Science and Technology Law Commons^™

Innovative Approaches To Diversion Data, Sean Flynn, Robin Olsen, Maggie Wolk

Scholarly Articles in Law Reviews & Journals

Prosecutors across the country are collecting and using data to make decisions in their offices. At the same time, prosecutors are interested in developing and sustaining prosecutorial diversion approaches. Prosecutors can use data to assist in decision-making regarding diversion case processing choices as well as to make office policy and resource allocation decisions that, in turn, support expanded diversion programs. Data collection can help prosecutors decide if a prosecutorial diversion program will work for them, and if so, what characteristics it should have. Finally, data can help prosecutors see whether they are obtaining their intended outcomes. Prosecutors possess varying levels …

The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D.

Georgia State University Law Review

An examination of technology in the countertrafficking space reveals recurring tensions between law enforcement and rights-based approaches. It also illuminates assumptions, such as the one that posits more law enforcement-focused, nonstate-actor-supported data-driven efforts are necessary to securing justice for people in trafficking situations. However, a closer look at how technology is used and by whom also invites us to ask different questions and to leverage the power of our all-too-human creative potential in thinking about how to value and prioritize data ethics, transparency, and accountability in future countertrafficking work.

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 …

Data And The Social Obligation Norm Of Property: An Essay In Honor Of Professor Gregory S. Alexander, Christopher K. Odinet

Faculty Scholarship

In the age of the Cambridge Analytica/Facebook scandal and sundry other data breaches at Under Armour, Target, and Best Buy, the issue of security and privacy in consumer data has become increasingly important. For much of the modern era, the development of technology has gone relatively unchecked, with the United States having ceded much of the policymaking terrain to Silicon Valley. This has resulted in the unbridled creation of vast amounts of consumer data. Users who engage with tech platforms generate bits and bytes about themselves based on their activities, preferences, and habits. This information — “data” — is then …

Privacy Law Issues In Public Blockchains: An Analysis Of Blockchain, Pipeda, The Gdpr, And Proposals For Compliance, Noah Walters

Canadian Journal of Law and Technology

Proponents of blockchain proclaim that the technology’s greatest innovation is trust. Blockchain create trust by serving as an indispensable ledger (a central point of truth), for all stakeholders to a transaction. Instead of companies managing and reconciling records of the same transaction in privately held databases, both sides of a transaction are recorded simultaneously on a shared ledger — the blockchain. As a result, the crypto economic environment is characterized by the decentralized coordination of business processes and transactions. Proponents of crypto-economics regard decentralized coordination as an opportunity for new forms of economic innovation, forms designed to increase value for …

Medical Ai And Contextual Bias, W. Nicholson Price Ii

Articles

Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …

Data Regulation With Chinese Characteristics, Henry S. Gao

Centre for AI & Data Governance (2019-2025)

Data regulation has become a key issue in today’s world. For various reasons, however, it has been challenging to understand data regulations in China, home to the largest e-commerce market in the world. This paper traces the evolution of data and Internet regulation in China, from the early days of the Chinese Internet, to the regulatory turf wars among different agencies, and all the way to the elevation of data and Internet regulation to the level of national security and the rise of a super-agency in charge of the issue in recent years. The paper argues that, the Chinese Internet …

Diversity As A Trade Secret, Jamillah Bowman Williams

Georgetown Law Faculty Publications and Other Works

When we think of trade secrets, we often think of famous examples such as the Coca-Cola formula, Google’s algorithm, or McDonald’s special sauce used on the Big Mac. However, companies have increasingly made the novel argument that diversity data and strategies are protected trade secrets. This may sound like an unusual, even suspicious, legal argument. Many of the industries that dominate the economy in wealth, status, and power continue to struggle with a lack of diversity. Various stakeholders have mobilized to improve access and equity, but there is an information asymmetry that makes this pursuit daunting. When potential plaintiffs and …

Digital Colonialism: The 21st Century Scramble For Africa Through The Extraction And Control Of User Data And The Limitations Of Data Protection Laws, Danielle Coleman

Michigan Journal of Race and Law

As Western technology companies increasingly rely on user data globally, extensive data protection laws and regulations emerged to ensure ethical use of that data. These same protections, however, do not exist uniformly in the resource-rich, infrastructure-poor African countries, where Western tech seeks to establish its presence. These conditions provide an ideal landscape for digital colonialism.

