FedSCS-XGB -- Federated Server-centric surrogate XGBoost for continual health monitoring
arXiv:2603.06224v1 Announce Type: new Abstract: Wearable sensors with local data processing can detect health threats early, enhance documentation, and support personalized therapy. In the context of spinal cord injury (SCI), which involves risks such as pressure injuries and blood pressure...
Litigation Outcome Prediction of Differing Site Condition Disputes through Machine Learning Models
The construction industry is one of the main sectors of the U.S. economy that has a major effect on the nation’s growth and prosperity. The construction industry’s contribution to the nation’s economy is, however, impeded by the increasing number of...
Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models
Career Services
Vanderbilt Law School’s Career Services Team provides students with the resources and support they need to achieve their career goals. Career counselors meet individually with students on a regular basis to learn how to develop resumes, emphasize strengths, and identify...
Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?
The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role of human judgment. Concerns about newer digital technologies becoming a new source...
Boston University Law Review Online Symposia
WLR Print
The Wisconsin Law Review is a student-run journal of legal analysis and commentary that is used by professors, judges, practitioners, and others researching contemporary legal topics. The Wisconsin Law Review, which is published six times each year, includes professional and...
Auditing Algorithms for Discrimination
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective in ensuring the fairness of algorithms than insisting on transparency. When it comes to combating...
Trustworthy AI and Corporate Governance: The EU’s Ethics Guidelines for Trustworthy Artificial Intelligence from a Company Law Perspective
Abstract AI will change many aspects of the world we live in, including the way corporations are governed. Many efficiencies and improvements are likely, but there are also potential dangers, including the threat of harmful impacts on third parties, discriminatory...
An Adaptive Conceptualisation of Artificial Intelligence and the Law, Regulation and Ethics
The description of a combination of technologies as ‘artificial intelligence’ (AI) is misleading. To ascribe intelligence to a statistical model without human attribution points towards an attempt at shifting legal, social, and ethical responsibilities to machines. This paper exposes the...
Volume 2025, No. 2
Residual State Power to Regulate Presidential Qualifications in The Wake Of Trump v. Anderson and Moore v. Harper by Vikram David Amar; History, Tradition, and Voter Registration by Joshua A. Douglas; “The Real Preference Of Voters”: Madison’s Idea of a...
Reconciling Legal and Technical Approaches to Algorithmic Bias
In recent years, there has been a proliferation of papers in the algorithmic fairness literature proposing various technical definitions of algorithmic bias and methods to mitigate bias. Whether these algorithmic bias mitigation methods would be permissible from a legal perspective...
Wisconsin Law Review’s 2025 Symposium
The Wisconsin Law Review presents: The Shadow Carceral State Registration available here.Date and Time Friday, September 26 9:00am – 5:30pm CDT Location Madison Museum of Contemporary Art 227 State Street Madison, WI 53703 CLE for this event is pending.Summary On...
Algorithmic discrimination in the credit domain: what do we know about it?
Abstract The widespread usage of machine learning systems and econometric methods in the credit domain has transformed the decision-making process for evaluating loan applications. Automated analysis of credit applications diminishes the subjectivity of the decision-making process. On the other hand,...
Fairness-Aware Machine Learning
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and the potential for such systems to discriminate against certain population groups, due to biases in...
The intersection of AI and legal expertise: Transforming knowledge work in the legal profession
This article explores the transformative impact of artificial intelligence on legal knowledge work, examining the evolution from traditional document-centric processes to sophisticated AI-augmented workflows. The article shows the technological foundations of legal AI systems, highlighting the capabilities and limitations of...
Petitioning and Creating Rights: Judicialization in Argentina
Courts and the law are playing an increasingly important political role. Courts are redefining public policies decided by representative authorities, and citizens are using the law and rights-framed discourses as political tools to address private and social demands, as well...
Data Science Data Governance [AI Ethics]
This article summarizes best practices by organizations to manage their data, which should encompass the full range of responsibilities borne by the use of data in automated decision making, including data security, privacy, avoidance of undue discrimination, accountability, and transparency.
Research
1Interdisciplinary ApproachResearch at Vanderbilt draws on the belief that great breakthroughs happen when different ideas, disciplines and areas of expertise come together. As a result, Vanderbilt is dedicated to fostering cross-disciplinary collaborations that can expand the framework for what is...
Critical perspectives on AI in education: political economy, discrimination, commercialization, governance and ethics
AI in education is not only a challenging area of technical development and educational innovation, but increasingly the focus of critical analysis informed by the social sciences, philosophy and theory. This chapter provides an overview of critical perspectives on AI...
Approaches to Protecting Intellectual Property Rights in Open-Source Software and AI-Generated Products, Including Copyright Protection in AI Training.
China’s regulatory approaches to open-source resources and software deserve special attention due to the widespread global use of Chinese-developed solutions. China’s activity in the open-source software sector surged in 2020, laying the foundation for the type of innovations seen today....
Curbing Gun Violence Under PLCAA and Bruen: State Attorney General–Driven Solutions to the Surging Epidemic lawreview - Minnesota Law Review
By David Lamb. Full Text. At the same time that the deadly toll of gun violence continues to grow in the U.S., now taking nearly 50,000 lives per year, federal lawmakers and courts have increasingly constrained government authorities’ tools for...
Scholarship@Vanderbilt Law
<div id="homepage-intro"> <p>Vanderbilt Law School's national reputation has its basis in our rigorous academic program, which is developed and delivered by our faculty of top legal scholars. A Vanderbilt legal education prepares you for the complete spectrum of career opportunities...
BETTING ON THE FUTURE: DISCUSSING PATHS FORWARD FOR MINNESOTA TO LEGALIZE SPORTS BETTING - Minnesota Law Review
By Benjamin Albert Halevy, Volume 108 Staff Member From pull-tab vending machines at bars to tribe-owned casinos sporting slot machines and blackjack tables, Minnesota is no stranger to gambling within its borders. Yet, sports gambling, the fastest growing sector of...
Exempt but Not Immune: Why the Section 501(c)(3) Tax Exemption Amounts to Federal Financial Assistance and Demands that Private Schools Comply with Title IX lawreview - Minnesota Law Review
By ELLEN BART. Full Text. Title IX of the Education Amendments Act of 1972 (Title IX) prohibits discrimination on the basis of sex in education programs and activities that receive federal financial assistance and ensures that federal funds are not...
Volume 2025, No. 4
How Not to Democratize Algorithms by Ngozi Okidegbe; Missing Children Discrimination by Itay Ravid & Tanisha Brown; Justifications for Fair Uses by Pamela Samuelson; Section Three of the Fourteenth Amendment from the Perspective of Section Two of the Fourteenth Amendment...
Generative artificial intelligence empowers educational reform: current status, issues, and prospects
The emergence of Chat GPT has once again sparked a wave of information revolution in generative artificial intelligence. This article provides a detailed overview of the development and technical support of generative artificial intelligence. It conducts an in-depth analysis of...
Artificial intelligence (AI) and financial technology (FinTech) in Tanzania; legal and regulatory issues
Purpose This paper aims to investigate the legal challenges arising from the increasing integration of artificial intelligence (AI) within the financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, as well as ethical concerns...
The Dilemma and Countermeasures of AI in Educational Application
This paper divides the application of AI in education into three categories, namely, students-oriented AI, teachers-oriented AI and school mangers -oriented AI, which focuses on the individualized self-adaptive learning of students, the assisted teaching of teachers and the service management...