Academic
Academic
Proceedings of the Natural Legal Language Processing Workshop 2023
This talk situates the rising field of NLLP in the context of legal scholarship and practice.It will examine how the field relates to existing inquiries …
A Computational Evaluation of Two Laws of Semantic Change
For more than a century scholars have proposed laws of se-\nmantic change that characterize how words change in meaning\nover time. Two such laws are the …
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 …
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
A governance model for the application of AI in health care
Abstract As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be …
Who is responsible? US Public perceptions of AI governance through the lenses of trust and …
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted …
The Judicial Demand for Explainable Artificial Intelligence
A recurrent concern about machine learning algorithms is that they operate as “black boxes,” making it difficult to identify how and why the algorithms reach …
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 …
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued …
Russian Court Decisions Data Analysis Using Distributed Computing and Machine Learning to Improve Lawmaking and …
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 …