Digital colonialism refers to a modern-day “Scramble for Africa” where largescale tech companies extract, analyze, and own user data for profit and market influence with nominal benefit to the data source. Under the guise of altruism, large scale tech companies can use their power and …

The Gdpr: It Came, We Saw, But Did It Conquer?, Leila Javanshir

Seattle University Law Review

On February 1, 2019, the Seattle University Law Review held its annual symposium at the Seattle University School of Law. Each year, the Law Review hosts its symposium on a topic that is timely and meaningful. This year, privacy and data security professionals from around the globe gathered to discuss the current and future effects of the General Data Protection Regulation (GDPR) that was implemented on May 25, 2018. The articles and essays that follow this Foreword are the product of this year’s symposium.

Confiding In Con Men: U.S. Privacy Law, The Gdpr, And Information Fiduciaries, Lindsey Barrett

Seattle University Law Review

In scope, ambition, and animating philosophy, U.S. privacy law and Europe’s General Data Protection Regulation are almost diametric opposites. The GDPR’s ambitious individual rights, significant prohibitions, substantive enforcement regime, and broad applicability contrast vividly with a scattershot U.S. regime that generally prioritizes facilitating commerce over protecting individuals, and which has created perverse incentives for industry through anemic enforcement of the few meaningful limitations that do exist. A privacy law that characterizes data collectors as information fiduciaries could coalesce with the commercial focus of U.S. law, while emulating the GDPR’s laudable normative objectives and fortifying U.S. consumer privacy law with a …

Privacy Statements Under The Gdpr, Mike Hintze

Seattle University Law Review

The need to include specific types of information in a privacy statement is a GDPR compliance obligation that does not get as much attention as some other GDPR requirements. Perhaps that is because privacy statements have been much maligned in recent years. They are too long and full of legalese. Nobody reads them. They are part of a notice and consent approach to privacy that puts an unrealistic burden on consumers to make informed choices. But despite these well-known criticisms, the GDPR doubles down on privacy statements. In fact, gauging by the roughly fourfold increase in privacy statement requirements compared …

Footprints: Privacy For Enterprises, Processors, And Custodians…Oh My!, Blair Witzel, Carrie Mount

Seattle University Law Review

Americans’ interest in privacy—as evidenced by increasing news coverage, online searches, and new legislation—has grown over the past decade. After the European Union enacted the General Data Protection Regulation (GDPR), technologists and legal professionals have focused on primary collectors of data—known under various legal regimes as the “controller” or “custodian.” Thanks to advances in computing, many of these data collectors offload the processing of data to third parties providing data-related cloud services like Amazon, Microsoft, and Google. In addition to the data they have already collected about the data subjects themselves, these companies now “hold” that data on behalf of …

Title 2.0: Discrimination Law In A Data-Driven Society, Bryan Casey

Journal of Law and Mobility

More than a quarter century after civil rights activists pioneered America’s first ridesharing network, the connections between transportation, innovation, and discrimination are again on full display. Industry leaders such as Uber, Amazon, and Waze have garnered widespread acclaim for successfully combatting stubbornly persistent barriers to transportation. But alongside this well-deserved praise has come a new set of concerns. Indeed, a growing number of studies have uncovered troubling racial disparities in wait times, ride cancellation rates, and service availability in companies including Uber, Lyft, Task Rabbit, Grubhub, and Amazon Delivery.

Surveying the methodologies employed by these studies reveals a subtle, but …

Nowhere To Run, Nowhere To Hide.* Applying The Fourth Amendment To Connected Cars In The Internet-Of-Things Era, Gregory C. Brown, Jr.

