Where you go to college and what you choose to study has always been important, but, with the help of data science, it may now determine whether you get a student loan. Silicon Valley is increasingly setting its sights on student lending. Financial technology (“fintech”) firms such as SoFi, CommonBond, and Upstart are ever-expanding their online lending activities to help students finance or refinance educational expenses. These online companies are using a wide array of alternative, education-based data points—ranging from applicants’ chosen majors, assessment scores, the college or university they attend, job history, and cohort default rates—to determine creditworthiness. Fintech firms argue that through their low overhead and innovative approaches to lending they are able to widen access to credit for underserved Americans. Indeed, there is much to recommend regarding the use of different kinds of information about young consumers in order assess their financial ability. Student borrowers are notoriously disadvantaged by the extant scoring system that heavily favors having a past credit history. Yet there are also downsides to the use of education-based, alternative data by private lenders. This Article critiques the use of this education-based information, arguing that while it can have a positive effect in promoting social mobility, it could also have significant downsides. Chief among these are reifying existing credit barriers along lines of wealth and class and further contributing to discriminatory lending practices that harm women, black and Latino Americans, and other minority groups. The discrimination issue is particularly salient because of the novel and opaque underwriting algorithms that facilitate these online loans. This Article concludes by proposing three-pillared regulatory guidance for private student lenders to use in designing, implementing, and monitoring their education-based data lending programs.
Algorithms are now used to make significant decisions about individuals, from credit determinations to hiring and firing. But they are largely unregulated under U.S. law. A quickly growing literature has split on how to address algorithmic decision-making, with individual rights and accountability to nonexpert stakeholders and to the public at the crux of the debate. In this Article, I make the case for why both individual rights and public- and stakeholder-facing accountability are not just goods in and of themselves but crucial components of effective governance. Only individual rights can fully address dignitary and justificatory concerns behind calls for regulating algorithmic decision-making. And without some form of public and stakeholder accountability, collaborative public-private approaches to systemic governance of algorithms will fail.
In this Article, I identify three categories of concern behind calls for regulating algorithmic decision-making: dignitary, justificatory, and instrumental. Dignitary concerns lead to proposals that we regulate algorithms to protect human dignity and autonomy; justificatory concerns caution that we must assess the legitimacy of algorithmic reasoning; and instrumental concerns lead to calls for regulation to prevent consequent problems such as error and bias. No one regulatory approach can effectively address all three. I therefore propose a two-pronged approach to algorithmic governance: a system of individual due process rights combined with systemic regulation achieved through collaborative governance (the use of private-public partnerships). Only through this binary approach can we effectively address all three concerns raised by algorithmic decision-making, or decision-making by Artificial Intelligence (“AI”).
The interplay between the two approaches will be complex. Sometimes the two systems will be complementary, and at other times, they will be in tension. The European Union’s (“EU’s”) General Data Protection Regulation (“GDPR”) is one such binary system. I explore the extensive collaborative governance aspects of the GDPR and how they interact with its individual rights regime. Understanding the GDPR in this way both illuminates its strengths and weaknesses and provides a model for how to construct a better governance regime for accountable algorithmic, or AI, decision-making. It shows, too, that in the absence of public and stakeholder accountability, individual rights can have a significant role to play in establishing the legitimacy of a collaborative regime.
The recent financial crisis demonstrated that, contrary to longstanding regulatory assumptions, nonbank financial firms—such as investment banks and insurance companies—can propagate systemic risk throughout the financial system. After the crisis, policymakers in the United States and abroad developed two different strategies for dealing with nonbank systemic risk. The first strategy seeks to regulate individual nonbank entities that officials designate as being potentially systemically important. The second approach targets financial activities that could create systemic risk, irrespective of the types of firms that engage in those transactions. In the last several years, domestic and international policymakers have come to view these two strategies as substitutes, largely abandoning entity-based designations in favor of activities-based approaches. This Article argues that this trend is deeply misguided because entity- and activities-based approaches are complementary tools that are each essential for effectively regulating nonbank systemic risk. Eliminating an entity-based approach to nonbank systemic risk—either formally or through onerous procedural requirements—would expose the financial system to the same risks that it experienced in 2008 as a result of distress at nonbanks like AIG, Bear Stearns, and Lehman Brothers. This conclusion is especially salient in the United States, where jurisdictional fragmentation undermines the capacity of financial regulators to implement an effective activities-based approach. Significant reforms to the U.S. regulatory framework are necessary, therefore, before an activities-based approach can meaningfully complement domestic entity-based systemic risk regulation.
