Data, Sofia Grafanaki

Fordham Intellectual Property, Media and Entertainment Law Journal

This Article examines how technological advances in the field of “Big Data” challenge meaningful individual autonomy (and by extension democracy), are redefining the process of self-formation and the relationship between self and society, and can cause harm that cannot be addressed under current regulatory frameworks. Adopting a theory of autonomy that includes both the exploration process an individual goes through in order to develop authentic and independent desires that lead to his actions, as well as the independence of the actions and decisions themselves, this Article identifies three distinct categories of autonomy challenges that Big Data technologies present. The first …

Incomprehensible Discrimination, James Grimmelmann, Daniel Westreich

Cornell Law Faculty Publications

The following (fictional) opinion of the (fictional) Zootopia Supreme Court of the (fictional) State of Zootopia is designed to highlight one particularly interesting issue raised by Solon Barocas and Andrew Selbst in Big Data’s Disparate Impact. Their article discusses many ways in which data-intensive algorithmic methods can go wrong when they are used to make employment and other sensitive decisions. Our vignette deals with one in particular: the use of algorithmically derived models that are both predictive of a legitimate goal and have a disparate impact on some individuals. Like Barocas and Selbst, we think it raises fundamental questions about …

The Glass House Effect: Big Data, The New Oil, And The Power Of Analogy, Dennis D. Hirsch

Maine Law Review

One hears with some frequency today that “data is the new oil.” Recently, Virginia Rometty, IBM’s Chief Executive Officer, updated the phrase, explaining that Big Data is the new oil. Most people who have used the analogy do so in order to convey Big Data’s tremendous value. Data is an essential resource that powers the information economy much like oil has fueled the industrial economy. Big Data promises a plethora of new uses—the identification and prevention of the pandemics, the emergence of new businesses and business sectors, the improvement of health care quality and efficiency, and enhanced protection of the …