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Interactive AI-powered parliamentary data visualization with GraphRAG

Bahrain - Council of Representatives

Use case ID: 063

Author: Council of Representatives of Bahrain

Date: 6 October 2024 

Objective:

Automatically visualize parliamentary open data using GraphRAG technology by creating interactive node-based representations of bills and their associated discussions, videos and audio recordings. This enhances transparency and accessibility for users, enabling efficient navigation of legislative data. GraphRAG (retrieval-augmented generation) is an advanced approach to information retrieval and generation that combines graph-based knowledge representations with language models. 

Actors:

  • Parliamentary staff members
  • MPs
  • Citizens
  • AI development and support team 

Prerequisites:

  • Access to comprehensive datasets of parliamentary bills, discussions, videos and audio files
  • Pre-defined criteria for linking bills to discussions and media content (e.g. bill titles, dates, debate keywords)
  • Pre-trained AI models for content association and graph creation
  • Integration with parliamentary document and media management systems 

Scenario:

  1. A parliamentary staff member uploads a set of bills, discussions and media files (video clips and audio recordings) to the system.
  2. The staff member specifies criteria for linking discussions and media to each bill, such as keywords, dates or representative names.
  3. The AI system processes the documents and media using GraphRAG technology to create a node-based visualization.
  4. The system identifies and links bills to related discussions, videos and audio, forming interconnected nodes.
  5. The visualized data is presented in an interactive graph format, where each bill and discussion is represented as a node.
  6. Users can click on nodes to drill down and explore linked content, accessing discussions, video clips or audio recordings associated with each bill.
  7. MPs and authorized users can search for specific bills or discussions, and citizens can explore public data for insights. 

Alternate flows:

  • If unsupported file formats are uploaded, the system prompts the user to convert them to compatible formats before processing.
  • Users can filter or customize their view by topic, date or representative to streamline navigation. 

Expected results:

  • Increased accuracy and speed in linking parliamentary bills with relevant discussions and media
  • Improved accessibility and searchability of legislative data for both parliamentary staff and the public
  • Reduced manual workload for staff in organizing and retrieving legislative content 

Potential challenges:

  • Ensuring the AI system correctly links bills with discussions and media, especially in cases of ambiguous or complex references
  • Managing scalability as the volume of bills and media content grows over time
  • Seamlessly integrating the AI system with existing parliamentary document and media management systems 

Data requirements:

  • Historical parliamentary bills, discussions, videos and audio for model training
  • Metadata for bills (e.g. title, date, summary) and media content (e.g. topic tags)
  • Ongoing updates to parliamentary data to ensure the graph remains current 

Integrations with other systems:

  • Parliamentary document and media management systems
  • User authentication and access control systems 

Success metrics:

  • Accuracy of node connections between bills, discussions and media content
  • Reduction in time taken for users to find relevant bills and discussions
  • Increased engagement from MPs, staff and citizens in exploring parliamentary data
  • User satisfaction scores from parliamentary staff, MPs and citizens 

 

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. 

A use case describes how a system should work. It is used to plan, develop and measure implementation. A use case is not the same as a case study, which is a descriptive text of an actual project’s implementation. Please note that this use case is provided “as is” and neither the IPU nor the author accepts any responsibility for its use.

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