Exchange-traded funds (“ETFs”) are among the most important financial innovations of the modern era. And yet they still have no coherent regulatory system. This Article addresses the problem by assessing the SEC’s recent effort in this area in light of the recommendations we provided in prior research. In March 2018, we offered the first academic work to show the need for, or to present, a comprehensive regulatory framework for all ETFs. On June 28, 2018, just prior to that article’s scheduled publication, the SEC issued a proposal to change the way it regulates certain types of ETFs. On May 20, 2019, the SEC issued its “Precidian” exemptive order, allowing for the first time “non-transparent” actively managed ETFs—an order that we believe has surprising, hitherto unexplored implications for ETF regulation.
This new Article thus considers the SEC proposal and the Precidian order in the context of our earlier article’s proposed regulatory framework, and also refines that framework. We provide additional rationales for the framework, relying in part on new empirical findings.
The SEC’s proposal does not seek to provide a comprehensive regulatory framework for all ETFs. However, the proposal is a commendable start to addressing some of the problems in the current ad hoc approach to ETF regulation, especially as to the substantive side of ETF regulation. In proposing a more rules-based approach, the SEC helps deal with the central problem of current substantive ETF regulation—the reliance on individualized exemptive letters. However, this partial shift only applies to certain ETFs that are organized under the Investment Company Act of 1940 and also leaves in place an anomalous set of individualized exemptions for several specific Investment Company ETFs, including those offering leveraged and inverse exposures. More broadly, the proposal does not address problems of SEC discretion pertaining to the underlying process of financial innovation in ETFs. The proposed rule also neglects to address the frequent need for individualized exemptions with respect to stock exchange listing requirements.
With respect to the disclosure side of regulation, the SEC proposal again only covers Investment Company ETFs, but is even more incremental in nature. The SEC contemplates modest enhancements of disclosures related to “trading price frictions” of such ETFs. And, going the other direction, the SEC contemplates eliminating the primary source of information for retail investors on intraday values of ETF shares. We welcome the SEC’s invitation for views on more fundamental disclosure reforms. We offer a refined version of the comprehensive disclosure approach advanced in our first article, and provide fresh rationales for such an approach, based in part on new empirical findings. This approach would apply to all ETFs, and would be cognizant of the distinctive characteristics of ETFs and the subtle complexities introduced by the underlying innovation process. Collectively, a disclosure regime consisting of a “dynamic” SEC-specified ETF nomenclature and required ETF self-identification (which nomenclature and self-identification we refer to as the “disclosure building block”), fuller quantitative disclosures of trading price frictions (such as those related to the arbitrage mechanism and bid-ask spreads), and periodic Management’s Discussion and Analysis-style qualitative information centered on the arbitrage mechanism (including, as appropriate, consideration of the impact of the liquidity of the assets in which the ETF is invested) would help individual and institutional investors alike.
This Note proceeds in four parts. Part I briefly looks back at the FDA’s history and the impact of two significant drug crises in establishing the agency’s current framework before explaining the current drug development process. Part II recounts previous challenges to this regulatory framework, which ultimately led to the development of the current expanded access program. Part II also examines the current expanded access program and, more specifically, the evaluation criteria applied by three of its key decisionmakers: the treating physician; the manufacturer; and the FDA.
Part III traces the beginnings of the right to try movement, examining the rationale for the laws and exploring how social media and increased direct-to-consumer advertising of approved drugs possibly created an opening for widespread support of these laws. Part III also explores why the FDA’s efforts to address criticisms of the expanded access program were unable to dissuade enactment of the Right to Try Act. Part IV provides an overview of the Right to Try Act and how the Act differs from expanded access. Part IV further explores why, in general, mainstream industry likely will not adopt the right-to-try pathway, before arguing that pharmaceutical and biotechnology companies should avoid maintaining their current positions regarding pre-approval access, and instead address some of the criticisms raised during the right-to-try movement by (1) revising their existing expanded access policies and (2) improving clinical trial access.
During the 2016 Presidential campaign, the average adult saw at least one “fake news” item on social media. The people distributing the articles had a variety of aims and operated from a variety of locations. Among the locations we know about, some were in Los Angeles, others in Macedonia, and, yes, others were in Russia. The Angelenos aimed to make money and sow chaos. The Macedonians wanted to get rich. And the Russians aimed to weaken Hillary Clinton’s candidacy for president, foster division around fraught social issues, and make a spectacle out of the U.S. election. To these ends, the Russians mobilized trolls, bots, and so-called “useful idiots,” along with sophisticated ad-tracking and micro-targeting techniques to strategically distribute and amplify propaganda. The attacks are ongoing.
