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Articles 1 - 9 of 9
Full-Text Articles in Law
Securities Law: Overview And Contemporary Issues, Neal Newman, Lawrence J. Trautman
Securities Law: Overview And Contemporary Issues, Neal Newman, Lawrence J. Trautman
Faculty Scholarship
This is not your grandfather’s SEC anymore. Rapid technological change has resulted in novel regulatory issues and challenges, as law and policy struggles to keep pace. The U.S. Securities and Exchange Commission (SEC) reports that “the U.S. capital markets are the deepest, most dynamic, and most liquid in the world. They also have evolved to become increasingly fast and extraordinarily complex. It is our job to be responsive and innovative in the face of significant market developments and trends.” With global markets increasingly interdependent and interconnected and, “as technological advancements and commercial developments have changed how our securities markets operate, …
Data Autonomy, Cesare Fracassi, William Magnuson
Data Autonomy, Cesare Fracassi, William Magnuson
Faculty Scholarship
In recent years, “data privacy” has vaulted to the forefront of public attention. Scholars, policymakers, and the media have, nearly in unison, decried the lack of data privacy in the modern world. In response, they have put forth various proposals to remedy the situation, from the imposition of fiduciary obligations on technology platforms to the creation of rights to be forgotten for individuals. All these proposals, however, share one essential assumption: we must raise greater protective barriers around data. As a scholar of corporate finance and a scholar of corporate law, respectively, we find this assumption problematic. Data, after all, …
Three Deft Kicks To The Problem Of Cyberbullying, Anita Bernstein
Three Deft Kicks To The Problem Of Cyberbullying, Anita Bernstein
Faculty Scholarship
No abstract provided.
A Unified Theory Of Data, William Magnuson
A Unified Theory Of Data, William Magnuson
Faculty Scholarship
How does the proliferation of data in our modern economy affect our legal system? Scholars that have addressed the question have nearly universally agreed that the dramatic increases in the amount of data available to companies, as well as the new uses to which that data is being put, raise fundamental problems for our regulatory structures. But just what those problems might be remains an area of deep disagreement. Some argue that the problem with data is that current uses lead to discriminatory results that harm minority groups. Some argue that the problem with data is that it impinges on …
Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim
Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim
Faculty Scholarship
The shift towards the use of algorithms in business has transformed merchant–consumer interactions. Products and services are increasingly tailored for consumers through algorithms that collect and analyze vast amounts of data from interconnected devices, digital platforms, and social networks. While traditionally merchants and marketeers have utilized market segmentation, customer demographic profiles, and statistical approaches, the exponential increase in consumer data and computing power enables them to develop and implement algorithmic techniques that change consumer markets and society as a whole. Algorithms enable targeting of consumers more effectively, in real-time, and with high predictive accuracy in pricing and profiling strategies. In …
Beyond Transparency And Accountability: Three Additional Features Algorithm Designers Should Build Into Intelligent Platforms, Peter K. Yu
Faculty Scholarship
In the age of artificial intelligence, innovative businesses are eager to deploy intelligent platforms to detect and recognize patterns, predict customer choices and shape user preferences. Yet such deployment has brought along the widely documented problems of automated systems, including coding errors, corrupt data, algorithmic biases, accountability deficits and dehumanizing tendencies. In response to these problems, policymakers, commentators and consumer advocates have increasingly called on businesses seeking to ride the artificial intelligence wave to build transparency and accountability into algorithmic designs.
While acknowledging these calls for action and appreciating the benefits and urgency of building transparency and accountability into algorithmic …
The Easterbrook Theorem: An Application To Digital Markets, Joshua D. Wright, Murat C. Mungan
The Easterbrook Theorem: An Application To Digital Markets, Joshua D. Wright, Murat C. Mungan
Faculty Scholarship
The rise of large firms in the digital economy, including Amazon, Apple, Facebook, and Google, has rekindled the debate about monopolization law. There are proposals to make finding liability easier against alleged digital monopolists by relaxing substantive standards; to flip burdens of proof; and to overturn broad swaths of existing Supreme Court precedent, and even to condemn a law review article. Frank Easterbrook’s seminal 1984 article, The Limits of Antitrust, theorizes that Type I error costs are greater than Type II error costs in the antitrust context, a proposition that has been woven deeply into antitrust law by the Supreme …
Conundra Of The Berne Convention Concept Of The Country Of Origin, Jane C. Ginsburg
Conundra Of The Berne Convention Concept Of The Country Of Origin, Jane C. Ginsburg
Faculty Scholarship
This essay explores one of the most important, but occasionally intractable, issues under the Berne Convention, the concept of Country of Origin. Article 5(4) of that treaty defines a work’s country of origin, but leaves out several situations, leaving those who interpret and apply the treaty without guidance in ascertaining the country of origin. I will call those situations the “Conundra of the country of origin,” and will explore two of them here. First, what is the country of origin of an unpublished work whose authors are nationals of different countries? Second, what is the country of origin of a …
Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann
Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann
Faculty Scholarship
The proliferation of artificial intelligence in our daily lives has spawned a burgeoning literature on the dawn of dehumanized, algorithmic governance. Remarkably, the scholarly discourse overwhelmingly fails to acknowledge that automated, non-human governance has long been a reality. For more than a century, policymakers have relied on regulations that automatically adjust to changing circumstances, without the need for human intervention. This article surveys the track record of self-adjusting governance mechanisms to propose a normative theory of automated regulation.
Effective policymaking frequently requires anticipation of future developments, from technology innovation to geopolitical change. Self-adjusting regulation offers an insurance policy against the …