Law Commons^™

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 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 …

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 …

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 …

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 …