Cheap distribution and easy user targeting on social media enable the rapid spread of disinformation. Disinformative content, like other online political advertising, is “micro-targeted” at narrow segments of the electorate, based on their narrow political views or biases. The targeting aims to polarize and fragment the electorate. Tracing the money behind this kind of messaging is next to impossible under current regulations and advertising platforms’ current policies. Voters’ inability to “follow the money” has implications for our democracy, even in the absence of disinformation. And of course, an untraceable flood of disinformation prior to an election stands to undermine voters’ ability to choose the candidate that best aligns with their preferences.
This is the first academic work to show the need for, or to offer, a regulatory framework for exchange-traded funds (“ETFs”). The economic significance of this financial innovation is enormous. U.S.-listed ETFs now hold more than $3.6 trillion in assets and comprise seven of the country’s ten most actively traded securities. ETFs also possess an array of unique characteristics raising distinctive concerns. They offer what we here conceptualize as a nearly frictionless portal to a bewildering, continually expanding universe of plain vanilla and arcane asset classes, passive and active investment strategies, and long, short, and leveraged exposures. And we argue that ETFs are defined by a novel, model-driven device that we refer to as the “arbitrage mechanism,” a device that has sometimes failed catastrophically. These new products and the underlying innovation process create special risks for investors and the financial system.
Recent antitrust decisions and policy initiatives by both the Department of Justice (“DOJ”) and Department of Transportation (“DOT”) have shaped the current U.S. airline landscape. The consolidation trend is not unique to the U.S. domestic air transportation market. The emergence of three global airline alliances—together accounting for around 80% of air traffic across the transatlantic, transpacific, and Europe–Asia markets—has transformed the international air transportation market as well. This Note evaluates the results of the DOJ’s antitrust approach to U.S. airline mergers and reconciles these results with the DOT’s “public interest” emphasis in determining airline applications for antitrust immunity (“ATI”). Given the current domestic market, it is likely that the remaining legacy carriers will leverage their respective global alliances and seek ATI with foreign airlines for continued network growth.
Part I of this Note tracks the tumultuous history of the U.S. airline industry from deregulation to its current health. Part II presents the legal framework, including U.S. antitrust laws, that govern domestic airline mergers and international ATI. Part III proposes practical solutions for the DOT to improve the ATI regulatory process and incubate open market competition, thereby better serving passengers and airlines by edging closer to deregulation.
This Article examines what we term “regulatory entrepreneurship”—pursuing a line of business in which changing the law is a significant part of the business plan. Regulatory entrepreneurship is not new, but it has become increasingly salient in recent years as companies from Airbnb to Tesla, and from DraftKings to Uber, have become agents of legal change. We document the tactics that companies have employed, including operating in legal gray areas, growing “too big to ban,” and mobilizing users for political support. Further, we theorize the business and law-related factors that foster regulatory entrepreneurship. Well-funded, scalable, and highly connected startup businesses with mass appeal have advantages, especially when they target state and local laws and litigate them in the political sphere instead of in court.
Finally, we predict that regulatory entrepreneurship will increase, driven by significant state and local policy issues, strong institutional support for startup companies, and continued technological progress that facilitates political mobilization. We explore how this could catalyze new coalitions, lower the cost of political participation, and improve policymaking. However, it could also lead to negative consequences when companies’ interests diverge from the public interest.
A new breed of “app-based” ride-for-hire providers has caused a stir in California, helped rewrite the state’s rules governing ridesharing, and stoked tensions among taxicab drivers, state and local regulators, and the technology companies behind the new apps. UberX, Lyft, and Sidecar are among the most well-known of the new app-based rideshare services, which allow customers to hail a ride using smartphone applications by connecting them with drivers who also use the apps. Critically, the drivers need not be professionals; rather, they merely need to have downloaded a ridesharing app and been cleared by the app provider to drive. For a time, the app-based rideshare companies pointed to these novel aspects of their services to flout regulation entirely. New laws and rules in California, however, provide for the regulation of the nascent industry under a statewide scheme mandating insurance coverage, driver background checks, and other safety-based requirements. In substance, the new rules signal the state’s tacit approval of the development of app-based ridesharing services. Users of these app-based services, which are currently available only in major metropolitan areas like Los Angeles, have been impressed by the apps’ lower prices and perceived higher quality of service.