A Comparative Study of Undue Influence and Unfair Conduct in Contract Law Using NLP and Knowledge Graphs: Bridging Common Law and Chinese Legal Systems Through Computational Legal Intelligence
This study explores intelligent identification methods for undue influence and grossly unfair clauses from the cross-perspectives of artificial intelligence and comparative contract law, focusing on the integration of intelligent text analysis and legal knowledge graph technology. By constructing a dual...
Data protection law and the regulation of artificial intelligence: a two-way discourse
The paper aims to analyse the relationship between the law on the protection of personal data and the regulation of artificial intelligence, in search of synergies and with a view to a complementary application to automated processing and decision-making. In...
Judicial Justice and the European Regulation on Artificial Intelligence
The study has identified several difficulties in effectively implementing artificial inteligence (AI) techniques in judicial proceedings. The approval of regulations, such as Spain's Royal Decree-Law 6/2023, is insufficient for Judges and legal professionals to use these technologies effectively. Several reasons...
Navigating the Grey Area: Copyright Implications of AI Generated Content
Pervasive Computational Law
Computational law has its limits—whether these come from the very nature of the law itself or from technical limitations. By reviewing these limits, two conclusions become clear: That interdisciplinary solutions are a must, and that only a subset of law...
Exacerbating Algorithmic Bias through Fairness Attacks
Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning algorithms. Despite this interest, the robustness of those fairness measures with respect to an intentional adversarial attack has...
Russian experience of using digital technologies and legal risks of AI
The aim of the present article is to analyze the Russian experience of using digital technologies in law and legal risks of artificial intelligence (AI). The result of the present research is the author’s conclusion on the necessity of the...
Artificial Intelligence and Space Technologies: Legal, Ethical and Technological Issues
The article is devoted to the study of the specifics of the legal regulation of the use and development of artificial intelligence for the space area and the related issues of observation of fundamental human rights. Some approaches to the...
Predicting risk in criminal procedure: actuarial tools, algorithms, AI and judicial decision-making
Risk assessments are conducted at a number of decision points in criminal procedure including in bail, sentencing and parole as well as in determining extended supervision and continuing detention orders of high-risk offenders. Such risk assessments have traditionally been the...
Ethical governance is essential to building trust in robotics and artificial intelligence systems
This paper explores the question of ethical governance for robotics and artificial intelligence (AI) systems. We outline a roadmap—which links a number of elements, including ethics, standards, regulation, responsible research and innovation, and public engagement—as a framework to guide ethical...
Standard Structure of Legal Provisions -For The Legal Knowledge Processing by Natural Language-
“AI Am Here to Represent You”: Understanding How Institutional Logics Shape Attitudes Toward Intelligent Technologies in Legal Work
The implementation of artificial intelligence (AI) in work is increasingly common across industries and professions. This study explores professional discourse around perceptions and use of intelligent technologies in the legal industry. Drawing on institutional theory, we conducted 30 semi-structured interviews...
Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action
Data augmentation for fairness-aware machine learning
Researchers and practitioners in the fairness community have highlighted the ethical and legal challenges of using biased datasets in data-driven systems, with algorithmic bias being a major concern. Despite the rapidly growing body of literature on fairness in algorithmic decision-making,...
Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications
The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rely on machine learning and big data analytics for customer profiling,...
Public Interest
The Vanderbilt Law School Public Interest Office prepares students for fulfilling and sustainable public interest careers through robust advising, programming, and community support. It fosters a culture of public service by providing the vision, training, and opportunities to serve the...
Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers
Predicting outcomes of legal cases may aid in the understanding of the judicial decision-making process. Outcomes can be predicted based on i) case-specific legal factors such as type of evidence ii) extra-legal factors such as the ideological direction of the...
Admissions
Undergraduate Admissions Graduate & Professional Admissions Financial Aid
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
Abstract Background This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation and legal aspects (such as civil law, international law, tort law, liability,...
In search of effectiveness and fairness in proving algorithmic discrimination in EU law
Examples of discriminatory algorithmic recruitment of workers have triggered a debate on application of the non-discrimination principle in the EU. Algorithms challenge two principles in the system of evidence in EU non-discrimination law. The first is effectiveness, given that due...
What's Next for AI Ethics, Policy, and Governance? A Global Overview
Since 2016, more than 80 AI ethics documents - including codes, principles, frameworks, and policy strategies - have been produced by corporations, governments, and NGOs. In this paper, we examine three topics of importance related to our ongoing empirical study...
Governing artificial intelligence: ethical, legal and technical opportunities and challenges
This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare...
Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems [Scanning the Issue]
The so-called fourth industrial revolution and its economic and societal implications are no longer solely an academic concern, but a matter for political as well as public debate. Characterized as the convergence of robotics, AI, autonomous systems and information technology...
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 Risk-Based Approach of the European Union’s Proposed Artificial Intelligence Regulation: Some Comments from a Tort Law Perspective
Abstract How can tort law contribute to a better understanding of the risk-based approach in the European Union’s (EU) Artificial Intelligence Act proposal and evolving liability regime? In a new legal area of intense development, it is pivotal to make...
Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal...
Essential but Excluded: Vending in the Time of Corona
Immigrants, those with legal status and those without, individuals returning from incarceration, and individuals with time-consuming childcare and other family obligations often look to start microenterprises like street vending to provide for themselves and their families. However, many municipalities in...
About the Annual Review of Criminal Procedure