Law Commons^™

The Promise And Perils Of Tech Whistleblowing, Hannah Bloch-Wehba

Faculty Scholarship

Whistleblowers and leakers wield significant influence in technology law and policy. On topics ranging from cybersecurity to free speech, tech whistleblowers spur congressional hearings, motivate the introduction of legislation, and animate critical press coverage of tech firms. But while scholars and policymakers have long called for transparency and accountability in the tech sector, they have overlooked the significance of individual disclosures by industry insiders—workers, employees, and volunteers—who leak information that firms would prefer to keep private.

This Article offers an account of the rise and influence of tech whistleblowing. Radical information asymmetries pervade tech law and policy. Firms exercise near-complete …

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 …

Two Ai Truths And A Lie, Woodrow Hartzog

Faculty Scholarship

Industry will take everything it can in developing Artificial Intelligence (AI) systems. We will get used to it. This will be done for our benefit. Two of these things are true and one of them is a lie. It is critical that lawmakers identify them correctly. In this Essay, I argue that no matter how AI systems develop, if lawmakers do not address the dynamics of dangerous extraction, harmful normalization, and adversarial self-dealing, then AI systems will likely be used to do more harm than good.

Given these inevitabilities, lawmakers will need to change their usual approach to regulating technology. …

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping” – the automated extraction of large amounts of data from the internet. A great deal of scraped data is about people. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archival, and meaningful scientific research, scraping for AI can also be objectionable or even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this Article, …

National Telecommunications And Information Administration: Comments From Researchers At Boston University And The University Of Chicago, Ran Canetti, Aloni Cohen, Chris Conley, Mark Crovella, Stacey Dogan, Marco Gaboardi, Woodrow Hartzog, Rory Van Loo, Christopher Robertson, Katharine B. Silbaugh

Faculty Scholarship

These comments were composed by an interdisciplinary group of legal, computer science, and data science faculty and researchers at Boston University and the University of Chicago. This group collaborates on research projects that grapple with the legal, policy, and ethical implications of the use of algorithms and digital innovation in general, and more specifically regarding the use of online platforms, machine learning algorithms for classification, prediction, and decision making, and generative AI. Specific areas of expertise include the functionality and impact of recommendation systems; the development of Privacy Enhancing Technologies (PETs) and their relationship to privacy and data security laws; …

Diverse Patients’ Attitudes Towards Artificial Intelligence (Ai) In Diagnosis, Christopher Robertson, Andrew Woods, Kelly Bergstrand, Jessica Findley, Cayley Balser, Marvin J. Slepian

Faculty Scholarship

Artificial intelligence (AI) has the potential to improve diagnostic accuracy. Yet people are often reluctant to trust automated systems, and some patient populations may be particularly distrusting. We sought to determine how diverse patient populations feel about the use of AI diagnostic tools, and whether framing and informing the choice affects uptake. To construct and pretest our materials, we conducted structured interviews with a diverse set of actual patients. We then conducted a pre-registered (osf.io/9y26x), randomized, blinded survey experiment in factorial design. A survey firm provided n = 2675 responses, oversampling minoritized populations. Clinical vignettes were randomly manipulated in eight …

The Disembodied First Amendment, Nathan Cortez, William M. Sage

Faculty Scholarship

First Amendment doctrine is becoming disembodied—increasingly detached from human speakers and listeners. Corporations claim that their speech rights limit government regulation of everything from product labeling to marketing to ordinary business licensing. Courts extend protections to commercial speech that ordinarily extended only to core political and religious speech. And now, we are told, automated information generated for cryptocurrencies, robocalling, and social media bots are also protected speech under the Constitution. Where does it end? It begins, no doubt, with corporate and commercial speech. We show, however, that heightened protection for corporate and commercial speech is built on several “artifices” - …

