The Scored Society: Due Process for Automated Predictions
Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we are good credit risks, desirable employees, reliable tenants, valuable customers—or deadbeats, shirkers, menaces, and “wastes of time.” Crucial opportunities are on the line, including the...
Prediction, persuasion, and the jurisprudence of behaviourism
There is a growing literature critiquing the unreflective application of big data, predictive analytics, artificial intelligence, and machine-learning techniques to social problems. Such methods may reflect biases rather than reasoned decision making. They also may leave those affected by automated...
Banana republic: copyright law and the extractive logic of generative AI
Abstract This article uses Maurizio Cattelan’s Comedian, a banana duct-taped to a gallery wall, as a metaphor to examine the extractive dynamics of generative artificial intelligence (AI). It argues that the AI-driven creative economy replicates colonial patterns of appropriation, transforming...
“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...
Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions
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...
Algorithmic Bias in Hiring Algorithms: A Kenyan Perspective
The use of machine learning algorithms has permeated into nearly all aspects of life. With this steady integration, tasks previously handled by humans are increasingly falling into the ‘hands’ of machines. Ideally this would be celebrated as a great improvement...
Digital learning ecosystem at educational institutions: A content analysis of scholarly discourse
This paper explored the characteristics of the digital learning ecosystem (DLE) in educational institutions based on the analysis of English scholarly discourse from various sources between 2002 and 2021. The content analysis method was used to examine core conceptual elements...
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
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 keys to sustainable competitive advantage
Geometric conservation laws for flow problems with moving boundaries and deformable meshes, and their impact on aeroelastic computations
Russian Court Decisions Data Analysis Using Distributed Computing and Machine Learning to Improve Lawmaking and Law Enforcement
This article describes the study results of semi-structured data processing and analysis of the Russian court decisions (almost 30 million) using distributed cluster-computing framework and machine learning. Spark was used for data processing and decisions trees were used for analysis....
Introduction
The legal profession is facing an era of change driven by technological advancements, environmental crises, shifting client expectations, and evolving societal norms. This article argues that flexibility and resilience are not just positive personality traits but essential legal skills that...
Natural language processing and query expansion in legal information retrieval: Challenges and a response
As methods in legal information retrieval (IR) evolve to meet the demands of rapidly increasing stores of electronic information, there is the intuitive appeal of capturing detail in legal queries with natural language processing (NLP). One difficulty with this approach...
A conservation law related to kelvin's circulation theorem
The Way Forward for Legal Knowledge Engineers in the Big Data Era with the Impact of AI Technology
In the era of big data, the application of AI technology has become a core driver of social development, widely affecting a wide range of fields and impacting on the development models of various industries. With changing business models and...
A predictive performance comparison of machine learning models for judicial cases
Artificial intelligence is currently in the center of attention of legal professionals. In recent years, a variety of efforts have been made to predict judicial decisions using different machine learning models, but no realistic performance comparison between them is available....
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
With the rise of AI, algorithms have become better at learning underlying patterns from the training data including ingrained social biases based on gender, race, etc. Deployment of such algorithms to domains such as hiring, healthcare, law enforcement, etc. has...
Aether, Radiation, Mass-Energy Law, Gravity and Inertia
The universal space, crisscrossed by electric fields from electric charges in bodies, is proposed to be the aether as a physical medium conceived by Maxwell, Einstein and others. The fields, in accordance with Coulomb’s law, balance out everywhere. Permittivity and...
The intellectual property road to the knowledge economy: remarks on the readiness of the UAE Copyright Act to drive AI innovation
Copyright law in the United Arab Emirates (UAE) has the capacity to address the challenges associated with artificial intelligence (AI)-generated literary, artistic and scientific works. Under UAE copyright law, AI-generated works may qualify as copyright subject matter despite the non-human...
Beyond Personhood
This paper examines the evolution of legal personhood and explores whether historical precedents—from corporate personhood to environmental legal recognition—can inform frameworks for governing artificial intelligence (AI). By tracing the development of persona ficta in Roman law and subsequent expansions of...
Office of Culture & Community
Our community brings together those with diverse backgrounds, perspectives, identities, and preferences, and each member contributes to school life through their own distinctive set of viewpoints, experiences, and ideas.We celebrate this diversity. We cherish it.We believe that it can fully...
Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint
This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of medical education. These challenges include not only ethical concerns related to the development of LLMs, such as artificial...
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...
This Is Vanderbilt
1 Collectively striving to succeed Immersive Learning Benefit from close-knit residential education and experiential learning in the classroom and beyond. Integrated Research Working across institutions, Vanderbilt bridges disciplines to solve the great challenges of our time. Collaborative Discovery Collaborative culture...
AI-based Legal Technology: A Critical Assessment of the Current Use of Artificial Intelligence in Legal Practice
In recent years, disruptive legal technology has been on the rise. Currently, several AI-based tools are being deployed across the legal field, including the judiciary. Although many of these innovative tools claim to make the legal profession more efficient and...
Geometric Conservation Law and Its Application to Flow Computations on Moving Grids
Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation laws is carried out. This method entails difficulties with maintenance of global conservation and with...
A hybrid CNN + BILSTM deep learning-based DSS for efficient prediction of judicial case decisions