Law Commons^™

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

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 …

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

Articles in Law Reviews & Other Academic 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 …

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 …

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. …