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 …

The Democratizing Potential Of Algorithms?, Ngozi Okidegbe

Faculty Scholarship

Jurisdictions are increasingly embracing the use of pretrial risk assessment algorithms as a solution to the problem of mass pretrial incarceration. Conversations about the use of pretrial algorithms in legal scholarship have tended to focus on their opacity, determinativeness, reliability, validity, or their (in)ability to reduce high rates of incarceration as well as racial and socioeconomic disparities within the pretrial system. This Article breaks from this tendency, examining these algorithms from a democratization of criminal law perspective. Using this framework, it points out that currently employed algorithms are exclusionary of the viewpoints and values of the racially marginalized communities most …

Homography Of Inventorship: Dabus And Valuing Inventors, Jordana Goodman

Faculty Scholarship

On July 28, 2021, the Device for the Autonomous Bootstrapping of Unified Sentience ("DAB US") became the first computer to be recognized as a patent inventor. Due to the advocacy of DAB US's inventor, Dr. Stephen Thaler, the world's definition of "inventor" has finally fractured - dividing patent regimes between recognition of machine inventorship and lack thereof This division has sparked many scholarly conversations about inventorship contribution, but none have discussed the implications of a homographic inventorship.

This Article addresses the implications of international homographic inventorship - where countries have different notions and rules concerning patent inventorship - and the …

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 …

Our Brains Beguil'd: Copyright Protection For Ai Created Works, Vicenc Feliu

Faculty Scholarship

No abstract provided.

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 …

Securitizing Digital Debts, Christopher K. Odinet

Faculty Scholarship

The promise of financial technology (“fintech”) and artificial intelligence (“AI”) in broadening access to financial products and services continues to capture the imagination of policymakers, Wall Street, and the public. This has been particularly true in the realm of fintech credit where platform companies increasingly provide online loans to consumers, students, and small businesses by harnessing AI underwriting and alternative data. In 2019 alone fintech lenders represented nearly 50% of total non-credit card, unsecured consumer loan balances in the United States. One of the most prevalent ways fintech credit firms operate is by securitizing the online loans they help originate. …

Reconsidering The Rationale For The Duration Of Data Exclusivity, Jonathan Kimball, Srividhya Ragavan, Sophia Vegas

Faculty Scholarship

The paper’s focus is the singular one question of whether the 12-years of exclusivity that was needed in 2008 remains justified in 2019 given that technological advancement reduces the cost and the time for drug discovery? Basically, new and emerging technologies are deployed every day to enhance efficiencies and reduce the time it takes to bring a drug to the market. The paper asserts that as new technologies are adopted and advances in scientific understanding are leveraged, it results in shorter drug development timelines. This factum, the paper asserts should have a bearing to reduce the period of exclusivity granted …

Responsible A.I. Credit Scoring - A Legal Framework, Katja Langenbucher

Faculty Scholarship

No abstract provided.

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 …

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 …

Recovering Tech's Humanity, Olivier Sylvain

Faculty Scholarship

No abstract provided.

Taxing & Zapping Marijuana: Blockchain Compliance In The Trump Administration Part 5, Richard Thompson Ainsworth, Brendan Magauran

Faculty Scholarship

This is the fifth part 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 the back-end leakage in the state’s obligation to control both the physical flows of legalized marijuana, as well as the related fiscal flows (the proceeds of legalized marijuana sales). These flows intersect dramatically in retail-level frauds.

There are very few new proposals on how to solve the physical flow problems with consumer re-sales into the black market. Traditional …

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 …

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale

Faculty Scholarship

No abstract provided.

Debating Autonomous Weapon Systems, Their Ethics, And Their Regulation Under International Law, Kenneth Anderson, Matthew C. Waxman

Faculty Scholarship

An international public debate over the law and ethics of autonomous weapon systems (AWS) has been underway since 2012, with those urging legal regulation of AWS under existing principles and requirements of the international law of armed conflict, on the one side, in argument with opponents who favor, instead, a preemptive international treaty ban on all such weapons, on the other. This Chapter provides an introduction to this international debate, offering the main arguments on each side. These include disputes over defining an AWS, the morality and law of automated targeting and target selection by machine, and the interaction of …