Global Toolkit on AI and the Rule of Law for the JudiciaryUNESCO (2023) 'Global toolkit on AI and the rule of law for the judiciary'. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000387331 (Accessed March 2025).
AymurAI is an AI tool developed in Argentina to improve the collection and analysis of data on gender-based violence from court rulings. By using Named Entity Recognition (NER) and regular expression techniques, it extracts key information from legal texts. The tool is open-source, promoting transparency and accessibility to help policymakers and researchers better address gender violence issues.
Ethical and Fairness Monitoring
Bias Detection and Mitigation: AI systems are employed to detect and mitigate biases in judicial decisions, ensuring fairness and impartiality in the legal process.
Transparency and Accountability Tools: These tools enhance the transparency of judicial processes and decisions, promoting accountability and public trust in the legal system.
Legal Research and Information Retrieval
AI-Powered Legal Research Tools: These tools assist in quickly retrieving relevant legal information, case law, and statutes, making legal research more efficient and comprehensive.
Document Analysis: AI systems analyze legal documents to extract pertinent information, helping legal professionals understand complex texts and precedents.
#analyzeIdentify patterns in gender-based violence (GBV) data from legal rulings. This AI tool leverages intersectional feminist principles to analyze judicial trends in Argentina and Mexico, supporting feminist campaigns and policy-making. It aims to provide actionable insights into GBV cases through anonymized data for improved justice outcomes.
#complyEnsure that gender-based violence (GBV) data collection and analysis align with privacy standards. AymurAI uses anonymized datasets to safeguard individual privacy while meeting ethical standards. By complying with data protection laws, it enhances transparency in judicial processes, fostering trust in the legal system.
The designations used and the presentation of materials throughout this repository do not imply the expression of any opinion on the part of UNESCO and IRCAI concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The ideas, opinions, and content presented in this repository are those of the authors; they do not necessarily represent the views of UNESCO and IRCAI and do not commit the Organizations.