191 results for machine learning

Machine Learning and Law

Surden, Harry

Washington Law Review · 2014 · English · Law Review Commons

Part I of this Article explains the basic concepts underlying machine learning. Part II will convey a more general principle: non-intelligent computer algorithms can sometimes produce intelligent results in complex tasks through the use of suitable proxies detected in data. Part III will explore…

Quantum Machine Learning: A Patent Review

Haney, Brian S.

Journal of Law, Technology, & the Internet · 2020 · English · Law Review Commons

One of the central problems bottlenecking machine learning research is classical computational power limits. Quantum computing provides a solution, offering more processing power for less electric cost. Quantum Machine Learning (QML) is a research field at the intersection of quantum computing and…

Machine Learning and the New Civil Procedure

Niesel, Zoe

SMU Law Review · 2020 · English · Law Review Commons

There is an increasing emphasis in the legal academy, the media, and the popular consciousness on how artificial intelligence and machine learning will change the foundations of legal practice. In concert with these discussions, a critical question needs to be explored—As computer programming…

THE PROMISE OF MACHINE LEARNING FOR PATENT LANDSCAPING

Toole, Andrew A.; Pairolero, Nicholas A.; Forman, James Q. et al.

Santa Clara High Technology Law Journal · 2020 · English · Law Review Commons

THE PROMISE OF MACHINE LEARNING FOR PATENT LANDSCAPING

The Disparate Impact of Artificial Intelligence and Machine Learning

Polek, Christine; Sandy, Shastri

Colorado Technology Law Journal · 2023 · English · Law Review Commons

The American Way - Until Machine Learning Algorithm Beats the Law?

Gikay, Asress Adimi

Journal of Law, Technology, & the Internet · 2020 · English · Law Review Commons

…the increasing sophistication of Artificial Intelligence (AI), especially machine learning, place both the EU and the US legal regimes in similar position as neither jurisdiction is equipped to respond to autonomous, unpredictable, and unexplainable algorithms making decisions. While the EU’s…

Narrowing the Universe: A Machine Learning Approach to Patent Clearance

Weires, Rebecca; Rosefelt, Joshua; Meylor, Katelyn et al.

Chicago-Kent Journal of Intellectual Property · 2021 · English · Law Review Commons

…able to quantify and mitigate their own patent infringement risk. We used machine learning methods, informed by legal scholars’ understanding of relevant patent traits, to improve on prior attempts to predict litigation. We built primarily on Colleen Chien’s Predicting Patent Litigation. Chien used…

Machine Learning-Based Medical Devices: the FDA’s Regulation, Requirements, and Restrictions

Beam, Charli

Journal of Law and Health · 2022 · English · Law Review Commons

The FDA should create functional regulations for the growing number of machine learning medical devices. The healthcare system is increasingly using these devices for diagnosis. Machine learning devices trained on biased data sets are susceptible to furthering certain types of bias and generating…

ARTIFICIAL INTELLIGENCE/ MACHINE LEARNING-BASED MEDICAL DEVICES: REGULATORY AND PATENTABILITY CHALLENGES

Lee, May

Penn State Journal of Law & International Affairs (2012 - Present) · 2022 · English · Law Review Commons

Artificial Intelligence, Machine Learning, and Bias in Finance: Toward Responsible Innovation

Johnson, Kristin; Pasquale, Frank; Chapman, Jennifer

Fordham Law Review · 2019 · English · Law Review Commons

According to some futurists, financial markets’ automation will substitute increasingly sophisticated, objective, analytical, model-based assessments of, for example, a borrower’s creditworthiness for direct human evaluations irrevocably tainted by bias and subject to the cognitive limits of the…

Exploration and Exploitation: An Essay on (Machine) Learning, Algorithms, and Information Provision

Desai, Deven

Loyola University Chicago Law Journal · 2015 · English · Law Review Commons

…or try new options that may yield better results. Work in organizational learning describes this problem as the exploration-exploitation dilemma. Understanding and addressing that dilemma has become a key part of an algorithmic approach to computation, machine learning, as it is applied to…

BEYOND DATA DELETION: ADDRESSING ANTICOMPETITIVE CONDUCT IN THE ERA OF MACHINE LEARNING

Srikaran, Vaibhav

Washington Journal of Law, Technology & Arts · 2025 · English · Law Review Commons

…that their army of data scientists can make sense of all the noise using machine learning. Potential profits encourage companies to seek out data—sometimes unlawfully through collusion. The use of unlawfully collected data in algorithms harms competition. Such data provides a competitive edge that…

Beyond the Iudex Threshold: Human Oversight as the Conscience of Machine Learning

Albert, E. Jason; Brown, Jessica E.

Colorado Technology Law Journal · 2024 · English · Law Review Commons

Evolving Privacy Protections for Emerging Machine Learning Data Under Carpenter v. United States

Nicolella, Emily

FIU Law Review · 2023 · English · Law Review Commons

…that is constantly being collected by tech companies through the use of machine learning algorithms. Companies like Facebook and Google use machine learning to specifically tailor each user’s experience to their individual preferences. To do so, machine learning algorithms constantly collect…

Explaining Compassionate Release: A Machine Learning Study of Sentencing Modifications & Judicial Decision Making

Alderman, Max; Barfar, Arash; Edberg, Dana

Loyola of Los Angeles Law Review · 2026 · English · Law Review Commons

…compassionate-release decision making. Until now. Using cutting-edge machine-learning tools in a mixed- methods research design, we built two algorithmic models to analyze the impact of 149 variables on 553 compassionate-release decisions. Our first, “all-inclusive” model determined with…

Tinker-ing with Machine Learning: The Legality and Consequences of Online Surveillance of Students

Cyphert, Amy B.

Nevada Law Journal · 2020 · English · Law Review Commons

Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law

Wachter, Sandra; Mittelstadt, Brent; Russell, Chris

West Virginia Law Review · 2021 · English · Law Review Commons

Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. Algorithms trained on biased data will, without intervention, produce biased outcomes and increase the inequality experienced by historically…

Wild Westworld: Section 230 of the CDA and Social Networks’ Use of Machine-Learning Algorithms

Tremble, Catherine

Fordham Law Review · 2017 · English · Law Review Commons

This Note argues that Facebook’s services—specifically the personalization of content through machine-learning algorithms—constitute the “development” of content and as such do not qualify for § 230 immunity. This Note analyzes the evolution of § 230 jurisprudence to help inform the development of…

Artificial Intelligence in the Courtroom: The Delivery of Justice in the Age of Machine Learning

Campbell, Ray Worthy

Colorado Technology Law Journal · 2020 · English · Law Review Commons

Artificial Intelligence and Machine Learning Improving the Livelihood of Individuals with Disabilities in Various Capacities

Lilly, Daveon

West Virginia Law Review · 2026 · English · Law Review Commons

Artificial Intelligence (“AI”) and Machine Learning (“ML”) are swiftly reshaping accessibility for individuals with disabilities, offering fresh opportunities for inclusion in education, the workplace, and daily life. This Note explores the integration of AI and ML into assistive technologies and…