Journal of Civil Rights and Economic Development

(Excerpt)

Part I of this Note will briefly discuss the key components of a Connected Car, identify who collects the data from the Car, and examine the various uses for the data. Part I also explores whether Car owners consent to the collection of their Car’s data. Part II-A will trace the historical development of the automobile exception to the Fourth Amendment, which generally permits law-enforcement officers to conduct a warrantless search of a vehicle. Part II-B will discuss how the Supreme Court has applied the Fourth Amendment to pre-Internet technologies. Part II-C will discuss two recent Fourth Amendment Supreme …

The Role Of Satellites And Smart Devices: Data Surprises And Security, Privacy, And Regulatory Challenges, Anne T. Mckenna, Amy C. Gaudion, Jenni L. Evans

Faculty Scholarly Works

Strava, a popular social media platform and mobile app like Facebook but specifically designed for athletes, posts a “heatmap” with consensually-obtained details about users’ workouts and geolocation. Strava’s heatmap depicts aggregated data of user location and movement by synthesizing GPS satellite data points and movement data from users’ smart devices together with satellite imagery. In January of 2018, a 20-year-old student tweeted that Strava’s heatmap revealed U.S. forward operating bases. The tweet revealed a significant national security issue and flagged substantial privacy and civil liberty concerns.

Smart devices, software applications, and social media platforms aggregate consumer data from multiple data …

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

Scholarly Articles in Law Reviews & 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 …

Data-Centric Technologies: Patent And Copyright Doctrinal Disruptions, Tabrez Y. Ebrahim

Faculty Scholarship

Data-centric technologies create information content that directly controls, modifies, or responds to the physical world. This information content resides in the digital world yet has profound economic and societal impact in the physical world. 3D printing and artificial intelligence are examples of data-centric technologies. 3D printing utilizes digital data for eventual printing of physical goods. Artificial intelligence learns from data sets to make predictions or automated decisions for use in physical applications and systems. 3D printing and artificial intelligence technologies are based on digital foundations, blur the digital and physical divide, and dramatically improve physical goods, objects, products, or systems. …

Lawyer As Soothsayer: Exploring The Important Role Of Outcome Prediction In The Practice Of Law, Mark K. Osbeck

Articles

Outcome prediction has always been an important part of practicing law. Clients rely heavily on their attorneys to provide accurate assessments of the potential legal consequences they face when making important decisions (such as whether to accept a plea bargain, or risk a conviction on a much more serious offense at trial). And yet, notwithstanding its enormous importance to the practice of law (and notwithstanding the handsome legal fees it commands), outcome prediction in the law remains a very imprecise endeavor. The reason for this inaccuracy is that the three principal tools lawyers have traditionally relied on to facilitate outcome …

The Blockchain Explained, Or How To Make Lots Of Money In Cryptocurrency, Jason Tubinis

Presentations

The School of Law's Information Technology Librarian summarizes blockchain, the current impact is having on business, finance and e-commerce, and the potential implications for our not so distant future as it pertains to the law.

Artificial Intellegence And Policing: First Questions, Elizabeth E. Joh

Seattle University Law Review

Artificial intelligence is playing an increasingly larger role in all sectors of society, including policing. Many police departments are already using artificial intelligence (AI) to help predict and identify suspicious persons and places.1 Increased computational power and oceans of data have given rise to inferences about violence and threats.2 AI will change policing just as it will healthcare, insurance, commerce, and transportation. But what questions should we ask about AI and policing?

The Tortoise And The Hare Of International Data Privacy Law: Can The United States Catch Up To Rising Global Standards?, Matthew Humerick

Catholic University Journal of Law and Technology

Technological developments spur the development of big data on a global scale. The breadth of data companies collect, maintain, process, and transmit affects nearly every country and organization around the world. Inherent to big data are issues of data protection and transfers to third countries. While many jurisdictions emphasize the importance of protecting consumer data, such as the European Union, others, like the United States, do not. To circumvent this issue, the United States and European Union contracted around data privacy standard discrepancies through the Safe Harbor Agreement, which eased cross-border data transfers. However, the Court of Justice of the …

Regulation By Database, Nathan Cortez

Faculty Journal Articles and Book Chapters

The federal government currently publishes 195,245 searchable databases online, a number of which include information about private parties that is negative or unflattering in some way. Federal agencies increasingly publish adverse data not just to inform the public or promote transparency, but to pursue regulatory ends ⎯ to change the underlying behavior being reported. Such "regulation by database" has become a preferred method of regulation in recent years, despite scant attention from policymakers, courts, or scholars on its appropriate uses and safeguards.

