Description of the service
Automation of the anonymization process of documents and their subsequent publication, using NLP techniques that also allow the detection of useful unstructured text data to structure it in a data frame that feeds the Court's open database.
Problem that it solves
The anonymization of personal information enables the opening and publication of court rulings, detects unstructured text entities related to gender violence cases, and returns a data frame.
Type of AI app used
Target-focused optimization, reasoning with knowledge structures, recognition
Main results to June 30, 2021
We have significantly improved document anonymization times and can optimally collect and analyze the data.
Three main bottlenecks faced during implementation
- Cultural issues
- Lack of funding
Lessons learned in the design or use of AI for social impact
- Importance of collaborative work
- The virtues of multi-stakeholder participation
- Mutual learning between developers and problem solvers
Country of origin
Geographic scope of operations
Buenos Aires
Type of executing entity
GovernmentSector/industry
Sustainable Development Goal(s) to which your AI solution contributes
5 (gender equality), 16 (peace, justice, and strong institutions)
IA app developed internally or by a third party
External company
Name of implementing entity
Contraventions and Misdemeanors Criminal Court No. 10, Buenos Aires
Stakeholders involved
Cambá Cooperativa de Trabajo
Percentage of the development team that are women
50%+ women and transgender people
Year they started using AI-based models
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