- ICMRA 系列讲座

Judicial Systems as Objects of Scientific Inquiry: Learning, Uncertainty, and Institutional Dynamics

组织者

张晓明

演讲者

Nubia Regina Ventura

时间

2026年06月11日 15:30 至 16:30

地点

A6-101

线上

Zoom 204 323 0165 (BIMSA)

摘要

What can machine learning reveal about the hidden structure of law, and what does law reveal about the limits of machine learning? This talk presents a research agenda that approaches the Brazilian judiciary as a scientific object: a large-scale, evolving system whose behavior emerges from interactions among institutions, rules, people, and data. Drawing on an ongoing collaboration with the São Paulo Court of Justice (TJSP), the project combines empirical findings from classification, clustering, and segmentation models with a cross-disciplinary framework for understanding bias and risk in judicial AI, drawing from machine learning, legal theory, and the sociology of inequality. The long-term goal is the development of an empirical risk index for AI tools in judicial settings, and a book conceived as an interdisciplinary scientific contribution across mathematics, law, and social science. We believe judicial systems offer a rich and underexplored laboratory for formal modeling, and welcome collaborators who see in institutional and social complexity a productive frontier for their own research.