This Article, then, evaluates the aspirations and burdens of regulation by database. Based on case studies of six …

Breadcrumbs: Privacy As A Privilege, Prachi Bhardwaj

Capstones

Breadcrumbs: Privacy as a Privilege Abstract

By: Prachi Bhardwaj

In 2017, the world saw more data breaches than in any year prior. The count was more than the all-time high record in 2016, which was 40 percent more than the year before that.

That’s because consumer data is incredibly valuable today. In the last three decades, data storage has gone from being stored physically to being stored almost entirely digitally, which means consumer data is more accessible and applicable to business strategies. As a result, companies are gathering data in ways previously unknown to the average consumer, and hackers are …

Regulating Black-Box Medicine, W. Nicholson Price Ii

Michigan Law Review

Data drive modern medicine. And our tools to analyze those data are growing ever more powerful. As health data are collected in greater and greater amounts, sophisticated algorithms based on those data can drive medical innovation, improve the process of care, and increase efficiency. Those algorithms, however, vary widely in quality. Some are accurate and powerful, while others may be riddled with errors or based on faulty science. When an opaque algorithm recommends an insulin dose to a diabetic patient, how do we know that dose is correct? Patients, providers, and insurers face substantial difficulties in identifying high-quality algorithms; they …

Risk And Resilience In Health Data Infrastructure, W. Nicholson Price Ii

Articles

Today’s health system runs on data. However, for a system that generates and requires so much data, the health care system is surprisingly bad at maintaining, connecting, and using those data. In the easy cases of coordinated care and stationary patients, the system works—sometimes. But when care is fragmented, fragmented data often result. Fragmented data create risks both to individual patients and to the system. For patients, fragmentation creates risks in care based on incomplete or incorrect information, and may also lead to privacy risks from a patched together system. For the system, data fragmentation hinders efforts to improve efficiency …

Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii

Articles

Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …

Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart

Research Data

These documents underlie and are cited in this empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 409 n.123 (2017), available at http://scholar.law.colorado.edu/articles/755/.

The ZIP file contains three files: one PDF document ("Tables for Charts 1-3"), and two SPSS files ("Data Archive" and "Syntax Archive" (SPSS version 24)). The "Syntax Archive" file may be viewed in a text editor (e.g., Notepad) as well as in SPSS.

Data-Generating Patents, Brenda M. Simon, Ted Sichelman

Northwestern University Law Review

Patents and trade secrets are often considered economic substitutes. Under this view, inventors can decide either to maintain an invention as a trade secret or to seek a patent and disclose to the public the details of the invention. However, a handful of scholars have recognized that because the patent disclosure requirements are not always rigorous, inventors may sometimes be able to keep certain aspects of an invention secret, yet still receive a patent to the invention as a whole. Here, we provide further insight into how trade secrets and patents may act as complements. Specifically, we introduce the concept …

Who's Driving You? Driver Data Remains Unprotected Under Coppa And Shine The Light, Marisa Tashman

Loyola of Los Angeles Law Review

As our lives become more driven by technology, California’s privacy laws fall short of protecting our personally identifiable information. Vehicles in particular present an increasing privacy concern, as our automobiles become more computer and less car. Cars today have increasingly sophisticated capabilities, stemming from connected technology and sensors, and their ability to capture geolocation and biometric data. This data can be used to make inferences about drivers’ behavioral patterns and daily habits. This Article analyzes whether California’s privacy laws—California Online Privacy Protection Act (“COPPA”) and Shine the Light—adequately address privacy concerns regarding driver data collected by the connected car. This …