Law Commons^™

Technology Regulation By Default: Platforms, Privacy, And The Cfpb, Rory Van Loo

Faculty Scholarship

In the absence of a technology-focused regulator, diverse administrative agencies have been forced to develop regulatory models for governing their sphere of the data economy. These largely uncoordinated efforts offer a laboratory of regulatory experimentation on governance architecture. This symposium essay explores what the Consumer Financial Protection Bureau (CFPB) has done in its first several years to regulate financial technology (“fintech”), in the context of broader technology-related concerns identified in the literature. It begins with a survey of what the CFPB has undertaken using more traditional administrative agency tools—enforcement and rulemaking—in areas such as privacy, consumer control over data, and …

How Copyright Law Can Fix Artificial Intelligence's Implicit Bias Problem, Amanda Levendowski

Georgetown Law Faculty Publications and Other Works

As the use of artificial intelligence (AI) continues to spread, we have seen an increase in examples of AI systems reflecting or exacerbating societal bias, from racist facial recognition to sexist natural language processing. These biases threaten to overshadow AI’s technological gains and potential benefits. While legal and computer science scholars have analyzed many sources of bias, including the unexamined assumptions of its often homogenous creators, flawed algorithms, and incomplete datasets, the role of the law itself has been largely ignored. Yet just as code and culture play significant roles in how AI agents learn about and act in the …

A Legal Perspective On The Trials And Tribulations Of Ai: How Artificial Intelligence, The Internet Of Things, Smart Contracts, And Other Technologies Will Affect The Law, Iria Giuffrida, Fredric Lederer, Nicolas Vermeys

Faculty Publications

No abstract provided.

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

Faculty Scholarship

No abstract provided.

Ethics Meets The “O” In Dr, Elayne E. Greenberg

Faculty Publications

(Excerpt)

Lawyers, the menu of justice options available to resolve your clients’ legal disputes has now expanded to include online dispute resolution processes. Online dispute resolution (ODR) is an umbrella term that may be used to describe the use of technology to help expedite legal case management, replicate existing dispute resolution processes online, such as by utilizing video conferencing for arbitration and mediation (“replication ODR”); or to help streamline or even resolve legal claims through the use of algorithms (“algorithm ODR” or “algorithm- based ODR”). Even though ODR is fast becoming a regular part of legal practice, generally, and dispute …

Medical Malpractice And Black-Box Medicine, W. Nicholson Price Ii

Book Chapters

The explosive proliferation of health data has combined with the rapid development of machine-learning algorithms to enable a new form of medicine: “black-box medicine.” In this phenomenon, algorithms troll through tremendous databases of health data to find patterns that can be used to guide care, whether by predicting unknown patient risks, selecting the right drug, suggesting a new use of an old drug, or triaging patients to preserve health resources. These decisions differ from previous data-based decisions because black-box medicine is, by its nature, opaque; that is, the bases for black-box decisions are unknown and unknowable.

Black-box medicine raises a …

Bias In, Bias Out, Sandra G. Mayson

All Faculty Scholarship

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impacts. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race; (2) adjustments to algorithmic design to equalize predictions across racial lines; and (3) rejection of algorithmic methods altogether.

This Article’s central claim is that these strategies are at best superficial and at worst counterproductive because the source of racial inequality in risk assessment lies …

Results May Vary, Susan Nevelow Mart

Publications

No abstract provided.

Understanding The Human Element In Search Algorithms And Discovering How It Affects Search Results, Susan Nevelow Mart

Publications

When legal researchers search in online databases for the information they need to solve a legal problem, they need to remember that the algorithms that are returning results to them were designed by humans. The world of legal research is a human-constructed world, and the biases and assumptions the teams of humans that construct the online world bring to the task are imported into the systems we use for research. This article takes a look at what happens when six different teams of humans set out to solve the same problem: how to return results relevant to a searcher’s query …

Bloomberg’S Points Of Law: Can They Compete With Headnotes?, Jill Sturgeon

Publications

No abstract provided.

The Gdpr’S Version Of Algorithmic Accountability, Margot Kaminski

Publications

No abstract provided.