Tags and summaries of parliamentary reports

Use case ID: 012

Author: IT Department, Chamber of Deputies of Italy

Date: 22 May 2024

Objective: 

Automatically divide the report of a plenary session into sections based on subjects.

Generate tags and a brief summary for each section.

Actors: 

• Business units

Prerequisites:

• Existing database and content management system for verbatim reports

Scenario:

1. The user selects the verbatim report associated with a specific sitting.
2. The AI algorithm is executed on the verbatim report, which serves as input.
3. The AI algorithm divides the report into sections based on subjects.
4. The AI algorithm provides tags and a brief summary for each section.
5. The user keeps working on legislative documentation, using this information as a support.

Expected results:

• Workload for colleagues is reduced.
• It takes less time to produce legislative documentation.

Potential challenges:

• Ensuring the AI chatbot provides accurate and relevant responses
• Ensuring that the report is split correctly according to the various subjects covered during the sitting
• For each section, ensuring that the summary produced is exhaustive
• For each section, ensuring that the tags generated are appropriate

Data requirements:

• Database and content management system for verbatim reports of sittings

Integrations with other systems:

• System used to manage verbatim reports for sittings

Success metrics:

• User satisfaction scores for the split produced by the algorithm
• For each section, user satisfaction scores for the summary
• For each section, user satisfaction scores for the tags
• Time needed to produce parliamentary documentation