Classification of legislative proposals and norms

Classification systems

Brazil - Senate

Use case ID: 069
Author: Federal Senate of Brazil
Date: 2 October 2024


Objective:

Intelligent and efficient thematic classification of legislative documents (proposals and norms) based on their textual content.

Actors:

  • Federal Senate quality consultancy
  • Parliamentarians who draft legislative documents
  • Information system: legislative norms registration system (Sigen)

    Prerequisites:
  • Integration with the Sigen system
  • Existing knowledge base of classified legislative matters
  • Trained artificial intelligence (AI) model for multi-label text classification

    Scenario:
  • A user accesses the Sigen system.
  • The user selects a legislative matter to index.
  • The user requests the thematic classification from the AI system.
  • The system reads the content of the document and performs the classification.
  • The system returns the most relevant themes to the user, ordered by confidence score.
  • The user selects the correct theme(s) from those returned by the system.


Alternate flows:

  • If the system does not provide all the correct themes, the user can still choose themes manually through Sigen.


Expected results:

  • Correction in the classification of documents from previous years
  • Efficiency in indexing legislative matters
  • Legislative proposals and norms classified with higher quality
  • Reduction in review time for quality consultants



Potential challenges:

  • Ensuring the AI system provides accurate and relevant responses
  • Multi-label problem
  • Extensive number of themes
  • High degree of imbalance in the training data



Data requirements:

  • Knowledge base of classified legislative matters

    Integrations with other systems:
  • Sigen system
  • Analytics and reporting tools



Success metrics:

  • Average response time
  • Percentage of successful hits in classification suggestions
  • Reduction in the number of incorrectly classified legislative documents


The Use cases for AI in parliaments collection is published by the IPU’s Centre for Innovation in Parliament as part of the Parliamentary Data Science Hub’s project to create guidelines for AI governance in parliaments.

 

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International licence. It may be freely shared and reused with acknowledgement of the author and the IPU. 

 

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